bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Motion Detection Device in Sports Based on Deep Learning of Internet of Things
Authors: Li Shaolong , Zhou Changlei
Published: February 2022

With the improvement of people’s income levels in recent years, people have gradually begun to pay more attention to health, and the number of exercise and fitness people has increased year by year. People are gradually willing to pay for sports and fitness, increase sports consumption, and promote the development of the sports and fitness industry. This article aims to study the deep learning based on the Internet of things to make people aware of the importance of sports. Not loving sports is a major problem that contemporary people need to overcome. This article proposes how to design a motion detection device in sports based on deep learning of the Internet of things. Based on the calculation of the economic volume of the deep learning of the Internet of things and the questionnaire survey method, it can be seen that, in today’s globalization, although everyone knows the importance of sports, they are unwilling to practice it and would rather spend more time on the Internet. The experimental results of this article show that more than 50% of college students are very interested in sports and fitness, but the actual use is less than 30%, which is not optimistic. In social surveys, this number will be even lower, with only 14% of people interested in sports. Big data is like a “double-edged sword.” It not only displays the user’s exercise data in front of everyone through the built-in sensors of the mobile phone, but also manages their physical condition through these. How to use the strengths of sports applications at the same time properly disposing of private information is a part of the next development of sports applications that must be faced.
Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces
Authors: Khan Mumtaz , Khusro Shah , Alam Iftikhar , Ali Shaukat , Khan Inayat
Published: February 2022

The user interface (UI) is a primary source of interaction with a device. Since the introduction of graphical user interface (GUI), software engineers and designers have been trying to make user-friendly UIs for various computing devices, including smartphones, tablets, and computers. The modern smart TV also comes with built-in operating systems. However, little attention has been given to this prominent entertainment device, i.e., smart TV. The technological advancement and proliferation of smart TV enabled the manufacturer to provide rich functionalities and features; however, this richness resulted in more clutter and attention-demanding interfaces. Besides, smart TV is a lean-back supporting device having a diverse range of users. Therefore, smart TV’s usability and user experience (UX) are questionable due to diverse user interests and limited features of traditional remote controls. This study aimed to discuss and critically analyze the features and functionalities of the existing well-known smart TV UIs of various operating systems in the context of usability, cognition, and UX. Moreover, this study highlights the issues and challenges in the current smart TV UIs and recommends some research opportunities to cope with the smart TV UIs. This study further reports and validates some overlooked factors affecting smart TV UIs and UX. A subjective study and usability tests from diverse users are presented to validate these factors. The study concludes that a one-size-fits-all UI design is unsuitable for shared devices, i.e., smart TV. This study further recommends a personalized adaptive UI, which may enhance the learnability and UXs of the smart TV viewers.
[Retracted] Improvement of the Accuracy in the Identification of Coronary Artery Disease Combining Heart Sound Features
Authors: Li Haixia , Zhang Guojun , Shao Guicheng , Wang Aizhen , Gu Yarong , Tian Zhumei , Zhang Qiong , Shi Pengcheng
Published: February 2022

Most researchers use features of diastolic murmurs to identify coronary artery disease. However, the diastolic murmurs of coronary artery disease are usually very weak and are easily contaminated by noise and valvular murmurs. Therefore, the diagnostic accuracy of coronary artery disease when only using diastolic murmurs is not well. An algorithm for improving the accuracy in the identification of coronary artery disease by combining the features of the first heart sound and diastolic murmurs was proposed. Firstly, a first heart sound feature extraction algorithm was used to identify coronary artery disease from noncoronary artery disease. Secondly, the Empirical Wavelet Transform algorithm was used to decompose the diastolic heart sound into three modes, and the spectral energy of each mode was calculated to distinguish coronary artery disease from noncoronary artery disease. Then, the features of the fist heart sound, the second diastolic spectral energy, and the parameter P3, which was used to discriminate the diastolic murmurs in coronary artery disease and in valvular disease, were combined together to improve the diagnostic accuracy of coronary artery disease. The comparison experiment results show that the accuracy of the proposed algorithm is superior to some state‐of‐the‐art methods when they are used to diagnose coronary artery disease.
Watchman Device Dislodgement Creating a Left Ventricular Outflow Tract Obstruction Requiring Emergency Cardiopulmonary Bypass
Authors: Roberts Alex , Mach Steven , Goebel Jason , Palomino Heather , Horstemeyer Derek
Published: February 2022

Left atrial appendage (LAA) occlusion device implantation is becoming a more common alternative for stroke prophylaxis in patients with nonvalvular atrial fibrillation (AF) who are not able to tolerate long-term anticoagulation. Studies suggest the procedure has a 98.5% successful deployment rate (Boersma et al., 2016). We present a case where a rare but known complication involving dislodgement and migration of an implanted Watchman LAA occlusion device led to functional stenosis of the aortic valve creating a left ventricular outflow tract (LVOT) obstruction necessitating emergency cardiopulmonary bypass in the electrophysiology lab to safely retrieve the device.
Emotional Calculation Method of Rural Tourist Based on Improved SPCA-LSTM Algorithm
Authors: Chen Xi
Published: February 2022

