bluuebunny/crossref_metadata_2025 huggingface dataset:
Education on Research Master and Postgraduate Programs in the Context of the Development of the National Framework of Qualifications in the Field of “Science”
Authors: Fiofanova O.A.
Published: August 2020

The article analyzes the methodological principles of organizing
educational master’s and post-graduate programs for the preparation of teachers
and researchers taking into account the requirements of new professional
standards. The article analyzes the programs of training scientific and pedagogical
personnel for universities that implement scientific and personnel policies
in the 4: 0 University model (research / entrepreneurial university) in the
logic of the state Strategy for scientific and technological development, in the
logic of ensuring the development of global world-class research and educational
centers. The organizational principles of educational programs of the
new generation are described, implemented in the form of scientific and production
cooperation, integration of research, teaching and management activities
to accelerate the cycle of knowledge update and to create on the basis of
new knowledge as a result of research projects — entrepreneurial projects of
universities. The article analyzes the possibility of organizing a multi-disciplinary
research master’s and post-graduate programs. Organizational and
methodological principles for achieving competency-based results in the organization
of research master’s and postgraduate programs are characterized.
The article reveals how the formation of a new system of legal norms, social
relations and organizational mechanisms initiates the implementation of new
approaches to the development of scientific and scientific-pedagogical personnel
and the development of a new type of knowledge society culture.
Patterns of Regional Cerebral Blood Flow as a Function of Obesity in Adults
Authors: Amen Daniel G. , Wu Joseph , George Noble , Newberg Andrew
Published: August 2020

Background:

While obesity has been shown to be a risk factor for Alzheimer’s disease, the potential mechanisms underlying this risk may be clarified with better understanding of underlying physiology in obese persons.

Objective:

To identify patterns of cerebral perfusion abnormality in adults as a function of body mass index (BMI) defined weight categories, including overweight or obese status.

Methods:

A large psychiatric cohort of 35,442 brain scans across 17,721 adults (mean age 40.8±16.2 years, range 18–94 years) were imaged with SPECT during baseline and concentration scans, the latter done after each participant completed the Connors Continuous Performance Test II. ANOVA was done to identify patterns of perfusion abnormality in this cohort across BMI designations of underweight (BMI < 18.5), normal weight (BMI = 18.5 to 24.9), overweight (BMI 24.9 to 29.9), obesity (BMI≥30), and morbid obesity (BMI≥40). This analysis was done for 128 brain regions quantifying SPECT perfusion using the automated anatomical labeling (AAL) atlas.

Results:

Across adulthood, higher BMI correlated with decreased perfusion on both resting and concentration brain SPECT scans. These are seen in virtually all brain regions, including those influenced by AD pathology such as the hippocampus.

Conclusion:

Greater BMI is associated with cerebral perfusion decreases in both resting and concentration SPECT scans across adulthood.
A dynamic pricing model for location based systems by using spherical fuzzy AHP scoring
Authors: Oztaysi Basar , Onar Sezi Cevik , Kahraman Cengiz
Published: August 2020

Location-Based Systems enable novel business models that can locate a person and send an action or message to him/her. One of the most commonly adopted location-based business models is location-based advertisements. Companies can send customized messages to target customers by using location-based ads. The model is promising since the conversion rate of the customers is high. On the other side, since the customers can be targeted based on their locations and interests, the price of the advertisement should be modeled a dynamic pricing model. In this study, we propose a dynamic pricing model for location-based ads by using the Spherical Fuzzy AHP method.
Hydroponic system evaluation in urban farming via fuzzy EDAS and TODIM methods
Authors: Tolga A. Cagri , Basar Murat
Published: August 2020

Increasing population in the world drives people to find a different type of feeding regime. Even if there is an immense augmentation in crowd brilliant innovators are looking for new ways of farming more efficiently. Hydroponics is one of the novel paths that is a planting system without soil. The system reduces water usage by 95% and with the same rate provides efficiency in the crop, furthermore, sustainability is highly supplied. Traditional smart farming applied in the rural area strains immense transportation and brokership costs. In these days innovators make smart agriculture in vessel containers. Especially vertical and smart farming made in the suburban area of the cities offers new opportunities on vegetables’ abundance. In this paper, the efficiency of this offered system is examined with minimizing the investment cost data. The system itself and the investment area have abounded with myriad uncertainties. Fuzzy logic tackles with those vaguenesses and fuzzy Evaluation Based on Distance from Average Solution (EDAS) method supplies assistance in the decision-making process of system evaluation. In addition, TODIM (a risk sensitive iterative multi-criteria decision making method based on Prospect Theory) is employed to check the evaluation of those three alternatives and to monitor how risk perception affects decision processes. A micro-based application is performed and attractive results are achieved.
Prioritization of renewable energy sources using multi-experts Pythagorean fuzzy WASPAS
Authors: Ilbahar Esra , Cebi Selcuk , Kahraman Cengiz
Published: August 2020

Effective utilization of renewable energy sources is an essential component of countries’ sustainable development strategies. A thorough evaluation of renewable energy alternatives is required to assure maximum exploitation of resources. The evaluation of renewable energy sources is a complicated problem since many criteria, even some of them are conflicting, must be taken into account simultaneously. Pythagorean fuzzy sets are better able to reflect uncertainty and vagueness in an assessment process by providing a greater domain for decision makers to describe their opinions. Therefore, this study aims at prioritizing renewable energy alternatives by employing interval-valued Pythagorean fuzzy WASPAS method. The obtained results are compared to the results of intuitionistic type-2 fuzzy WASPAS, interval-valued intuitionistic fuzzy WASPAS and crisp WASPAS methods. Biomass is selected to be the best renewable energy alternative for Central Anatolia Region of Turkey.
Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer
Authors: Piltan Farzin , Prosvirin Alexander E. , Kim Jong-Myon
Published: August 2020

