bluuebunny/crossref_metadata_2025 huggingface dataset:
EXPERIMENTAL MODELS OF FETOPLACEENTAL INSUFFICIENCY IN ANIMALS (LITERATURE REVIEW AND OWN OBSERVATIONS)
Authors: Seliukova N. Yu. , Misyura K. V. , Storozhenko G. V.
Published: January 2021

This literature review is devoted to experimental models of placental disorders in animals. Today, our knowledge of the structure and function of the placenta during pregnancy is remaining limited. The use of new technologies and imaging methods in animals that can provide safe monitoring of the growth and function of the placenta in vivo requires preclinical studies and trials in appropriately developed animal models that can be easily translated into a clinical setting. All this, of course, requires the use of test animals for modelling placental pathologies. The review considers the positive and negative aspects of various animals and methods of modelling the pathological conditions during pregnancy. In the experiment, models of fetoplacental insufficiency are very often used, arising from oxidative stress and activation of free radical oxidation. To simulate the experimental fetoplacental insufficiency caused by histotoxic hypoxia, the xenobiotic tetrachloromethane is used. Women of very young and mature reproductive age have a high risk of fetoplacental insufficiency. It is not known exactly how placental insufficiency in mothers will affect the sexual development of pubertal offspring. That is why we conducted a comprehensive experimental study on this issue at the base of V. Danilevsky Institute of Endocrine Pathology Problems, NAMS of Ukraine. To solve this problem, our institute has developed and proposed a new pharmaceutical composition that should not only contribute to the correction of placental insufficiency, but also has a certain prophylactic value for maintaining reproductive potential in adulthood. The study was carried out on Wistar rats of two age groups. We modelled experimental fetoplacental insufficiency and then corrected it with this pharmaceutical composition. Our study made it possible to establish that fetoplacental insufficiency has a different effect on the formation of the reproductive system in male and female rats in puberty. Prophylactic adding of the composition to the food for pregnant female rats with modelled placental insufficiency leads to the decrease in reproductive diseases of their offspring in puberty. Research on animal models provides important insight into the molecular and functional mechanisms underlying fetoplacental insufficiency and intrauterine growth retardation, as it enables to carry out studies, which are not possible in pregnant women.
The Price of
Anton Franki’s Book
Authors: Čupković Gordana
Published: January 2021

This work consists of a critique publication of the colophon
text in verse form, which was written in 18th century cursive Glagolitic script
at the end of a book (kvadirnica) of Invocations, compiled by the priest Anton
Franki from Omišalj, along with the remaining paratexts from the same book.
Special consideration is paid to the discourse characteristics, as determined
by the author’s claim to the right of remuneration for his scribal work.
Uloga JNA-a u velikosrpskom projektu. Poseban osvrt na područje Đakovačko-osječke nadbiskupije
Authors: Brekalo Miljenko , Lukić Anamarija , Jurčević Ivana
Published: January 2021

Velika Srbija kolokvijalan je naziv za nacionalistički i iredentistički projekt dijela srpske inteligencije koji je nastao početkom devetnaestoga stoljeća. Međutim velikosrpski projekt datira još od 1557. g., odnosno nakon ponovne uspostave Pećke patrijaršije. Tada je pravoslavni klir (svećenstvo) počeo promicati ideju po-novne uspostave Dušanovoga Carstva koje se prostiralo na području današnjih devet suverenih država.
Oživotvorenje velikosrpskoga projekta, odnosno homogenizacija velikosrpskih krugova ponovno je počela još za vrijeme Titova života, a dinamizirala se poslije njegove smrti otvaranjem srpskoga pitanja na Kosovu. Dinamiziranje procesa za primarni cilj nije imalo rješavanje kosovskoga pitanja, već ponovnu homogenizaciju i mobilizaciju srpskoga puka na području cijeloga SFRJ-a.
U cilju operacionalizacije velikosrpskoga projekta najznačajniji čimbenik bila je Jugoslavenska narodna armija (JNA), ona je trebala biti jamac. Stoga su početkom 80-ih godina prošloga stoljeća počeli sa sustavnom srbizacijom zapovjednoga kadra, gdje su Srbi i Crnogorci zauzeli dominantnu ulogu. JNA je 1990./91. g. bio najznačajniji čimbenik pri naoružavanju pobunjenih Srba.
Autori u ovome radu napravili su analizu vojnih efektiva JNA-a na ozemlju Đakovačko-osječke nadbiskupije koji su aktivno stavljeni u funkciju dezintegracije Republike Hrvatske. Naime takva analiza za to područje nije sustavno napravljena. Pri izradi kori-stili su se reduciranim pisanim izvorima i osobnim iskustvom u obrani suvereniteta i teritorijalnoga integriteta Republike Hrvatske na tome području.
Time and space meshes adaptivity for the resolution of a semi-linear heat equation
Authors: Chorfi Nejmeddine
Published: January 2021