New technologies such as big data and cloud computing provide new means and tools for rural development. The big rural tourism, with its convenience, quickness, and low threshold, presents great convenience for tourists’ emotional calculation and has become one of the main sources of tourism big data. Under the guidance of big data theory and emotion theory, this paper proposes an emotional calculation method of rural tourists based on improved SPCA-LSTM algorithm, taking big text data as data source. Firstly, the improved TF-IDF algorithm is designed to highlight the importance of feature items, and the word vector trained by word2vec model is applied to represent the rural tourism data text. Then, a weighted sparse PCA (RSPCA) is constructed to reduce the dimension of massive word vector features. RSPCA introduces the weighted

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optimization framework and LASSO regression model into the mathematical model of PCA algorithm and establishes a new data dimension reduction model. Thereupon, the long-term and short-term memory convolution network with attention mechanism is employed to extract text features. Finally, the feature vector is utilized to calculate the rural tourist’s emotion by softmax function. The experimental results indicate that the improved SPCA-LSTM algorithm, whose performance index is better than other existing algorithms, is effective in calculating tourists’ emotions. Also, it is more suitable for the research of tourist sentiment calculation in the era of big data.
An Account of Civil Liability for Violating Private Life in Social Media
Authors: Yas Nadia , Dafri Wided , Rezaei Gashti Zeynab
Published: February 2022

The incredible utilization of online media brought about significant advantages for mankind in their everyday life. In any case, its utilization was never intended for antagonistic maltreatment by an enormous number of individuals to hurt others, especially spying on their private life. As such, this has seen the issue of identity and social dangers skyrocketing in the recent past. The numerous calls for outright freedom of opinion and the privilege of the individual to talk about everything, away from legitimate punishments, just as obliviousness of numerous individuals of their privacy rights such as their right for protection, depict these acts. With these incidences being on the rise, there is the need for legislative intervention. It is based on these incidences that the study sought to investigate an account of civil liability on the violation of private life in social media. The study pointed out the effects of social media on the idea of the privilege of life security, the privilege of data protection, and the legal legislation on the infringement of protection in terms of the material and moral aspect (Gomez, 2021). The study involved the use of the descriptive and analytical approach whereby keywords were used to search relevant data on the subject of protection of private life and its infringement through social sites. The research inferred that there is confusion in ideas and applications with regard to the idea of private life. Also, because of the relationship between basic liberties and opinion, the civil laws become clear. Furthermore, as the result of the quick advancements in the field of social media, the subsequent specialized complexities of civil liability and controlling its sources are identified. The study suggested for additional discussions on this phenomenon and refreshing the continuous legislations to adapt to the quick and nonstop improvement of the technical revolution. Given what is popular today of the intentional display of individual information increasing via social media sites and the widespread phenomenon of spying the private life of others, this raises the issue of identity and social dangers coming about because of the digital presence of people. Dealing with abuses that influence them by governments, or any other parties, needs numerous directions on the most proficient method to secure them by updating the significant legitimate frameworks.
Comparison of the Efficacy of Dexamethasone and Methylprednisolone in Infiltration Injection for Postendodontic Pain in Patients with Necrotic Pulp: A Randomized Controlled Clinical Trial
Authors: Yeganegi Sheyda , Fazelian Nafiseh , Layegh Nejad Mohammad Karim , Manzouri Leila
Published: February 2022

Purpose. Postendodontic pain is one of the problems of root canal therapy. This clinical study aimed to evaluate the effect of infiltration injection of dexamethasone and methylprednisolone on postendodontic pain in patients with necrotic pulp. Methods. A total of 80 volunteers with necrotic pulp teeth were included and assigned to two groups (n = 40). After the administration of local anesthesia and before root canal therapy, in group 1, an infiltration injection of 1 ml of dexamethasone was done and in group 2, an infiltration injection of 1 ml of methylprednisolone was done in the buccal vestibule of each tooth. Patients’ pain was reported using a visual analogue scale at pretreatment and 6, 12, 24, and 48 hours after treatment. Results. There was no significant difference between the two groups receiving dexamethasone and methylprednisolone at pretreatment and 6, 12, 24, and 48 hours after endodontic treatment. Conclusions. Infiltration injection of dexamethasone and methylprednisolone had a significant effect in reducing pain after the endodontic treatment in necrotic pulp teeth, but between 6 and 12 hours, methylprednisolone had significantly more effect on pain relief than dexamethasone. Overall, the use of any of these drugs to reduce postendodontic pain is recommended.
Laparoscopic Management of an Inflammatory Pseudotumor Mimicking a Locally Advanced Renal Carcinoma: A Diagnostic Pitfall
Authors: Boualaoui Imad , Ziani Idriss , Marrakchi Salma , Raiss Mohammed , Zouidia Fouad , Ibrahimi Ahmed , El Sayegh Hachem , Nouini Yassine
Published: February 2022