Robotic manipulators represent a class of nonlinear and multiple-degrees-of-freedom robots that have pronounced coupling effects and can be used in various applications. The challenge of understanding complexity in a system’s dynamic behavior, coupling effects, and sources of uncertainty presents substantial challenges regarding fault estimation, detection, identification, and tolerant-control (FEDIT) in a robot manipulator. Thus, a proposed active fault-tolerant control algorithm, based on an adaptive modern sliding mode observer, is represented. Due to the effect of the system’s complexities and uncertainties for fault estimation, detection, and identification (FEDI), a sliding mode observer (SMO) is proposed. To address the sliding mode observer drawbacks for FEDI such as high-frequency oscillation (chattering) and fault estimation accuracy, the modern (T-S fuzzy higher order) technique is represented. In addition, the adaptive technique is applied to the modern sliding mode observer (MSMO) to self-tune the coefficients of the fault estimation observer to increase the reliability and robustness of decision-making for diagnosis of the fault. Next, the residual delivered by the adaptive MSMO (AMSMO) is split into windows, and each window is characterized by a numerical parameter. Finally, the machine learning technique known as a decision tree adaptively derives the threshold values that are used for problems of fault detection and fault identification in this work. Due to control of the effective fault, a surface automated new sliding mode controller (SANSMC) is presented in this work. To address the challenge of chattering and unlimited uncertainties (faults), the AMSMO is applied to the sliding mode controller (SMC). In addition, the surface-automated technique is used to fine-tune the surface coefficient to reduce the chattering and faults in the robot manipulator. The results show that the machine learning-based automated robust hybrid observer significantly improves the robustness, reliability, and accuracy of FEDIT in unknown conditions.
Novel MCGDM with q-rung orthopair fuzzy soft sets and TOPSIS approach under q-Rung orthopair fuzzy soft topology
Authors: Hamid Muhammad Tahir , Riaz Muhammad , Afzal Deeba
Published: August 2020

In this article, we study some concepts related to q-rung orthopair fuzzy soft sets (q-ROFS sets), together with their algebraic structure. We present operations on q-ROFSSs and their specific properties and elaborate them with real-life examples and tabular representations to develop influx of linguistic variables based on q-rung orthopair fuzzy soft (q-ROFS) information. We present an application of q-ROFS sets to multi-criteria group decision-making (MCGDM) process related to the university choice, accompanied by algorithm and flowchart. We develop q-ROFS TOPSIS method and q-ROFS VIKOR method as extensions of TOPSIS (a technique for ordering preference through the ideal solution) and VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje), respectively. Finally, we tackle a problem of construction business utilizing q-ROFS TOPSIS and q-ROFS VIKOR methods.
P-lsGOF: A parallel learning-selection-based global optimization framework
Authors: Zuo Mingcheng , Dai Guangming
Published: August 2020

When optimizing complicated engineering design problems, the search spaces are usually extremely nonlinear, leading to the great difficulty of finding optima. To deal with this challenge, this paper introduces a parallel learning-selection-based global optimization framework (P-lsGOF), which can divide the global search space to numbers of sub-spaces along the variables learned from the principal component analysis. The core search algorithm, named memory-based adaptive differential evolution algorithm (MADE), is parallel implemented in all sub-spaces. MADE is an adaptive differential evolution algorithm with the selective memory supplement and shielding of successful control parameters. The efficiency of MADE on CEC2017 unconstrained problems and CEC2011 real-world problems is illustrated by comparing with recently published state-of-the-art variants of success-history based adaptative differential evolution algorithm with linear population size reduction (L-SHADE) The performance of P-lsGOF on CEC2011 problems shows that the optimized results by individually conducting MADE can be further improved.
A systematic approach for segmenting voiced/unvoiced signals using fuzzy-logic system and general fusion of neural network models for phonemes-based speech recognition
Authors: Nataraj Sathees Kumar , Paulraj M. P. , Bin Abdullah Ahmad Nazri , Bin Yaacob Sazali
Published: August 2020

In this paper, a speech-to-text translation model has been developed for Malaysian speakers based on 41 classes of Phonemes. A simple data acquisition algorithm has been used to develop a MATLAB graphical user interface (GUI) for recording the isolated word speech signals from 35 non-native Malaysian speakers. The collected database consists of 86 words with 41 classes of phoneme based on Affricatives, Diphthongs, Fricatives, Liquid, Nasals, Semivowels and Glides, Stop and Vowels. The speech samples are preprocessed to eliminate the undesirable artifacts and the fuzzy voice classifier has been employed to classify the samples into voiced sequence and unvoiced sequence. The voiced sequences are divided into frame segments and for each frame, the Linear Predictive co-efficients features are obtained from the voiced sequence. Then the feature sets are formed by deriving the LPC features from all the extracted voiced sequences, and used for classification. The isolated words chosen based on the phonemes are associated with the extracted features to establish classification system input-output mapping. The data are then normalized and randomized to rearrange the values into definite range. The Multilayer Neural Network (MLNN) model has been developed with four combinations of input and hidden activation functions. The neural network models are trained with 60%, 70% and 80% of the total data samples. The neural network architecture was aimed at creating a robust model with 60%, 70%, and 80% of the feature set with 25 trials. The trained network model is validated by simulating the network with the remaining 40%, 30%, and 20% of the set. The reliability of trained network models were compared by measuring true-positive, false-negative, and network classification accuracy. The LPC features show better discrimination and the MLNN neural network models trained using the LPC spectral band features gives better recognition.
Unsupervised learning of visual invariant features for person re-identification
Authors: Xia Daoxun , Guo Fang , Liu Haojie , Yu Sheng
Published: August 2020