The aim of this work is to highlight that the adaptivity of the time step when combined with the adaptivity of the spectral mesh is optimal for a semi-linear parabolic equation discretized by an implicit Euler scheme in time and spectral elements method in space. The numerical results confirm the optimality of the order of convergence. The later is similar to the order of the error indicators.
A Concept for Control and Program Based on the Semantic Space Model
Authors: Chen Xing , Prayongrat Maimai , Kiyoki Yasushi
Published: January 2021

The most important mechanism of the computer is that various functions are implemented based on programs stored in it. Programs are developed by program languages implementing functions of models. One of the efficient methods to construct a model is to construct it by semantic computation models. Using semantic computation models, we can construct a model in a semantic space. In this paper, we present a mechanism to execute models presented by the semantic spaces. We have presented a mechanism to implement combinational and sequential logic computations based on the semantic space model. The combinational and sequential logic computations are the basic functions in computer systems. However, we still need a control mechanism like that in computers. In this paper, we present a control mechanism based on the semantic space model and some of execution examples. The most important contribution of this paper is that we first present a concept for control and program based on the semantic space model. In order to demonstrate the efficiency of the proposed mechanism, we performed a demonstration experiment. In the experiment, an agent is constructed for unmanned ground vehicle control with the control mechanism. A video camera is used to determine the position of the vehicle and obstacles on the road. The control signals, including “turn left,” “turn right,” “go ahead” and “stop” outputted from the agent are used to demonstrate the efficiency of the mechanism.
Digital Intelligence Banking of Adaptive Digital Marketing with Life Needs Control
Authors: Konishi Ryosuke , Nakamura Fumito , Kiyoki Yasushi
Published: January 2021

While individuals benefit from the goods and services provided by companies that enrich their lives and that have adapted to a dynamic environment that is always changing, these companies pay a high communication cost to access opportunities to provide these goods and services and to seek a better understanding of individual customers’ changing needs. Although vast amounts of information can be obtained, databases and machine learning are playing an increasingly important role in extracting meaning from this information, turning it into meaningful information assets that consider circumstances and contexts, and individualizing the economy of information. I propose an implementation method for providing information to enrich the profiles of individual customers by consolidating different data, calculating the individual customers’ needs through the relationships between customers and products, evaluating the change in relationships between individual customers and products over time, and providing goods and services to suit different intervals of change to factors such as lifestyle and living environment. As there are different factors involved in estimating the incidence of needs, and different frequencies and rates at which they occur, based on the special characteristics of products, different data are required to estimate such needs. By profiling individuals over the long term, it is possible to build an information provision environment that is conducive to companies’ customer acquisition.
Current and Future Prevalence Estimates of Mild Cognitive Impairment, Dementia, and Its Subtypes in a Population-Based Sample of People 70 Years and Older in Norway: The HUNT Study
Authors: GjØra Linda , Strand BjØrn Heine , Bergh Sverre , Borza Tom , Brækhus Anne , Engedal Knut , Johannessen Aud , Kvello-Alme Marte , Krokstad Steinar , Livingston Gill , Matthews Fiona E. , Myrstad Christian , Skjellegrind Håvard , Thingstad Pernille , Aakhus Eivind , Aam Stina , Selbæk Geir
Published: January 2021

Background:

Having accurate, up-to-date information on the epidemiology of mild cognitive impairment (MCI) and dementia is imperative.

Objective:

To determine the prevalence of MCI and dementia in Norway using data from a large population-based study.

Methods:

All people 70 + years of age, n = 19,403, in the fourth wave of the Trøndelag Health Study (HUNT4) were invited to participate in the study HUNT4 70 + . Trained health personnel assessed participants using cognitive tests at a field station, at homes, or at their nursing home. Interviewers also completed a structured carer questionnaire in regard to participants suspected of having dementia. Clinical experts made diagnoses according to DSM-5 criteria. We calculated prevalence weighing the data to ensure population representativeness.

Results:

A total of 9,930 (51.2%) of the possible 19,403 people participated, and 9,663 of these had sufficient information for analysis. Standardized prevalence of dementia and MCI was 14.6% (95% confidence interval (CI) 13.9–15.4) and 35.3% (95% CI 34.3–36.4), respectively. Dementia was more prevalent in women and MCI more prevalent in men. The most prevalent dementia subtype was Alzheimer’s disease (57%). By adding data collected from a study of persons < 70 years in the same region, we estimate that there are 101,118 persons with dementia in Norway in 2020, and this is projected to increase to 236,789 and 380,134 in 2050 and 2100, respectively.