Inflammatory pseudotumors of the kidney are an infrequent entity. More frequently described in the lung, the genitourinary tract location is rare. Commonly described in the bladder, the kidney damage remains exceptional. Herein, we report the case of 60 years old man with a history of flank pain, initially diagnosed with a locally advanced left renal carcinoma invading the left colon. Then, after performing a laparoscopic radical nephrectomy, the histopathological diagnosis of inflammatory pseudotumor of the left kidney has been made.
Ferroptosis-Specific Inhibitor Ferrostatin-1 Relieves H2O2-Induced Redox Imbalance in Primary Cardiomyocytes through the Nrf2/ARE Pathway
Authors: Sun Chaofeng , Peng Fang , Li Jianfei , Cui Xudong , Qiao Xin , Zhu Wangliang
Published: February 2022

Objective. Ischemic heart disease (IHD) has always been the focus of attention of many researchers in cardiovascular disease, and its pathogenesis is also very complicated. Ferroptosis may be involved in the occurrence and development of IHD. Methods. First, primary cardiomyocytes were treated with H2O2 to simulate the IHD in vitro model. After pretreatment with different concentrations of ferrostatin-1, cell survival rate was detected by MTT method, cell apoptosis was detected by TUNEL staining and flow cytometry, and the expression of oxidative stress, ferroptosis, and related molecules of Nrf2/ARE pathway was detected by Western blotting (WB) and quantitative real-time polymerase chain reaction (qRT-PCR). Results. The mortality of primary cardiomyocytes in the H2O2 group was obviously increased. Ferrostatin-1 treatment can effectively inhibit cell death, improve antioxidant enzyme activity, inhibit the expression of ferroptosis-related molecules, and activate Nrf2/ARE pathway expression. Conclusion. Ferroptosis-specific inhibitor ferrostatin-1 relieves H2O2-induced redox imbalance in primary cardiomyocytes through the Nrf2/ARE pathway, inhibits ferroptosis, and thereby slows cardiomyocyte death.
A Divide-and-Conquer Bat Algorithm with Direction of Mean Best Position for Optimization of Cutting Parameters in CNC Turnings
Authors: Huang Xingwang , He Zongbao , Chen Yong , Xie Shutong
Published: February 2022

Optimization of machining parameters is an important problem in the modern manufacturing world due to production efficiency and economics. This problem is well known to be complex and is regarded as a strongly nondeterministic polynomial (NP)-hard problem. To reduce the production cost of work-pieces in computer numerical control (CNC) machining, a novel optimization algorithm based on a combination of the bat algorithm and a divide-and-conquer strategy is proposed. First, the basic bat algorithm (BA) is modified with the aim to avoid finding the local optimal solution. In addition, a Gaussian quantum bat algorithm with direction of mean best position is developed. Second, in order to reduce the complexity of the optimization problem, the whole optimization problem is divided into several subproblems by using a divide-and-conquer strategy according to the characteristic of multipass turning operations. Finally, under a large number of machining constraints, the cutting parameters of the two stages of roughing and finishing are simultaneously optimized. Simulation results show that the proposed algorithm can find better combinations of the machining parameters than other algorithms proposed previously to further reduce the production cost. In addition, the outcome of our work presents a novel way to solve the complex optimization problem of machining parameters with a combination of traditional mathematical methods and swarm intelligence algorithms.
Artificial Intelligence‐Based Real‐Time Signal Sample and Analysis of Multiperson Dragon Boat Race in Complex Networks
Authors: Li Yu , Liu Peihua
Published: February 2022

Dragon boat sport is a traditional activity in China. In recent years, dragon boat sport has become more and more popular around the world. In order to face more challenges, it is urgent for athletes to enhance their own strength. Scientific training methods are particularly important for athletes, and accurate training data are the basis to support scientific training. Traditional mathematical statistic methods neither can sample signals accurately nor can they do real‐time analysis and feedback the characteristics to each athlete. In this paper, we use the wearable device with a triaxial accelerometer and heart rate sensor builtin to sample the speed signals and heart rate signals of athletes in various stages of men’s 1000m straight race. Based on the complex network theory, we regard the 23 dragon boat athletes in the dragon boat race as 23 nodes so as to establish a network with 23 nodes and reflect the importance of nodes by measuring the impact of node deletion on the results of the race. The neural network multilayer perceptron (MLP) model is used for training to obtain the optimal combined value with speed and heart rate for each race stage. The optimal value will be used in the simulated race as the target value to verify if it can help to improve the training efficiency. Experimental results show that the optimal value obtained by this method has a positive effect on the results of the dragon boat race which is beneficial to sports training and tactics planning.
An Efficient Feature Selection Method for Video-Based Activity Recognition Systems
Authors: Siddiqi Muhammad Hameed , Alsirhani Amjad
Published: February 2022