The recent successful methods of person re-identification (person Re-ID) involving deep learning have mostly adopted supervised learning algorithms, which require large amounts of manually labelled data to achieve good performance. However, there are two important unresolved problems, dataset annotation is an expensive and time-consuming process, and the performance of recognition model is seriously affected by visual change. In this paper, we primarily study an unsupervised method for learning visual invariant features using networks with temporal coherence for person Re-ID; this method exploits unlabelled data to learn expressions from video. In addition, we propose an unsupervised learning integration framework for pedestrian detection and person Re-ID for practical applications in natural scenarios. In order to prove the performance of the unsupervised person re-identification algorithm based on visual invariance features, the experimental results were verified on the iLIDS-VID, PRID2011 and MARS datasets, and a better performance of 57.5% (R-1) and 73.9% (R-5) was achieved on the iLIDS-VID and MARS datasets, respectively. The efficiency of the algorithm was validated by using BING + R-CNN as the pedestrian detector, and the person Re-ID system achieved a computation speed of 0.09s per frame on the PRW dataset.
Evolution of health, disease and disability during capitalism
Authors: Mata Miranda Mónica , Vásquez Zapien Gustavo
Published: August 2020

Over time, the understanding of the health-disease process has evolved along with the various environments and conditions in which society has been immersed, with different forms of care, treatment and prevention. Similarly, the social and economic structure has led to inequalities in medical care, generating social subclasses regarding access to health care and physical and functional capacities. This writing briefly introduces the social subclasses in health-disease that have emerged from the socio-economic structure of capitalism.
新型基础测绘标准化研究
Authors: 庄 建明
Published: August 2020

新型基础测绘标准化研究，不仅能促进测绘领域标准的完整统一，而且能够确保基础测绘工程的顺利开展。随着我国社会经济的快速发展，国家和人民群众对基础测绘的服务功能需求越来越大，因此新型基础测绘要以适应服务需求为基础，运用新技术和新设备对基础测绘各方面的服务进行调整和改革。形成适应新需求和新技术、能更好地服务经济社会发展的新型基础测绘。本文旨在通过研究新型基础测绘标准化的现状以及建议，提高基础测绘的应用型，为后面新型基础测绘标准化建设提供参考。
数字化测绘技术在工程测量中的应用分析
Authors: 张 志诚
Published: August 2020

工程测量技术当前在建筑工程行业有着重要的影响，直接影响了工程的进度和质量，以往传统的工程测量已经难以满足快速发展的时代的要求，为此数字化测绘技术应运而生，本文对数字化测绘技术在工程测量中的应用进行分析，以期更好地推动数字化测绘技术的发展。
浅析建筑施工技术与施工管理
Authors: 郝 宏伟 , 经 一贺
Published: August 2020

近年来,人们对建筑工程质量越来越关注,其直接关系着人们的生命财产安全。因此,建筑企业要运用各种手段提高建筑工程质量。而建筑施工技术与施工管理作为保证建筑工程质量的基础,只有加强建筑施工技术与施工管理,才能有效的保证建筑施工质量以及人们的生命财产安全。本文首先分析了建筑施工技术与施工管理的重要性,然后对建筑施工技术要点进行了分析,并对施工管理中的问题进行了概述,同时提出了加强建筑施工技术与施工管理的措施。
2019年大兴安岭地区雷电气候特征分析及灾害防御
Authors: 严 肃 , 陈 亮 , 陆 明明 , 周 长明
Published: August 2020

雷电灾害是自然界中一种危害程度较大的灾害性天气事件,雷电以其强大的电流,炙热的高温及强烈的电磁辐射等物理效应使其在瞬间产生巨大的破坏作用。雷电致灾范围非常广,常常造成人员伤亡,通信以及计算机信息系统中断,林区春秋两季的干旱季节极易引发森林火灾,严重危害人民财产和人身安全。大兴安岭地区年平均雷电日数为29.7天,属雷电多发区,雷电造成的主要灾害为雷击火,每年大兴安岭地区都有雷击火引发无数场森林火灾,是国内雷击火发生次数最多最集中的区域[1]。其中引发雷击火发生的主要原因是长期干旱和干雷暴[2]。对大兴安岭地区雷电活动的规律和特点进行统计分析,可以为有效采取防雷减灾针对性措施提供科学依据。
A Dynamic Semi-Circular Bending Configuration for the Rheological Characterization of Asphalt Mixtures
Authors: Cauhape Casaux Marina , Angelone Silvia , Martinez Fernando
Published: August 2020

Many experimental procedures have been proposed for the determination of the rheological properties of asphalt mixtures. Among them, the indirect tensile test (ITT) has gained a lot of attention because of its relative simplicity and advantages. However, a biaxial state of stress is developed into the sample and then, the Poisson ratio must be estimated or measured for the calculations of the dynamic modulus. Looking for a testing configuration with the same simplicity and advantages, this paper proposes the Semi-Circular Bending (SCB) geometry with dynamic loading conditions in order to characterize the rheological properties (dynamic modulus and phase angle) of asphalt mixtures. Samples compacted in the laboratory or cored from in-service pavements can be used. A uniaxial state of stress is developed in the lower plane surface of the sample doing negligible the influence of the Poisson ratio on the dynamic modulus calculations. A specific experimental configuration was adopted and a 2D-FEM model has been used for the development of an equation for the calculation of the dynamic modulus. Two different asphalt mixtures were tested at diverse testing temperatures and loading frequencies. The obtained results have been analyzed and compared with those acquired with the more conventional testing configuration in uniaxial compression. An excellent agreement has been found for either the dynamic modulus or the phase angle with both sets of results. It could be concluded that the SCB configuration has been validated as a simple and promising methodology for the characterization of the viscoelastic response of asphalt mixtures.
Jarisch-Herxheimer reaction in a pregnant woman with gestational syphilis
Authors: Liborio-Neto Adail Orrith
Published: August 2020