Conclusion:

We found a higher prevalence of dementia and MCI than most previous studies. The present prevalence and future projections are vital for preparing for future challenges to the healthcare system and the entire society.
Research on influence mechanism of running clothing fatigue based on BP neural network
Authors: Chen Weiran , Li Xiuhong , Chen Xiaoran , Xiong Yan
Published: January 2021

Dress fatigue can affect the efficiency of sports, especially for running, the dress fatigue has a greater impact on it. Moreover, at present, there are few studies on dress fatigue. Based on this, this study is based on BP neural network, and uses surface electromyography theory and muscle fatigue measurement method to perform fatigue measurement. The fatigue threshold analysis is mainly carried out by the experimental method, and the prediction model of the wearing fatigue threshold based on BP neural network is constructed based on the actual demand. Moreover, this paper verifies the reliability of threshold distribution by experimental analysis combined with model analysis. In addition, the study sets the organizational structure and clothing pressure as verification indicators to analyze the performance of the model. The research results show that the model constructed in this study can effectively analyze the mechanism of fatigue impact of running dress, and this paper can provide reference for the study of dress fatigue.
Health-diagnosis of electromechanical system with a principal-component bayesian neural network algorithm
Authors: Wen Bor-Jiunn , Lin Yung-Sheng , Tu Hsing-Min , Hsieh Cheng-Chang
Published: January 2021

This study proposes a cloud tele-measurement technique on an electromechanical system, and uses a neural network algorithm based on principal-component analysis (PCA) to quickly diagnose its performance. Three vibration, three temperature, electrical voltage, and current sensors were mounted on the electromechanical system, and the external braking device was used to provide different load-states to simulate the operating states of the motor under different conditions. Moreover, a single-chip multiprocessor was used through the sensor to instantly measure the various load-state simulations of the motor. The operating states of the electromechanical system were classified as normal, abnormal, and required-to-be-turned-off states using a principal-component Bayesian neural network algorithm (PBNNA), to enable their quick diagnosis. Furthermore, PBNNA successfully reduces the dimensionality of the multivariate dataset for rapid analysis of the electromechanical system’s performance. The accuracy rates of health-diagnosis based on the Bayesian neural network algorithm and PBNNA models were obtained as 97.7% and 98%, respectively. Finally, the single-chip multiprocessor based on PBNNA is used to automatically upload the measurement and analysis results of the electromechanical system to the cloud website server. The establishment of this model system can optimize prediction judgment and decision-making based on the damage situation to achieve the goals of intelligence and optimization of factory reconstruction.
Data mining analysis of the influences of electrocardiogram P-wave morphology parameters on atrial fibrillation
Authors: Ouyang Chen-Sen , Chen Yenming J. , Tsai Jinn-Tsong , Chang Yiu-Jen , Huang Tian-Hsiang , Hwang Kao-Shing , Ho Yuan-Chih , Ho Wen-Hsien
Published: January 2021

Atrial fibrillation (AF) is a type of paroxysmal cardiac disease that presents no obvious symptoms during onset, and even the electrocardiograms (ECG) results of patients with AF appear normal under a premorbid status, rendering AF difficult to detect and diagnose. However, it can result in deterioration and increased risk of stroke if not detected and treated early. This study used the ECG database provided by the Physionet website (https://physionet.org), filtered data, and employed parameter-extraction methods to identify parameters that signify ECG features. A total of 31 parameters were obtained, consisting of P-wave morphology parameters and heart rate variability parameters, and the data were further examined by implementing a decision tree, of which the topmost node indicated a significant causal relationship. The experiment results verified that the P-wave morphology parameters significantly affected the ECG results of patients with AF.
Technical and economic optimization of natural gas transmission network operation to balance node delivery flow rate and operation cost
Authors: Zhou Jun , Peng Jinghong , Liang Guangchuan , Chen Chuan , Zhou Xuan , Qin Yixiong
Published: January 2021

Natural gas transmission network is the major facility connecting the upstream gas sources and downstream consumers. In this paper, a multi-objective optimization model is built to find the optimum operation scheme of the natural gas transmission network. This model aims to balance two conflicting optimization objective named maximum a specified node delivery flow rate and minimum compressor station power consumption cost. The decision variables involve continuous and discrete variables, including node delivery flow rate, number of running compressors and their rotational speed. Besides, a series of equality and inequality constraints for nodes, pipelines and compressor stations are introduced to control the optimization results. Then, the developed optimization model is applied to a practical large tree-topology gas transmission network, which is 2,229 km in length with 7 compressor stations, 2 gas injection nodes and 20 gas delivery nodes. The ɛ-constraint method and GAMS/DICOPT solver are adopted to solve the bi-objective optimization model. The optimization result obtained is a set of Pareto optimal solutions. To verify the validity of the proposed method, the optimization results are compared with the actual operation scheme. Through the comparison of different Pareto optimal solutions, the variation law of objective functions and decision variables between different optimal solutions are clarified. Finally, sensitivity analyses are also performed to determine the influence of operating parameter changes on the optimization results.
Fuzzy portfolio selection with prospect consistency constraint based on possibility theory
Authors: Deng Xue , Chen Chuangjie
Published: January 2021