Human activity recognition (HAR) is the examination of gestures and actions of humans from various resources such as depth or RGB cameras. In this work, we have designed a dynamic and robust feature selection algorithm for a HAR system, through which the system accurately recognizes various kinds of activities. In the proposed approach, we employed mutual information algorithm, which selects the prominent features from the extracted features. The proposed algorithm is the expansion of two methods like max-relevance and min-redundancy, respectively. This method has the capability to gather the assets of various extraction algorithms. But the procedure of selection may be unfair due to the dissimilarity between the classification power and redundancy of the features. To resolve this type of unfair selection, we stabilize both parts through the proposed algorithm that has autonomous upper limit of the mutual information function. Likewise, for the feature extraction and recognition, we used the symlet wavelet transform and hidden Markov model, respectively, for action classification. The proposed algorithm has been justified on depth-based database which has thirteen kinds of activities under comprehensive set of experiments. We showed that the proposed feature selection method achieved best classification accuracy against existing works.
Approaches to Quality Education in Tertiary Sector: An Empirical Study Using PLS-SEM
Authors: Ashraf Mohammad Ali , Ahmed Hasnan
Published: February 2022

Quality assurance in education has been a critical issue in both private and public higher education in all emerging economies since World War II. Available theories on quality education are numerous, but their strategic models are sparsely sustained. The main objective of this study is, therefore, to articulate and to empirically test a conceptual model to assure and sustain quality in tertiary education grounding on a theory base presented by Chohen and Ball (2006). The model has three parts: independent components, i.e., quality inputs such as quality teachers, quality students, and quality staffs; mediating component, i.e., quality process such as quality programs; and target component, i.e., quality product such as quality education. Data (n = 97 private universities) were gathered from a report of the university grant commission (UGC), Bangladesh. The data were analysed following PLS-SEM using SmartPLS3 and SPSS software. Findings indicate that all of the predictors appear to be robust in predicting quality education. The results also indicate that the mediating construct has a significant partial mediating role in enhancing quality education in private universities. These outcomes will help academic authorities formulate the right policy option in assuring quality education in higher education institutes in Bangladesh.
Machine Reading Comprehension-Enabled Public Service Information System: A Large-Scale Dataset and Neural Network Models
Authors: Zeng Changchang , Li Shaobo , Chen Bin
Published: February 2022

With the rapid development of 5G and machine learning, various innovative information systems continue to emerge. Among them, the public service information system (PSIS) has attracted extensive attention from researchers. However, the existing public service information system can only handle simple tasks and cannot answer complex questions raised by citizens. In this paper, we explore the application of machine reading comprehension to the field of Chinese public service information systems from scratch. Machine reading comprehension is a new research hotspot in the field of machine learning, which has great application potential in PSIS systems. However, work in this area is still lacking, with neither large scale datasets nor neural network models available. To address the above issue, first, we create a large scale machine reading comprehension dataset of Chinese public service information, including public service affair guidelines, policies, etc. Next, we propose several new neural network models which were continually pretrained on the Chinese public service corpus. The experimental results show that the proposed models achieve a significant improvement over several previous SOTA models on the new dataset. However, they are still far below human performance, indicating that the proposed dataset is challenging.
Applications of Mobile Information Processor Edge‐Over‐Edge Molecular Wires with High‐Performance Thermoelectric Generators
Authors: Binoj J. S. , Hassan Shukur Abu , Khan Reefat Arefin , Ali Alamry
Published: February 2022

If high‐efficiency organic isotherm models for mobile processors can be found, a variety of energy harvesting devices, such as Peltier coolers composed of flexible and transparent thin‐film materials, might be manufactured. The thermoelectric characteristics of three zinc porphyrins (ZnP) were studied. Theoretical analyses of electron transport across a potassium (Zn‐Diphenyl porphyrin: Zn‐DPP) molecular sandwiched between electrode surface with three distinct connections were investigated. The contribution of this research is to see what happens because once pyridine is added above the surface of the zinc‐porphyrin skeleton, the “edge‐over‐edge” dimer created from stacked formed rings has a high electrical conductance, minimal exciton thermal conductance, and a large thermal diffusivity on the order of 300 V K1. At room temperature, these variables add up to a projected ZT 4 figure of merit, the greatest ZT for a single organic molecule ever seen. The stacked arrangement of the porphyrin rings causes low phonon thermal conductance, which delays phonon transport across the edge‐over‐edge molecule and increases the Seebeck coefficient, resulting in a higher ZT value.
A Distributed Unequal Clustering Routing Protocol Based on the Improved Sine Cosine Algorithm for WSN
Authors: Zhu Fang , Wang Wenhao
Published: February 2022