The Jarisch-Herxheimer reaction is a feverish inflammatory reaction witch may occur after the treatment of patients for syphilis at all stages. Commonly begin between in the first 12 hours after treatment. In pregnant women the reaction may end up in prematurity and fetal death, especially when the fetus is infected. It’s necessary to be aware of all the patient’s complaints and take a look at to group them in a single medical diagnosis whenever possible. And it’s principal that obstetricians always have Jarisch-Herxheimer reaction as a medical diagnosis for febrile syndromes in pregnant women with syphilis.
O acaso e a conquista do México (1519-1521)
Authors: Farah Leonardo de Castro
Published: August 2020

O ano de 2019 fez 500 anos da Conquista do México. Esse evento até hoje é marcante para o povo mexicano. Existe um profundo ressentimento com o personagem: Hernán Cortéz (1485-1547). O sujeito responsável pela Queda do Império Asteca. Os espanhóis e a própria História trata-o como um conquistador. Já os derrotados, os mexicanos o tratam como um invasor, assassino, ladrão e mentiroso. Por esta razão, em sua concepção não permitiriam que nenhum nome de praça, rua, avenida, escola, que levasse o nome desse conquistador. Como um Cortéz conseguiu com apenas 508 homens, algumas armas de fogo e cavalos, derrubar um império de 25 milhões de habitantes e tendo milhares de soldados? Parece que o improvável (acaso) aconteceu. Basta-nos explicar como se deu este evento na História da Conquista, sendo aproveitado por Cortéz. Para explicar nossa tese contaremos com os textos dos vencedores: Cortez e Bernal Díaz del Castillo (1492-1584) e o texto de Bernardino de Sahagún (1499-1590). As ideias de Tzvetan Todorov e diversos artigos científicos e os documentários da Discovery Channel e History Channel, que abordam o tema.
PRAKTIK IHTIKAR DALAM TINJAUAN KRITIK ETIKA BISNIS SYARIAH
Authors: Hasan Salim
Published: August 2020

Praktik ihtikar merupakan penimbunan barang yang dapat menciptakan krisis peredaran barang dan memicu melonjaknya harga barang. Perilaku semacam ini menjadi perbuatan yang merugikan masyarakat dengan praktik yang lebih cenderung tidak adil dan manipulatif. Tulisan ini mengulas ihtikar ditinjau dari segi kritik etika bisnis syariah. Islam mengajarkan nilai-nilai luhur dalam berbisnis yang sangat etis. Dasar etika inilah yang mendorong para ulama mencurahkan perhatian pada ihtikar ini sebagai perbuatan yang dibatasi, bahkan dilarang. Untuk memberikan pemahaman yang saling bertalian, tulisan ini membahas dua subtema utama yaitu (1) Konsep Ihtikar dalam Islam, dan (2) Ihtikar: Tinjauan Kritik Etika Bisnis Syariah. Berdasarkan hasil pembahasan dapat disimpulkan bahwa praktik ihtikar secara praktis memiliki mudharat yang merugikan diri, merusak keseimbangan, dan merukian orang lain. Dengan demikian, ihtikar merupakan perbuatan yang tidak sejalan dengan etika bisnis syariah karena bertentangan dengan dengan prinsip kesatuan, prinsip keadilan (keseimbangan), prinsip kehendak bebas, prinsip tanggung jawab, dan prinsip kebenaran.
Mubhamat Al-Qur'an: Telaah Konsep dan Kaidah Mubham dalam Al-Qur'an
Authors: Hasan Salim
Published: August 2020

Al-Qur'an merupakan wahyu yang bersifat universal sebagai petunjuk umat manusia di muka bumi ini. Secara tekstual, setiap ayat Al-Qur'an saling menjelaskan satu dengan yang lainnya. Disinilah letak mubhamat dalam Al-Qur'an sebagai sesuatu yang tersembunyi yang harus dipahami. Penulisan ini difokuskan pada konsep mubham dalam Al-Qur'an dan bagaimana kaidah-kaidah mubham dalam Al-Qur'an. Pendekatan yang dipakai adalah kajian kepustakaan. Berdasarkan hasil kajian dapat disimpulkan bahwa; (1) mubham adalah suatu lafaz yang maknanya tidak jelas, sehingga untuk memahaminya diperlukan dalil lain. Sebab-sebab atas ketidakjelasan (mubham) dalam beberapa ayat Al-Qur'an. Di antaranya karena suatu ayat yang mubham telah dijelaskan pada ayat lainnya. Dan karena yang diharapkan sudah jelas karena popularitasnya, dan (2) Kaidah-kaidah mubham, yaitu; (a)  tidak diperlukan mencari hal-hal yang mubham yang telah diberitakan Allah swt., karena hanya Allah sendiri yang mengetahuinya. (b) Pada dasarnya bahwa apa saja yang lafaznya mubham dalam Al-Qur'an, maka tidak diperlukan berpanjang lebar untuk mengetahuinya. (c) Ilmu mengenai mubham tergantung kepada dalil naqli saja dan tidak ada peluang bagi masuknya unsur ra’yu (pendapat).
Dampak Sosial Media Bagi Pembinaan Anak dalam Keluarga
Authors: Raehana Syarifa , M. Zain Jufri
Published: August 2020

Tujuan Penelitian ini untuk mengetahui pengaruh sosial media terhadap perkembangan perilaku anak dan dampaknya bagi pembinaan anak dalam keluarga. Kajian ini menggunakan pendekatan kualitatif dengan metode studi kasus.Simpulan dari penelitian ini bahwa penggunaan sosial media memiliki dampak postif dan negatif bagi siswa. Dengan adanya media sosial dapat dijadikan sebagai alat untuk meningkatkan keharmonissan dalam lingkup rumah tangga. Media sosial dapat dijadikan saran untuk mempererat silaturahmi antar keluarga. Dibutuhkan kebijaksanaan ornag tua dalam mendidik anak agar anak menggunakan media sosial dengan cerdas, untuk dimanfaatkan dalam rangka meningkatkan potensi dirinya. Perlu ada keseimbangan antara pengguna media sosial dan menjaga keharmonisan keluarga.
From War to Financial Crisis – Analyzed with Critical Systems Theory
Authors: Harste Gorm
Published: August 2020