Considering that most studies have taken the investors’ preference for risk into account but ignored the investors’ preference for assets, in this paper, we combine the prospect theory and possibility theory to provide investors with a portfolio strategy that meets investors’ preference for assets. Firstly, a novel reference point is proposed to give investors a comprehensive impression of assets. Secondly, the prospect return rate of assets is quantified as trapezoidal fuzzy number, and its possibilistic mean value and variance are regarded as prospect return and risk and then used to define the fuzzy prospect value. This new definition is presented to denote the score of an asset in investors’ subjective cognition. And then, a prospect asset filtering frame is proposed to help investors select assets according to their preference. When assets are selected, another new definition called prospect consistency coefficient is proposed to measure the deviation of a portfolio strategy from investors’ preference. Some properties of the definition are presented by rigorous mathematical proof. Based on the definition and its properties, a possibilistic model is constructed, which can not only provide investors optimal strategies to make profit and reduce risk as much as possible, but also ensure that the deviation between the strategies and investors’ preference is tolerable. Finally, a numerical example is given to validate the proposed method, and the sensitivity analysis of parameters in prospect value function and prospect consistency constraint is conducted to help investors choose appropriate values according to their preferences. The results show that compared with the general M-V model, our model can not only better satisfy investors’ preference for assets, but also disperse risk effectively.
Strategy research of used cars in online sequential auction based on fuzzy theory
Authors: Zhou Ke , Ma Gang , Wang Yafei , Zheng Junjun , Wang Shilei , Tang Yunying
Published: January 2021

With the development of “Internet+”, online auction platforms of used cars have emerged a lot. As a typical representative of the continuous purchase environment, online sequential auction of used cars faces many uncertainties, including uncertain revenue and risk. To describe them, adopting fuzzy theory to create mean-variance model to estimate the revenue and risk is showed in this paper. Moreover, three types of sellers, aggressive, conservative and rational sellers are analyzed respectively, and strategy models are built, where the multi-criteria optimal function for the latter one is adapted Cobb-Douglas production function. Then, a genetic algorithm based on fuzzy simulation is proposed through integrating the fuzzy simulation and 0-1 genetic algorithm, which can solve the models validly. Lastly, the practical example from Guazi website shows the optimal strategies derived by models can meet sellers’ demands, especially goals of both higher revenue and lower risk for rational sellers, which proves practicability of the model and validity of algorithm.
Extended two-dimensional belief function based on divergence measurement
Authors: Fan Jianping , Wang Jing , Wu Meiqin
Published: January 2021

The two-dimensional belief function (TDBF = (mA, mB)) uses a pair of ordered basic probability distribution functions to describe and process uncertain information. Among them, mB includes support degree, non-support degree and reliability unmeasured degree of mA. So it is more abundant and reasonable than the traditional discount coefficient and expresses the evaluation value of experts. However, only considering that the expert’s assessment is single and one-sided, we also need to consider the influence between the belief function itself. The difference in belief function can measure the difference between two belief functions, based on which the supporting degree, non-supporting degree and unmeasured degree of reliability of the evidence are calculated. Based on the divergence measure of belief function, this paper proposes an extended two-dimensional belief function, which can solve some evidence conflict problems and is more objective and better solve a class of problems that TDBF cannot handle. Finally, numerical examples illustrate its effectiveness and rationality.
Gamma frequencies as a predictor for the accomplishment of a motor task guided through the action observation network
Authors: Toledo Felippe , Thaler Markus
Published: January 2021

BACKGROUND: Action observation describes a concept where the subsequent motor behavior of an individual can be modulated though observing an action. This occurs through the activation of neurons in the action observation network, acting on a variety of motor learning processes. This network has been proven highly useful in the rehabilitation of patients with acquired brain injury, placing “action observation” as one of the most effective techniques for motor recovery in physical neurorehabilitation. OBJECTIVE: The aim of this paper is to define an EEG marker for motor learning, guided through observation. METHODS: Healthy subjects (n = 41) participated voluntarily for this research. They were asked to repeat an unknown motor behavior, immediately after observing a video. During the observation, EEG raw signals where collected with a portable EEG and the results were later compared with success and fail on repeating the motor procedure. The comparison was then analyzed with the Mann-Whitney U test for non-parametrical data, with a confidence interval of 95%. RESULTS: A significant relation between motor performance and neural activity was found for Alpha (p = 0,0149) and Gamma (0,0005) oscillatory patterns. CONCLUSION: Gamma oscillations with frequencies between 41 and 49,75 Hz, seem to be an adequate EEG marker for motor performance guided through the action observation network. The technology used for this paper is easy to use, low-cost and presents valid measurements for the recommended oscillatory frequencies, implying a possible use on rehabilitation, by collecting data in real-time during therapeutic interventions and assessments.
Rehabilitation of a child with a complicated aneurysmal bone cyst
Authors: Asante Afua , Pastorius Daniel , Sukhov Renat
Published: January 2021