In order to balance the overall energy consumption and improve the energy efficiency of wireless sensor network (WSN), a distributed energy-balanced unequal clustering routing protocol based on the improved sine cosine algorithm (DUCISCA) is proposed. Firstly, DUCISCA adopts a time-based cluster head competition algorithm. In this algorithm, the broadcast time depends on the residual energy of the candidate cluster head, the distance to the base station, and the number of neighbour nodes. Secondly, a competition radius considering the distance from node to base station and the residual energy of node is proposed. It can balance energy consumption of nodes in different locations to avoid the “hot spot” problem. At the same time, it adopts a time-based broadcast mechanism. The waiting time depends on the residual energy of CCHs, the distance to the BS, and the number of neighbour nodes, which can effectively reduce the overhead of nodes. Thirdly, the energy of cluster head, the number of neighbour nodes, and the distance from the ordinary node to the cluster heads need to be taken into account to get a better clustering result. Finally, in order to speed up convergence and improve the ability to jump out of local optimum, the improved sine-cosine algorithm (ISCA) based on Latin hypercube sampling and adaptive mutation is proposed. The improvement strategies adopted by ISCA are expressed as follows: Firstly, the diversity of the population is enhanced through LHS population initialization. Secondly, the adaptive weight strategy is introduced to accelerate the convergence speed of the algorithm. Finally, the population is disturbed by Gaussian mutation or Levy flight to jump out of the local optimum. The standard deviation of cluster heads’ residual energy in intercluster communication is taken as the objective function to search the energy-balanced intercluster data forwarding path based on ISCA. Compared with EEUC, DEBUC, I-EEUC, and M-DEBUC, the simulation results prove that DUCISCA can effectively balance the overall network energy consumption and prolong the network lifetime.
The Application of FTIR Spectroscopy and Chemometrics for the Authentication Analysis of Horse Milk
Authors: Arifah Mitsalina Fildzah , Irnawati  , Ruslin  , Nisa Khoirun , Windarsih Anjar , Rohman Abdul
Published: February 2022

Expensive milk such as horse’s milk (HM) may be the target of adulteration by other milk such as goat’s milk (GM) and cow’s milk (CM). FTIR spectroscopy in combination with chemometrics of linear discriminant analysis (LDA) and multivariate calibrations of partial least square regression (PLSR) and principal component regression (PCR) was used for authentication of HM from GM and CM. Milk was directly subjected to attenuated total reflectance (ATR) spectral measurement at midinfrared regions (4000-650 cm-1). Results showed that LDA could make clear discrimination between HM and HM adulterated with CM and GM without any misclassification observed. PLSR using 2nd derivative spectra at 3200-2800 and 1300-1000 cm-1 provided the best model for the relationship between actual values of GM and FTIR predicted values than PCR. At this condition,

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values for calibration and validation models obtained were 0.9995 and 0.9612 with RMSEC and RMSEP values of 0.0093 and 0.0794. PLSR using normal FTIR spectra at 3800-3000 and 1500-1000 cm-1 offered

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for the relationship between actual values of CM and FTIR predicted values of >0.99 in calibration and validation models with low errors of RMSEC of 0.0164 and RMSEP of 0.0336 during authentication of HM from CM. Therefore, FTIR spectroscopy in combination with LDA and PLSR is an effective method for authentication of HM from GM and CM.
Rules of Smart IoT Networks within Smart Cities towards Blockchain Standardization
Authors: Alasbali Nada , Azzuhri Saaidal Razalli Bin , Salleh Rosli Bin , Kiah Miss Laiha Mat , Shariffuddin Ahmad Aliff A. S. Ahmad , Kamel Nik Muhammad Izwan bin Nik Mohd , Ismail Leila
Published: February 2022

Motivation. Standardization in smart city applications is restricted by the competitive pressures of proprietary innovation and technological compartmentalization. Interoperability across networks, databases, and APIs is essential to achieving the smart objectives of technology-supported urban environments. Methodology. The issues that smart cities face, as well as the usage of blockchain in Internet of Things (IoT) applications, are discussed in this research paper. Problem Statement. The study shows the obstacles to the establishment of an IoT-driven smart city agenda, including system security, dispersed node interoperability, data resource management, and scalability of a diverse IoT network. Results. To resolve these challenges, this research proposes a working infinite loop model for establishing a standardized, intermediary cloud-based blockchain for IoT networking within smart cities. The blockchain intermediary function will resolve critical gaps in the existing, distributed IoT-based smart cities’ standards, drawing connections between nodes, users, and service providers that are enabled through autonomous, immutable, and nonrepudiated transactions.
Integral Absorbing Boundary Conditions Optimized for Modelling of Acoustic Radiation of Elongated Bodies
Authors: Salin Mikhail B. , Smirnov Sergey A. , Suvorov Anatoliy S. , Usacheva Irina A. , V’yushkina Irina A.
Published: February 2022