The present article analyzes the transformation of the long-term risks of protracted wars from the battlefield to the economic system. Major wars, supplied with strong capacities due to extended manpower resources, advanced logistic capabilities and permanency of campaign, expose their states to extremely costly engagements. This includes heavy long-term costs for war veterans. Accordingly, the center of gravity on the battlefield (Clausewitz) is transformed to the financial systems of taxes and credit systems. This is a classical historical lesson; but this story is indeed central to understanding the link between the Vietnam War, the Afghanistan War, the Iraq War, and the background for the financial crisis that began in 2008.
农村公路的建设、管理与养护探究
Authors: 郭 瑞
Published: August 2020

对于农村而言，公路的建设、管理与养护正是其经济发展的核心，只有将建设完毕的公路投入到农村的经济发展当中，才能加速农村的发展。文章通过对农村公路展开分析，并结合实际提出农村公路的建设、管理与养护方案，希望为关注农村公路的人群带来帮助。
建筑安装工程造价控制要点及措施
Authors: 李 富华
Published: August 2020

现代经济的高速发展对我国建筑安装工程提出了更高的要求，在开展具体工作时，有效落实工程造价控制是其极为重要的一项工作，相关人员需要对其进行深入分析，文章分别从工程量清单，造价管理体系，工程项目设计，现场变更控制，项目合同管理和竣工决算管理六个方面综合探究造价控制策略，希望能够进一步保障工程建设质量，使其具有更高的经济效益和社会效益。
浅析道路桥梁施工技术与管理研究
Authors: 戚 翠华
Published: August 2020

近年来，在多方面利好因素的影响下，使得我国综合国力得到了良好的发展，从而为我国城市化建设工作带来了良好的助力。道路桥梁工程属于基础设施工程，在推动社会经济发展方面具有十分重要的影响作用。道路桥梁工程施工量十分巨大，具有一定的复杂性，并且一个道理桥梁工程通常需要多个施工单位的共同参与，这样就极易在施工过程中遇到各类施工问题，诸如：施工材料质量不达标，施工技术技术水平较差的问题，一旦遇到上述问题，那么不但会损害到工程的施工质量，并且也会威胁到民众的人身安全。所以我们需要综合各方面实际情况切实的引用最先进的施工技术和施工方法，对道路桥梁工程质量加以保证。
特殊情况下基坑降水方法探讨
Authors: 李 占民
Published: August 2020

近年来，随着经济高速的发展，高层、超高层建筑如雨后春笋般拔地而起，建筑高度不断攀升，随之而来的是其基础埋置深度也不断加深，从而出现了大量的深基坑工程。那么深基坑降水工程就越加凸显其重要性。深基坑降水工作是建筑工程施工中的一项重要准备工作，要求在施工前必须对施工场地的工程地质和水文地质情况进行详细的调查，必须要结合现场实际情况正确进行降水方案设计、选择合理的降水方法与设备,降水井施工时严格按照方案要求进行保证施工质量,尤其是深基坑施工中经常遇到的电梯基坑、集水坑、下挖柱墩等构造的降水，否则就会造成降水效率低从而达不到预定的降水要求,进而影响后续土方工程施工、造成工期拖延，甚至会对邻近及拟建建筑物造成安全隐患。
建筑工程施工技术及其现场施工管理措施分析
Authors: 刘 贤贤
Published: August 2020

近年来，我国加大了改革开放的力度，从而推动了我国社会经济的飞速发展，从而为建筑工程行业的发展壮大带来了良好的机遇。建筑工程施工技术水平与整个建筑工程结构质量存在密切的关联，所以我们需要充分结合各方面实际情况来挑选恰当的施工技术，并且在施工中辅以施工管理工作，这样才能确保工程施工质量和效率。施工技术的整体水平往往能够从某种层面上反映出建筑工程能的整体情况，如果任何一个环节出现失误，那么必然会对建筑工程施工工作的有序开展形成一定的限制。工程施工工作涉及到诸多工程量，所以具有较强的复杂性，并且人力和物力资源都是管理工作的重点，如果不能对各项管理工作进行合理的规划那么就会对工作效率的提升造成阻碍，甚至会引发严重的经济损失。
氯化法提纯金粉工艺的探究
Authors: 朱 延胜 , 赵 举峰
Published: August 2020

氯化浸出法在金银冶炼黄金精炼过程中得到了广泛应用，但在实际应用中会受到多种因素的影响导致成品金粉质量下降。因此，针对氯化法浸金工艺影响因素展开分析，结合具体试验得到最优工艺条件，让金质量分数大于99.99%，切实提高氯化法提纯金粉工艺实际效果。
浅析高速齿式分度盘在水车式阀门专机上的应用
Authors: 胡 伟
Published: August 2020

进入21世纪以来社会飞速发展，竞争日益激烈，人民生活节奏越来越快。国民经济的发展与机械制造业的持续进步及高速发展密不可分。机械制造业早已成为各行各业发展的基础，而机械制造业的发展离不开先进的机械设备。文章重点分析了高速齿式分度盘在机械设备水车式阀门专机上的具体应用及主要技术特点。
管理会计在施工项目管理中的应用研究
Authors: 黄 丽荣
Published: August 2020

截至2018年底，全国共有建筑业企业95400个，比上年增加7341个，增速为8.34%，比上年增加了2.26个百分点，增速连续三年增加，施工企业竞争形势越来越激烈，施工项目财务管理在施工企业项目管理中的重要性也越来越突出，大部分特级建筑施工企业纷纷建立财务共享服务中心规范财务核算及实现大数据信息化管理，逐渐将施工项目财务管理中的财务会计职能弱化，而另一职能管理会计逐渐凸显出来，实现管理会计在施工项目管理中的应用，成为施工项目财务管理的重中之重，与施工企业的生存和发展息息相关，也是施工企业实现可持续发展的关键。
新经济时代企业人力资源管理创新问题探究
Authors: 陈 眈
Published: August 2020