An aneurysmal bone cyst (ABC) is a benign lesion often found in long bones. Almost one third of ABCs are secondary to primary tumors. When found in the spine, ABCs can cause insidious back pain and, in rare cases, neurological deficits. This case will discuss an adolescent female who acquired a non-traumatic spinal cord injury (NTSCI) as a result of complications from an aneurysmal bone cyst. Treatment consisted of surgical removal of the cyst, laminectomy, corpectomy, and fusion of the thoracic spine. Following surgical intervention, the child spent several weeks in an acute inpatient pediatric rehabilitation facility. Goal oriented outpatient services facilitated further recovery and led to near complete resolution of symptoms associated with non-traumatic spinal cord injury. Contemporary and clinically oriented child and family interventions are essential in successful rehabilitation of children with NTSCI as a result of ABCs.
Nowcasting global trade in goods and services
Authors: Cantú-Bazaldúa Fernando
Published: January 2021

World economic aggregates are compiled infrequently and released after considerable lags. There are, however, many potentially relevant series released in a timely manner and at a higher frequency that could provide significant information about the evolution of global aggregates. The challenge is then to extract the relevant information from this multitude of indicators and combine it to track the real-time evolution of the target variables. We develop a methodology based on dynamic factor models adapted for variables with heterogeneous frequencies, ragged ends and missing data. We apply this methodology to nowcast global trade in goods in goods and services. In addition to monitoring these variables in real time, this method can also be used to obtain short-term forecasts based on the most up-to-date values of the underlying indicators.
Open data for official statistics: History, principles, and implementation
Authors: Badiee Shaida , Crowell Jamison , Noe Lorenz , Pittman Amelia , Rudow Caleb , Swanson Eric
Published: January 2021

For data that are collected and managed by national statistical offices to reach their full potential and benefit to society, they must be made available to the public as open data. In the simplest terms, open data are data that can be freely used, modified, and shared by anyone for any purpose. This paper reviews the development of standards for the production and dissemination of open data. It discusses the implementation of these standards in national statistical systems and reviews tool kits, readiness assessments, and maturity models that are available to guide national statistical offices in the adoption of open data. The demand for open data has created challenges for official statistics, but it has also raised the profile of the statistical office and points to a new and expanded role as data brokers and data stewards. The paper concludes with a discussion of how open data in official statistics can be used to improve governance.
Wavelet analysis for early identification of HRV changes in offspring with genetic predisposition to hypertension in Oman
Authors: Hossen A. , Khriji L. , Al Ghunaimi B. , Al Barwani S. , Jaju D.
Published: January 2021

BACKGROUND: Offspring with a genetic predisposition to hypertension may have higher blood pressure (BP) at rest compared with those without a genetic predisposition to hypertension. They are also expected to have a higher sympathetic component in the heart rate variability (HRV) which could be computed with signal processing algorithms. OBJECTIVE: The purpose of this study is to design a wavelet-based system to estimate the heart rate variability that can be used to detect early cardiovascular changes in offspring with a genetic predisposition to hypertension. Early detection will help in the treatment of those young people. In this work, the relation between the hypertension and the changes in HRV is investigated. METHODS: The frequency domain and time domain analysis of heart rate variability (HRV) are studied to understand their relationship to the autonomic nervous system in offspring with and without a genetic predisposition to hypertension in Oman at resting state. The wavelet-based soft-decision algorithm is used as the spectral analysis tool to obtain different features from the HRV signal and to select the best performing features for detection of hypertension. The main task is to classify between three categories of subjects: 36 subjects with both normotensive parents (ONT), 22 subjects with single hypertensive parent (OHT1), and 11 subjects with both hypertensive parents (OHT2). RESULTS: The summation of the power of bands B4 and B5 of the 32 bands HRV wavelet-based spectrum, which is equivalent to the frequency range (0.046875 Hz-0.078125 Hz), is used as a classification factor among OHT2, OHT1, and ONT groups. The efficiency of classification between ONT and OHT2 is 85.10%, and between OHT1 and OHT2 is 81.81%. The result of classifying between (ONT and OHT1 as one group) and OHT2 is 85.50%. CONCLUSIONS: The work proves that the wavelet-based spectral analysis technique is a successful tool for classifying the three groups of subjects (ONT, OHT1, and OHT2) with different susceptibility for development of hypertension.
Investigating the influence of Taekwondo body protectors size on shock absorption
Authors: Jeong Hee Seong , Lee Sae Yong , Noh Hyung Jun , O’Sullivan David Michael , Lee Young Rim
Published: January 2021

OBJECTIVE: This study aims to compare and analyze the difference of impact force attenuation according to size and impact location on a Taekwondo body protector. METHODS: Body protectors sized 1 to 5, were impact tested by equipment based on the specifications in the European standard manual (EN 13277-1, 3). The impactor release heights were set to match impact energies of 3 and 15 J. The impactor was made from a 2.5 kg cylindrically cut piece of aluminum. Each body protector was impacted 10 times at the two impact energies and two locations. The differences in performance for each body protector size were compared using a two-way analysis of variance with a significance level of p< 005. The effect sizes were investigated using a partial eta squared value (η2). RESULTS: The significant mean differences between the body protector size and impact area (p< 005) and the average impact time of impact strengths 3 and 15 J were 0.0017 and 0.0012 s, respectively In addition, when an impact strength of 15 J was applied, the maximum resulting impact force exceeded 2000 N for both locations on all sizes. Furthermore, at an impact strength of 3 J size 3 significantly reduced the impact force more than the other sizes; however, size 1 showed the greatest shock absorption at an impact of 15 J. CONCLUSION: The results of this study show that the shock absorption of body protectors does not increase according to size; i.e., a larger body protector does not reduce the impact load more effectively. To improve safety performance, we recommend a maximum impact force of 2000 N or less for all body protectors.
A non-invasive real-time monitoring system for cytotoxic brain edema in post ischemic stroke based on near-field coupling
Authors: Li Gen , Zhang Bo , Zhang Maoting , Liu Qi , Luo Jie , Liao Qi , Tan Mei , Bai Zelin , Xu Jia , Sun Jian , Chen Mingsheng
Published: January 2021