We propose a method of defining absorbing boundary conditions for use in finite element modeling of mechanoacoustic systems. The finite element model of an elastic body is expanded by a water domain, bounded by an axisymmetric surface, to which boundary conditions are applied. The boundary conditions are formed using the method of equivalent sources, so the integral relations for the pressure and its gradient are derived. The method retains its validity for the modeling of radiation in the low-frequency range, as it provides not only the absorption of outgoing waves but also the modeling of the added mass of vibrating elastic bodies.
Liver Cancer Study Group of Japan Clinical Practice Guidelines for Intrahepatic Cholangiocarcinoma
Authors: Kubo Shoji , Shinkawa Hiroji , Asaoka Yoshinari , Ioka Tatsuya , Igaki Hiroshi , Izumi Namiki , Itoi Takao , Unno Michiaki , Ohtsuka Masayuki , Okusaka Takuji , Kadoya Masumi , Kudo Masatoshi , Kumada Takashi , Kokudo Norihiro , Sakamoto Michiie , Sakamoto Yoshihiro , Sakurai Hideyuki , Takayama Tadatoshi , Nakashima Osamu , Nagata Yasushi , Hatano Etsuro , Harada Kenichi , Murakami Takamichi , Yamamoto Masakazu
Published: February 2022

This paper presents the first version of clinical practice guidelines for intrahepatic cholangiocarcinoma (ICC) established by the Liver Cancer Study Group of Japan. These guidelines consist of 1 treatment algorithm, 5 background statements, 16 clinical questions, and 1 clinical topic, including etiology, staging, pathology, diagnosis, and treatments. Globally, a high incidence of ICC has been reported in East and Southeast Asian countries, and the incidence has been gradually increasing in Japan and also in Western countries. Reported risk factors for ICC include cirrhosis, hepatitis B/C, alcohol consumption, diabetes, obesity, smoking, nonalcoholic steatohepatitis, and liver fluke infestation, as well as biliary diseases, such as primary sclerosing cholangitis, hepatolithiasis, congenital cholangiectasis, and Caroli disease. Chemical risk factors include thorium-232, 1,2-dichloropropane, and dichloromethane. CA19-9 and CEA are recommended as tumor markers for early detection and diagnostic of ICC. Abdominal ultrasonography, CT, and MRI are effective imaging modalities for diagnosing ICC. If bile duct invasion is suspected, imaging modalities for examining the bile ducts may be useful. In unresectable cases, tumor biopsy should be considered when deemed necessary for the differential diagnosis and drug therapy selection. The mainstay of treatment for patients with Child-Pugh class A or B liver function is surgical resection and drug therapy. If the patient has no regional lymph node metastasis (LNM) and has a single tumor, resection is the treatment of choice. If both regional LNM and multiple tumors are present, drug therapy is the first treatment of choice. If the patient has either regional LNM or multiple tumors, resection or drug therapy is selected, depending on the extent of metastasis or the number of tumors. If distant metastasis is present, drug therapy is the treatment of choice. Percutaneous ablation therapy may be considered for patients who are ineligible for surgical resection or drug therapy due to decreased hepatic functional reserve or comorbidities. For unresectable ICC without extrahepatic metastasis, stereotactic radiotherapy (tumor size ≤5 cm) or particle radiotherapy (no size restriction) may be considered. ICC is generally not indicated for liver transplantation, and palliative care is recommended for patients with Child-Pugh class C liver function.
Determinants of Firm Value in Indonesia: Financial Factors or Non Finan-cial Factors?
Authors: Pujiati Diyah , Averina Maria
Published: February 2022

Firm value plays an important role for public companies because it can affect investor perceptions. The company is always trying to improve the quality of the company to be able to compete in the capital market to attract investors. The success of the company can only be achieved through good company management, improving company performance, so that in the end it can increase company value. This study aims to examine the factors that affect firm value in Indonesia. The factors used in this study are corporate social responsibility, environmental disclosure, ownership concentration, and earnings quality. The research sample is manufacturing companies on The Indonesia Stock Exchange with a research period of 2017-2019. The research sample consists of 127 observations. Data were analyzed using linear regression. The results of this study show that corporate social responsibility, environmental disclosure, and ownership concentration affected firm value, while earnings quality did not affect a firm's value in Indonesia. This study implies that non-financial factors determine to firm's value more than financial factors.
Ctrl C + Ctrl V: Plagiarism and Knowledge on Referencing and Citation among Pre-service Teachers
Authors: Bautista Ronalyn Maguale , Pentang Jupeth Toriano
Published: February 2022