在我国经济迅速发展的同时，市场经济体制也在不断的改革与完善，这也间接的为我国企业发展带来了新的机遇与挑战。但新经济时代背景下，企业如果无法抓住发展机遇，就很可能被市场淘汰，在人才竞争和人才培养的过程中，多数企业已经考虑从人力资源管理创新中寻求突破。只有强化企业人力资源管理工作,对人力资源管理工作进行创新和发展，才能切实满足企业对人才的需求，才能确保企业在竞争中稳定发展。
试析基层档案管理员如何做好文书档案管理工作
Authors: 曹 继玲
Published: August 2020

市场经济的不断发展，使得当前的文书档案管理工作面临着挑战。基层的文书档案管理工作逐渐被计算机管理所替代，文书档案管理面临着严峻的挑战。当前，基层档案管理人员应该对文书档案进行规范，有效提高档案管理员的素质。文章针对新形势下，基层档案管理工作中所面临的问题，提出了相应的解决对策。
Perspektif Pengalaman Konsumen Terhadap Kesuksesan Event Lari Borobudur Marathon 2019
Authors: Larassary Amelia
Published: August 2020

Meningkatnya animo masyarakat dalam berpartisipasi event lari di Indonesia menunjukan nilai positif dalam bidang manajemen pemasaran olahraga. Tetapi peningkatan partisipan tersebut tidak dibarengi dengan kualitas event yang baik. Tujuan penelitian ini adalah mengonfirmasikan faktor–faktor yang mempengaruhi kesuksesan event Borobudur Marathon 2019. Penelitian kuantitatif analisis faktor konfirmatori melibatkan 60 responden berdasarkan teknik probability sampling, pengambilan data dengan menyebarkan kuesioner online. Variabel yang diteliti ialah pengalaman konsumen, kepuasan konsumen dan interaksi sosial. Untuk menguji validitas angket dan realibitas indikator angket digunakan SPSS 24 dan SPSS Amos untuk melihat model fit (Chi-square= 106,198, x2=0,27, GFI= 0,793, CMIN/DF= 2,82, CFI= 0,862, TLI= 0,821) berdasarkan Structural Equation Model (SEM). Hasil penelitian menunjukkan faktor pengalaman konsumen sebesar 70,957% yang dominan mempengaruhi kesusesan event Borobudur Marathon 2019. Faktor kepuasan konsumen memiliki pengaruh  sebesar 17,93%  dan interaksi sosial memliliki pengaruh sebesar 11,1%. Kesimpulan semua variabel saling berhubungan dan faktor pengalaman konsumen paling dominan dalam mempengaruhi kesuksesan event Borobudur Marathon 2019. Disarakan agar setiap event membuat strategi yang menjual nilai yang khas dari event tersebut, sehingga berdampak positif terhadap kesuksesan event tersebut dan perbaikan  manajerial sport event organize dalam mempromosikan potensi olahraga pariwisata.
Stochastic Inventory Model with Reworks
Authors: Islam Mohammad Ekramol , Uddin M Sharif , Mohammad Ataullah - , Ray Ganesh Chandra
Published: August 2020

In most of the inventory models, a single stock is considered from where items are served for the customers. In this paper, two stocks are considered. One is for fresh items and another is for returned items. The model is more appropriate where warranties are provided for a fixed time duration. Moreover, inventory which are kept to the stock may not have finite shelf-life is also considered here such as milk, meat, vegetables, radioactive materials, volatile liquids. In this current model, we considered the inventory is decayed in a constant rate θ. It is assumed that inventory level for both the fresh and returned items are pre-determined. When inventory level reaches at s, a replenishment takes place with parameter ϒ The demands that arrive for fresh items and returned items follow Poisson process with parameter λ & δ respectively. Service will be provided with Poisson process for returned items with parameter μ. The joint probability distribution for inventory level of returned items and for fresh items is obtained in the steady state analysis. Some systems characteristics of the model are derived and the results are illustrated with the help of numerical examples.

The Chittagong Univ. J. Sci. 40(1) : 59-74, 2018
GDP Dynamics as a Superposition of N. D. Kondratieff Technological Waves
Authors: Andrukovich Petr F.
Published: August 2020

A review of publications on the theory of long waves by Kondratieff–Schumpeter has shown that one of the imperfect elements of this theory in the case of modeling on their basis of GDP dynamics is the correlation of the dynamics of these waves with the dynamics of the observed values of GDP. The point is that the mathematical models currently used to describe periodic fluctuations in economic activity under this theory have a horizontal trend, and when moving to describe the growing (or declining) dynamics of GDP, it is necessary to include an exogenous trend that is not related to this theory in any way. This situation violates its integrity and often serves as one of the arguments against the adequacy of this theory to real economic processes. This article proposes a model of GDP dynamics based on the superposition of long Kondratieff waves and does not require the inclusion of exogenous trend. In this model, in addition to the generally accepted parameters of long waves, namely, the beginning and length of the wave period, two new parameters arise: the magnitude of its amplitude and the rate of change of this amplitude. These parameters allow you to configure the GDP model to describe the dynamics of the GDP of different countries, taking into account their real differences in the size of GDP. The problems of verification of the parameters of the proposed model arising in connection with the multi-extremality of the function describing this model are considered. Verification of the parameters of this model on specific data is carried out on the values of US GDP for the period from 1790 to 2018. The results of testing the model showed that the superposition of long Kondratieff–Schumpeter waves well describe the dynamics of US GDP over the entire period, and the model parameters are quite consistent with their generally recognized values.
Job Description of Public Health Officials in Nepal
Authors: Subedi Sudarshan , MacDougall Colin
Published: August 2020