BACKGROUND: As a common secondary pathophysiological process in postischemic stroke (IS), cytotoxic brain edema (CBE) is an independent factor leading to poor prognosis of patients. Near-field coupling (NFC) technology has some advantages such as non-invasive, non-contact, and unimpeded penetration of the skull. In theory, it can reflect the difference between normal and edema tissues through the near-field coupling phase shift (NFCPS) in the electromagnetic wave transmission trait. METHODS: Combining NFC detection principle and computer programming, we established a high-performance real-time monitoring system with functions such as automatic setting of measurement parameters, data acquisition, real-time filtering and dynamic waveform display. To investigate the feasibility of this system to detect CBE, a saline simulation experiment and a 24-hour real-time monitoring experiment after middle cerebral artery occlusion (MCAO) in rats were carried out. RESULTS: The results of the saline simulation experiment showed that the change of NFCPS was proportional to the increase of the simulated edema solution, and the variation range of NFCPS was more than 9∘ after 5 ml injection. In the 24-hour monitoring after MCAO, the NFCPS of the experimental group showed an overall downward trend over time an average change of -17.7868 ± 1.6325∘ and the change rate gradually decreased. The 24-hour NFCPS in the control group fluctuates slightly around the initial value, which has no obvious upward or downward trend. CONCLUSION: The intragroup and intergroup difference statistical analysis shows that NFCPS can effectively distinguish different intracranial pathophysiological states after IS. This work provides sufficient evidence and a technical basis for using NFCPS to monitor CBE in the future.
Studies and surveys of parasitoids collected from oceanic islands
Authors: Marchiori Carlos Henrique
Published: January 2021

The Amazon is formed by different ecosystems such as dense upland forests, seasonal forests, igapó forests, flooded fields, floodplains, savannas, mountain refuges and pioneer formations. For the preparation of this study, which consists of building a bibliographic summary of the main groups of parasitoids of the Order Hymenoptera (Parasitica Hymenoptera) collected in the Amazon Biome, a bibliographic search was carried out that contained published works on the following aspects: Definition Caatinga, Characteristics Hymenoptera, Characteristics Parasitica Hymenoptera, Main Superfamilies, and Families and Studies carried out and Main genera or species, during the period from December 2019 to January 2020.

KEYWORDS: Insect, Hymenoptera, natural enemy, biocontrol, bibliographic summary
Parasitoids collected Amazon Biome
Authors: Marchiori Carlos Henrique
Published: January 2021

The Amazon is formed by different ecosystems such as dense upland forests, seasonal forests, igapó forests, flooded fields, floodplains, savannas, mountain refuges and pioneer formations. For the preparation of this study, which consists of building a bibliographic summary of the main groups of parasitoids of the Order Hymenoptera (Parasitica Hymenoptera) collected in the Amazon Biome, a bibliographic search was carried out that contained published works on the following aspects: Definition Caatinga, Characteristics Hymenoptera, Characteristics Parasitica Hymenoptera, Main Superfamilies, and Families and Studies carried out and Main genera or species, during the period from December 2019 to January 2020.

KEYWORDS: Insect, Hymenoptera, natural enemy, biocontrol, bibliographic summary
Perancangan Mesin Auto Spray untuk Cleaning Candle Filter
Authors: Abdulah Amri , Shieddieque Apang Djafar , Rajab Dede Ardi , Sukarman Sukarman , Anwar Choirul
Published: January 2021