Issues on plagiarism among pre-service teachers (PSTs) have increased in modular and online learning. To confirm this, the study determined the PSTs’ level of awareness on plagiarism; their knowledge on referencing and citation; and the correlation between their level of awareness on plagiarism and knowledge on referencing and citation, with their academic performance. The study employed a descriptive-correlational research design participated by 235 PSTs randomly sampled through strata. The data were gathered through a web-based survey. Results showed that the PSTs’ level of awareness of plagiarism was moderate, while the majority have fair knowledge in referencing and citation. Also, results showed a significant relationship among the level of awareness on plagiarism, knowledge on referencing and citation, and academic performance. It is recommended that institutions equip librarians and educators to teach PSTs about citation and referencing skills. Besides, the institution should make sure that a policy is implemented to pursue academic integrity. This policy must articulate the various types of plagiarism, plagiarism measurement, and fair and consistent disciplinary actions.
Financial Literacy, Individual Characteristic and Financial Inclusion: A Study on Lecturers in Palembang
Authors: Soejono Fransiska , Mendari Anastasia Sri
Published: February 2022

This study aims to analyze the effect of financial literacy, gender, age, income, and education on financial inclusion. This research involves university lecturers in the city of Palembang. The snowball sampling technique was used in this study and a total of 153 questionnaire forms were returned and could be processed. Hypothesis testing using multiple linear regression and SPSS assistance. The results showed that financial literacy and income had a positive and significant effect on financial inclusion, while other variables, namely gender, age, and education had no significant effect on financial inclusion. The implication is that the government through the Financial Services Authority (OJK) still needs to educate university lecturers in Palembang, especially those with below-average income, with the hope that the financial literacy of lecturers in Palembang will increase and all lecturers, especially those with low incomes, so that they have sufficient knowledge. to take the decision to have a financial product from a formal financial institution.
Exploring the Experiences of Senior High School Students on Business Simulation in the New Normal: Basis for a Proposed Intervention Program
Authors: Amper Edlyn C.
Published: February 2022

Work immersion is a subject in senior high school that is being taught to prepare learners for their future endeavors. As part of the preparation of the Department of Education to secondary students for work, entrepreneurship, and higher education. Immersion can also help students strengthen their skills or expertise, preparing them for future careers. This study is a qualitative research study that focuses on the business simulation experiences of Senior High School students in the midst of pandemics. The main purpose of this study is to determine the different components that contribute to Entrepreneurial sustainability through business simulation in work immersion subjects and to assess the long-term implications of the entrepreneurial desire of learners to engage in small businesses for senior high school students in time of Covid-19 pandemic and to provide The proposed intervention is not simply focused on the school; the data gathered from the students is heavily influenced by the community. The schools, in collaboration with the teachers, lead learners through their school activities, preparing them to meet the obstacles they will face as they enter the profession. The school can aid the learner in preparing their product and assisting with the planning stage of their business simulation activity. Learners' business simulations require community assistance to be effective. The students urge for support structure that the community and local government can provide in the form of product marketing, patronage, and financial support to encourage aspiring entrepreneurs like the learners to keep their small businesses running.
Can We Validate the Value? Valuing Automotive and Component Sub-Sector Companies Listed on the Indonesia STOCK Exchange during the Covid-19 Pandemic Crisis
Authors: Soelistyo Alex , Hendrawan Riko
Published: February 2022

This study provides a comprehensive fundamental-based value analysis of firms using Discounted Cash Flow (DCF) and Relative Valuation (RV) approaches. This study reveals how these approaches behave in valuing firms during a crisis such as the one caused by the current covid-19 pandemic and how to validate the results as well as correct them if the results was invalid. The object of the study is companies in the automotive and component sub-sector listed in Indonesia Stock Exchange (IDX) in 2020. The company's historical financial data between 2016 and 2020 are used to predict its financial behavior over the next five years under three scenarios: optimistic, moderate, and pessimistic. From the study employing the DCF method, the following results were obtained: ASII and INDS stocks were overvalued in all scenarios, GJTL were undervalued in all scenarios, and SMSM were overvalued in pessimist and moderate scenarios while undervalued in optimist scenario. Correction upon intrinsic values of SMSM and ASII is required since the result from RV analysis imply that the DCF results of both companies are not entirely valid, which indicates that the pandemic crisis has significantly affected the value of both companies. Investment recommendations for both ASII and INDS were to sell the stocks while for both SMSM and GJTL were to buy the stocks.
Os modo(s) de produção asiático(s) e o orientalismo em Marx
Authors: Silva Uiran Gebara da
Published: February 2022

The Asiatic Mode of Production is one of the more problematic components of the Marxist Theory on modes of production, because it includes the idea of a single abstract concept which could apprehend the multiple, in time and in space, social realities of the enormous region called Asia, and also because of the judgment it allows to be made in respect of these societies. And so, analyzing the concept of Asiatic Mode of Production is a manner of dealing with Eurocentrism, Orientalism and of understanding their relationships with the Historical Materialism.
Tradição crítica ou ficção soviética?
Authors: Soares Sonia Branco
Published: February 2022

In addition to the dispute between liberal and conservative intellectuals there appeared, in the middle of the nineteenth century, a group of radical critics that introduced a new line of thought, of a materialist sort, which soon conquered a relevant space within the Russian society. In the Soviet Union, this new line of thought was related to the idea of socialist realism.
As mulheres hebréias não são como as egípcias: uma leitura contextual de Ex 1:19
Authors: Chwarts Suzana
Published: February 2022