Background: Job description of public health officials in Nepal has been prepared for assigning the definite role, responsibilities and authorities to exercise in different positions and circumstances. The purpose of this study was to analyse the job description of public health officials emphasizing the perspective of leadership and management.Methods: Document analysis method was used following the sequential process of skimming, reading and interpretation, and the themes were extracted by content analysis.Results: Job description of public health officials is mostly process and/or function oriented. Most of the officials are responsible for managing program and people rather than leading. Staff inspiration, motivation and encouragement, being one of the most important aspects of leadership, has been ignored in job description. District level officials are specifically assigned to manage programs and staff. As the position increases, the extent of practicing leadership increases and management decreases. Public health administrators have more leadership role as compared to public health officers; however, the proportion of management outweighs the leadership. Regional Directors have more leadership roles than other officials do. Conclusions: Role of public health officials vary from being a manager to a leader. Junior officials are predominantly the managers, mid-level officials are leadership-oriented managers, and top-level officials are leaders having managerial roles . In revising the job description (e.g., for the federal context), emphasis should be given to remove job duplication and role conflict, and should ensure role clarity, functions’ precision and output. Keywords: Document analysis; job description; leadership; Nepal; public health.
Predictors of Treatment Regimen Compliance and Glycemic Control among Diabetic Patients Attending in a Tertiary Level Hospital
Authors: Shrestha Krishna Devi , KC Takma , Ghimire Rachana
Published: August 2020

Background: Treatment regimen compliance is a common problem in individuals with diabetes, making glycemic control difficult to attain. Hence, this study was conducted to identify the predictors of treatment regimen compliance and glycemic control among diabetic patients.Methods: A descriptive Cross sectional research design was carried out in Tribhuvan University Teaching Hospital. Data was collected through purposive sampling technique among 422 respondents attending in medical OPD using structured questionnaire through interview method. Analysis was done by descriptive and inferential statistics.Results: The study findings revealed that 20.9 % respondents had good, 53.6% had fair and 25.5% respondents had poor treatment compliance and 60% respondents had good glycemic control. Treatment regimen compliance tends to be significantly associated with sex, education, occupation, attending diabetic counseling, duration of diabetes mellitus, frequency of follow up visit and knowledge level (p value <0.05). The major predictors of treatment regimen compliance were attending in diabetic counseling [Adjusted odds ratio (AOR)= 4.972, 95% CI 2.435-10.151] and level of knowledge (AOR=2.351 95% CI 1.897- 6.161) where as duration of diabetes (AOR=0.954 95% CI 0.559-1.628) was the predictor of glycemic control among diabetic patient.Conclusions: Diabetic patients attending in diabetic counseling, with adequate knowledge have good compliance and longer duration of disease decreases the glycemic control.Keywords: Compliance; diabetic patient; glycemic control; predictors; treatment regimen.
Puukaasulla köröteltiin
Authors: Kauppinen Veijo
Published: August 2020

Katsaus puukaasutekniikkaan perustuvien ajoneuvojen historiasta Suomessa.
Penerapan Model Pembelajaran Project Based Learning dalam Meningkatkan Hasil Belajar Matakuliah Sastra Bandingan Program Studi Pendidikan Bahasa Indonesia FKIP Universitas Bengkulu
Authors: Hiasa Fina , Supadi Supadi
Published: August 2020

This study aims to determine how the application of the Project Based Learning (PBL) learning model in improving learning outcomes for Comparative Literature Courses. Through the PBL learning model, students are assigned to work on pocket book project assignments. The subjects of this study were fifth semester students of the Indonesian Language Education Study Program Class A FKIP Bengkulu University who were taking Comparative Literature Courses. The research method uses classroom action research methods. Data collection techniques were carried out through oral tests and questionnaires conducted in the first and second cycles. In the second cycle the expected learning outcomes were achieved. Learning outcomes in the second cycle showed that out of 37 students there were 12 students (32%) who got an A. While the rest were students with a B grade of 20 students (54%). C grades are 5 students (14%) and D grades are 0 students (0%). These results indicate that an indicator of the successful application of the PBL model by 30% has been achieved even exceeding the 32% achievement target. In general it can be concluded that the application of PBL for Comparative Literature Courses in the University of Bengkulu University of Indonesia Language Study Program semester V of class a students of school year 2019/2020 2019/2020 can improve learning outcomes in understanding the concept of comparative literature.
Peningkatan Kemampuan Menulis Teks Persuasi dengan Menggunakan Teknik Pemodelan Siswa Kelas VIII SMPN L Sidoharjo Kabupaten Musi Rawas
Authors: Arida Elpi , Susetyo Susetyo , Yulistio Didi
Published: August 2020

The purpose of this study was to describe (1) increasing the ability to write persuasion text with the modeling techniques of eighth grade students of SMPN L. Sidoharjo, Musi Rawas Regency and (2) Increasing student learning activities in writing persuasive text with modeling techniques for VIII students of SMPN L. Sidoharjo, Musi Regency Rawas. This study uses a Classroom Action Research (CAR) procedures. This research was conducted in two cycles. Each cycle is designed and carried out by steps (1) planning, (2) action, (3) observation, and (4) reflection. The source of the data of this study was the eighth grade students of SMP N L. Sidoharjo in the 2018/2019 academic year, while the research data were in the form of persuasion texts written by students. Then the data is analyzed using the average formula and the results are consulted in the qualification table. The results showed that the ability to write persuasion texts students experienced an average increase in cycle 1 of 67.98 which included in the category of enough, increased to 77, 76 in the second cycle included in the good category. The increase was also followed by an increase in student activity in learning to write persuasion texts which included activeness and direct involvement in observing, answering questions and writing persuasion texts from moderately active to active.
On the Environmental Design Illumination Teacher’s Attitude
Authors: Zaeva-Burdonskaya Elena A. , Nazarov Yuri V.
Published: August 2020