Penelitian ini membahas perbaikan proses penyemprotan pada tahap pembersihan candle filter di PT XYZ, yaitu permasalahan proses penyemprotan manual  pada candle filter  yang tidak efisien. Berdasarkan permasalahan tersebut maka perlu dilakukan proses penyemprotan dengan mesin. Penelitian ini membahas tentang perancangan mesin penyemprot otomatis  candle filter untuk mengurangi waktu pengerjaan. Mesin ini dirancang untuk berbagai ukuran candle filter, dan mesin dapat membersihkan candle filter  dari luar dan dalam secara bersamaan. Hasil perancangan yaitu mesin auto spray memiliki  putaran untuk penggerak nosel yaitu 596,1 Rpm dan pemutar candle filter 480 Rpm. Kecepatan putaran dirancang dengan RPM yang dapat disesuaikan dan dikontrol oleh inverter pada panel. Mesin auto spray memiliki konstruksi yang tahan korosi dan kokoh dengan spesifikasi mesin sepanjang 3005 mm x lebar 515 mm x tinggi 1215 mm. Proses penyemprotan menghemat waktu yaitu mencapai 60% yang diperoleh dari perhitungan proses penyemprotan secara manual, dan menggunakan mesin otomatis masing-masing adalah 25 menit 10 menit. Dari segi kualitas, hasil penyemprotan menggunakan mesin juga lebih baik. Dari 40 sampel yang diuji dari setiap proses, nilai rata-rata partikel saat menggunakan mesin, dan secara manual masing-masing adalah 5,36 gram dan 23,6 gram.
Penerapan Teknik Equivalence Partitions pada Pengujian Aplikasi Seleksi Kenaikan Jabatan di PT Maju Makmur
Authors: Nasrullah Ahmad , Muslim Bukhari , Wijaya Christian Harta , Pirmantara Deni , Saifudin Aries
Published: January 2021

The accuracy of the output of the employee selection application for promotion is very important, because if something goes wrong it can harm the company. Employees who are selected and misplaced can cause lower performance of the employee concerned or other employees. To ensure that the resulting promotion application has met the requirements and is free from defects / errors, testing is necessary. In this study, it is proposed to do black box testing using the Equivalence Partition technique. Black Box testing is carried out based on the resulting input and output values regardless of the process or algorithm in the application. Meanwhile, the Equvalence Partition technique is done by dividing the input value domains into valid and invalid groups, then selecting and using one of the values from each of these groups. Testing the promotion selection application is carried out on 4 forms, namely the Add Criteria form, Edit Criteria, Add Alternatives, and Edit Alternatives. In this test, 8 test cases were made. The results of this test ensure the quality of the Promotion Promotion application is free from errors by finding an accidental error in the Promotion Promotion Selection application at PT Maju Makmur.
Rekayasa Perangkat Lunak Pemetaan Perguruan Tinggi Berbasis Web di Kota Tangerang Selatan
Authors: Nugroho Listiyo Arief , Ardiansyah Viky , Arief Muhammad Syaiful , Saifudin Aries
Published: January 2021

Prospective students have the desire to continue their education to universities with faculties and departments that match their interests and talents. Many prospective students do not know the information related to the location of the university or faculty and department available at a university. In general, prospective students find out this information through the university's website or just information from the public. In South Tangerang City, there are already many universities or colleges in the South Tangerang City area. With the disain of the University Mapping WebGIS software in South Tangerang City, it is hoped that the information on universities around South Tangerang City can be easily recieved by prospective students. This software was developed with the Waterfall model, which this development model can make it easier for software developers to observe on planning or analysis before starting the development process. The result of using the Waterfall method is the Mapping College application in South Tangerang City. This mapping application can later be used by prospective students to find information about the location of universities in South Tangerang City or information related to faculties and departments available at a university.
Pengembangan Sistem Informasi Perpustakaan Sekolah Berbasis Web
Authors: Granita Savira , Rohmaniyah Siti , Gautama Tio , Yulianti Yulianti
Published: January 2021

The school library is a means for teachers and students to find information. The school library provides books or reading materials that can support the learning process. The focus of this research is to develop the information system contained in the school library. Many school libraries still collect data in the conventional way, such as handwritten using a ledger or using excel. The development of this school library system will use the website as a means to process data. The data that has been created will be entered into the data storage using the MySQL application as the database. This research planning uses the SDLC method with the waterfall model. The waterfall model is used because it is considered more efficient in developing school libraries. There are two entities that can use this website, namely library officers and members. Library officers can use the web to process data on book procurement, book borrowing transactions and viewing library reports. Meanwhile, members can fill in the guest book every time they visit the school library and also do book searches. Thus, the school library information system can facilitate the data processing. Book lending and borrowing transactions will also be more efficient and errors in data processing can be reduced.
Sistem Informasi Rekrutmen Karyawan Baru pada PT Karya Putra Sapta Manunggal Berbasis Web
Authors: Fajarwati Lia , Hidayat Rachmat , Budiarti Yusnia
Published: January 2021

PT Karya Putra Sapta Manunggal is a company in the field of construction services based in Bekasi. In recruiting employees, PT Karya Putra Sapta Manunggal still uses conventional methods, namely that prospective employees usually send application files to the head office in Bekasi either by e-mail, post or by submitting applications directly to the Admin section. HRDs need to open e-mails and application files one by one which makes HRDs have to process applicants' data again, resulting in a high probability of errors. Therefore, it is necessary to create a new and effective system in order to facilitate the recruitment of employees using a system development methodology, namely the waterfall method. With the PHP programming language, codeigniter framework and mysql database, the employee recruitment website makes it easier for HRD to minimize time, costs and energy so that the recruitment process becomes more efficient. In addition, delivering clear and up-to-date information will improve the company's image.
Determinan Nilai Perusahaan Berdasarkan Kepemilikan dan Aspek Makro Ekonomi
Authors: Yusuf Yusuf
Published: January 2021