This article focuses on an array of interpretations of Ex 1: 19, where the midwives tell the Pharaoh that Hebrew women are not like the Egyptian women.
Caos e demonismo em O Diabo Mesquinho, de Fiódor Sologub
Authors: Mountian Daniela
Published: February 2022

This articles aims to retlect on the use of literary archetypes in the Fiodor Sologub's novel The Petty Demon, highlighting the insertion of the myth of the creation in the structure of his work. When associating the evilness presented in the work to the original chaos, the novel inserts itself in the particular and powerful tradition of the Russian prose, inaugurating it and breaking it at the same time.
Can a woman do it? On the search for identity and a sense of belonging in the novel Air-Roots by Ruth Almog
Authors: Silverman-Forner Naama
Published: February 2022

This article deals with the novel AIR-ROOTS by Ruth Almog, which was published in Israel in 1987. This novel is distinguished from Almog's previous work in its attempt to tackle new themes. For the first time, Almog portrays a feminine character who is a political activist; through her the author deals with the political-social-ideological questions related to the state of Israel. Mira Gutman, the heroine, grew-up in one of the first Jewish settlements. Her father dedicated himself to serve the country and left her with a mentally ill, suicidal mother. The story shows Mira's search for identity and a place in the world as a woman and an Israeli. The end of the novel implies that Mira would be able to find her identity and place in the world, only when she would return to Israel and renew her attempt to write her greatgrandfather's story. Through researching his life and opinions she would also find a way to involve herself in the crucial political problem of Israel: the Jewish-Palestinian conflict. In conclusion, the novel presents a woman who wants to be heard regarding the "big" issues, but she needs the help of a man (her great-grandfather) to do so.
As ferramentas usadas para a formação neológica na língua árabe: a terminografia das línguas de especialidade como objeto de estudo
Authors: Gomes Elias Mendes
Published: February 2022

The expansion of the Arabic language to beyond its historical borders followed the Islamic territorial conquest. The contact with the pockets of Hellenic culture, revealed a terminological vacuum in the lexicon of those Bedouins from the Arabian Peninsula,as there was no technical vocabulary to express the notions already consecrated in the languages of the conquered cultures. The same situation is repeated in the "recent" technological invasion from the western world which led to the uncontrollable formation of neologisms, and the subsequent creation of the Language Academies in the different Arab nations to regulate the incorporation of new terms to the lexicon. The Arabic language reacted in different ways to the foreign concepts brought in by these new ideas and concepts. Their addition to the lexicon was done through the tools explored in this article: ichtiqãq/ morphologic derivation, /majaz/ semantic broadening, /ta'rib/borrowing (literally "arabization"), and /naht/ compounding.
Feasibility and Short‐Term Effects of a Multi‐Component Emergency Department Blood Pressure Intervention: A Pilot Randomized Trial
Authors: Spieker Andrew J. , Nelson Lyndsay A. , Rothman Russell L. , Roumie Christianne L. , Kripalani Sunil , Coco Joseph , Fabbri Daniel , Levy Phillip , Collins Sean P. , Wang Tommy , Liu Dandan , McNaughton Candace D.
Published: February 2022

Background

Emergency department (ED) visits can be opportunities to address uncontrolled hypertension. We sought to compare short‐term blood pressure measures between the Vanderbilt Emergency Room Bundle (VERB) intervention and usual care plus education.

Methods and Results

We conducted a randomized trial of 206 adult patients with hypertension and elevated systolic blood pressure (SBP) presenting to 2 urban emergency departments in Tennessee, USA. The VERB intervention included educational materials, a brief motivational interview, pillbox, primary care engagement letter, pharmacy resources, and 45 days of informational and reminder text messages. The education arm received a hypertension pamphlet. After 78 participants were enrolled, text messages requested confirmation of receipt. The primary clinical outcome was 30‐day SBP. The median 30‐day SBP was 122 and 126 mm Hg in the VERB and education arms, respectively. We estimated the mean 30‐day SBP to be 3.98 mm Hg lower in the VERB arm (95% CI, −2.44 to 10.4;
P
=0.22). Among participants enrolled after text messages were adapted, the respective median SBPs were 121 and 130 mm Hg, and we estimated the mean 30‐day SBP to be 8.57 mm Hg lower in the VERB arm (95% CI, 0.98‒16.2;
P
=0.027). In this subgroup, the median response rate to VERB text messages was 56% (interquartile range, [26%‒80%]).

Conclusions

This pilot study demonstrated feasibility and found an improvement in SBP for the subgroup for whom interactive messages were featured. Future studies should evaluate the role of interactive text messaging as part of a comprehensive emergency department intervention to improve blood pressure control.

Registration

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT02672787.