As a special professional discipline the design of lighting is a part of learning program of the department of Environmental Design in Moscow State Stroganov Academy of Design and Applied Arts. The training of designers working with light and lighting equipment requires the special methodize, and the elaboration of such methodize becomes more and more urgent in modern school. We see solution in the combination of traditional art studies and environmental design with modern digital design technologies. All the factors of the lighting content of our environment such as lighting technique and technologies are considered during the learning process. Those branches of professional training are closely connected with the whole design culture and that gives us an opportunity to use a multidisciplinary approach.
The study in the lighting design takes one term. That’s enough for the concept of the fragment of urban environment including the elements of the lighting content. The basics of art and the skills of creative thinking also help to achieve a high level of final design and to develop aesthetic skills of students.
The new horizons of the lighting design are opened with the new profile of education on our department: a Multimedia Design providing an extensive digital ground for design process. All these means can help us to create a unique ground for the design education, for the contacts between students and possible customers, and also to attract some new, talented tutors.
Pecularities of Protection and Legal Regime of Official Works in the Field of Lighting Design
Authors: Rahmatulina Rimma Sh. , Sviridova Ekaterina A. , Voskovskaya Angela S.
Published: August 2020

The legal regime of official works has a complex dichotomous construction. The issues connected with the creation of an official work are subject to the labour law, while the issues of official work usage are governed by copyright. The protection issues of lighting design works have their own characteristics due to technical, artistic creativity and use of special technologies. These objects are subject to copying, and because of this fact a lot of legal issues in the field of not only copyright, but contract law arise.
The authors of the article aim to determine the signs of creativity for the recognition of a lighting design work as an object of copyright; to develop the criteria for assessing the identity of a design work, created under a contract, and the result of creative activity, the rights to which are transferred to the customer; to identify subjects of copyright for lighting design works. The article uses special legal methods (comparative legal method, formal­legal method and system analysis of legal phenomena method).
On the assumption of Article 1295 provisions of the Civil Code of the Russian Federation, it can be concluded that it is possible to conclude an agreement on granting the employer the exclusive right to official lighting works, which were not yet created at the time of concluding such an agreement. The absence of a direct prohibition on the transfer or alienation of the exclusive right in respect of a future work may lead to the probability of recognizing such a contract as not concluded due to the inconsistency of its subject matter. In foreign jurisdictions, there is a ban on inclusion in the agreement of the condition on the result of intellectual activity not yet created (future works). At the same time, in advance to accurately identify the official work, which is to be created by the employee during his labour activity, should not deprive of legal force the contract on the use of official works by the employer. The article proves that the lack of definiteness of the subject, provided that such a subject can be classified as definable, does not entail recognition of this contract as not concluded, and its subject matter is not harmonized.
The Experience of China’s LED Lighting Industry’s Development
Authors: LIU Jingyi , YIN Zongyi
Published: August 2020

As a big country with the production and sale of lighting products in the world, LED lighting products are widely used in China, and the LED lighting industry is playing an important role in the whole national economy. To analyze the characteristics and experience of the development of China’s LED lighting industry, the development history of China’s LED lighting industry was reviewed, the characteristics of the development of China’s LED lighting industry were summarized, and the development prospect of China’s LED lighting industry was forecasted. Results show that the development of LED lighting industry in China is divided into three stages, which show the characteristics of industrial policy support, core technology leap breakthrough and industrial agglomeration effect. The conclusion has guidance and reference for the development of LED lighting industry in developing countries.
Solar Photovoltaic Power Generation Wireless Monitoring System Based on IOT Technology
Authors: SUN Erhua
Published: August 2020

In order to further improve the real­time detection of power generation, a wireless monitoring model of solar photovoltaic power generation based on Internet of things (IoT) technology is proposed. Firstly, the application of remote monitoring in power generation technology is introduced, and the monitoring model of solar power equipment is constructed by wireless network, and the corresponding feedback mechanism is established by means of the (IoT) algorithm. Finally, the data processing ability and analysis effect of the wireless monitoring model are tested and studied. The test results show that the monitoring model can record and optimize the solar power generation data in real time, which greatly reduces the failure rate in power generation. It is proved that the monitoring model used in this paper has good feedback effect.
Intelligent Lighting System of Urban Road Based on Internet of Things
Authors: HAO Lulu , GAO Jing
Published: August 2020

Aiming to solve the problems of energy waste, management confusion and poor flexibility in urban road lighting control system, an intelligent lighting system of urban road was designed based on the internet of things technology. The intelligent lighting system included hardware system composed of street lamp control terminal, main controller, software platform server, and software system composed of communication interface software, data processing software and operation management software. The lighting energy­saving control strategy and system characteristics were analyzed. The results show that the intelligent lighting system of urban road can realize the functions of remote street lamp switch, power regulation and timing operation, so as to meet the realistic demand of urban road intellectualized lighting control.
COVID-19: update in innovazione, ricerca e sviluppo
Authors: Burrai Francesco , Apuzzo Luigi , Micheluzzi Valentina
Published: August 2020

Following the pandemic state, produced by the infection with the new coronavirus SARS-CoV-2, and the consequent state of health emergency, it is considered scientifically important to propose an update on ongoing clinical pharmacological trials, the most advanced international projects in the innovation sector and the most important statistical mathematical approaches to use a model for predictive purposes. In Italy there are several experimental molecules subjected to rigorous RCT studies approved by AIFA. In the Research & Development sector, the CERN in Geneve with the “CERN against COVID-19 project” represents the most advanced innovation, while in predictive statistical techniques, the mathematical model with wavelet approach allows to predict variables such as the persistence of the virus or to calculate the probability of transmission, strategic information for health planning.
Fotografie
Authors: Dorigo Valentina
Published: August 2020

(narrative nephrology)