The study aims to examine the effect of foreign ownership, institutional ownership and SOE ownership as well as the effect of inflation, exchange rates and interest rates on the value of financial sector companies. The population in this study are financial sector companies listed on the Indonesia Stock Exchange (IDX) and have provided audited financial statements at the end of the year from 2010 to 2014. Data analysis is done descriptively by calculating the average value, mode, median and others. The data is then processed using panel data regression with Eviews version 7 software. The results showed the Structure of Foreign Ownership and Institutional Ownership Structure affect the value of the company. BUMN ownership has no effect on company value. Inflation, exchange rate and interest rates do not affect the value of the company in the financial sector, this can occur because of Indonesia's macroeconomic conditions during the study period in a stable condition, there is no shock or crisis
Analisis Tingkat Pemahaman Akuntansi Mahasiswa Berdasarkan Hasil Belajar Matematika Ekonomi
Authors: Adisty Faizah , Pertiwi Indah
Published: January 2021

This research aims to determine the correlation between mathematics economics courses and an introduction to accounting. The reason for choosing the title is because there are many economic principles that use mathematics. Accounting has a close relationship with mathematics. Many students who master mathematics are considered able to solve accounting cases well too. The concept of the dual aspect, which is the basic concept of accounting, is expressed as a mathematical equation, called an accounting equation. Accounting calculations such as the calculation of depreciation, determination of loan installments, determination of cash prices in the case of the purchase of a lease and installment system require the use of mathematical techniques. All of this requires mathematical knowledge where the mastery of basic mathematical concepts is important for accounting students to master well in the Introduction to Accounting course. The samples of this research are students enrolled in the 2018/2019 school year. The results of this research, calculation of the correlation coefficient (r) = 4. Based on statistical calculations, it can be concluded that the mathematics economics course has a positive effect on the introductory accounting courses to D3 Accounting students at the University of Pamulang.
PHOTODYNAMIC THERAPY AS AN ADJUNCT TO SCALING AND ROOT PLANING IN CHRONIC PERIODONTITIS PATIENTS: A SPLIT MOUTH CLINICO MICROBIOLOGICAL STUDY
Authors: Pragna Battu , Dahiya Varun , Shukla Pradeep , Malhotra Gaurav , Kataria Prerna , Dagar Mona
Published: January 2021

Photodynamic therapy (PDT), which involves the use of low power lasers with appropriate wavelength to kill cells or microorganisms previously treated with a photosensitizer drug.1 The aim of the present study was to  assess the efficacy of photodynamic (PDT) as an adjunct to non –surgical periodontal therapy (SRP) for the treatment of chronic periodontitis. Materials &Method: A split mouth design was used in A total of 20 patients (as per the criteria laid down for selection), 3quadrents were selected in each patient and divided in to three groups. Group A:  Received Photodynamic Therapy by means of 0.5% indocyanine green and irradiated by Laser after scaling and root planing. Group B:  Received scaling and root planing. Group C: Received laser therapy. The clinical readings and the microbial analysis were done at base line, 1 month and 3 months from the 1st visit. The pre and post-operative values of all parameters were subjected to statistical analysis. Conclusion: PDT+SRP group showed additional improvement than the SRP groups in all parameters were as the results were low in LASER alone group.
Specific Features of the Mechanism of Administrative and Legal provision for the Implementation of the State’s Law Enforcement Function in the Field of Taxation
Authors: Дмитренко С. О.
Published: January 2021

The essence of administrative and legal provision for the implementation of the state’s law enforcement function has been studied. The elements of the mechanism of administrative and legal provision for the implementation of the state’s law enforcement function in the field of taxation have been distinguished. It has been offered to include the institutional component (subjects of provision), normative component (system of administrative and legal norms establishing the principles and rules of the state’s law enforcement function in the field of taxation), principles of implementing the state’s law enforcement function in this area, forms and methods of implementation of the state’s law enforcement function and the resource component (personnel, information, material, technical provision, etc.) into the structure of this mechanism.

The author has defined the following key principles, which should be the basis for the activity of the subjects of the considered relations: legitimacy, presumption of legality of decisions of taxpayers in case of ambiguity of the interpretation of regulatory acts, inevitability of punishment for financial offenses, collegiality of the development of important decisions, efficiency, independence impartiality and absence of corruption.

The author has determined the peculiarities of ensuring the effective functioning of administrative and legal mechanism of the realization of the state’s law enforcement function in the conditions of creation of the specially authorized agency of financial investigations. It is especially important in the context of European integration to establish the Bureau of Financial Investigations in Ukraine – a single law enforcement agency, whose task will be to identify systemic offenses in the field of taxation, their elimination and prevention.

It has been concluded that the reform of the investigative agencies of financial violations will establish a partnership between taxpayers and monitoring authorities, as well as will increase the effectiveness of law enforcement agencies in combating financial crimes.