bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on construction method and deformation control technology of high ground stress interbedded soft rock tunnel
Authors: Fang Zhichun , Zhu Zhengguo , Chen Xinyu
Published: November 2020

The construction of tunnels is often long and deep buried tunnels, and the geological conditions are more complex. Based on Jianshan tunnel in Gansu Province, the special geological conditions such as high ground stress and weak interbedded surrounding rock make the excavation of tunnel easy to produce large deformation. In this article, the software finite difference software FLAC3D was used to establish numerical models and select the best construction method by comparing the deformation of the tunnel under different construction methods. Aiming at the deformation characteristics of soft rock tunnels in highland interbedded layers, the control measures of tunnel deformation are discussed. Mainly consider the two aspects of the bolt support plan and the second lining construction time, comprehensively compare the deformation characteristics of the tunnel, and select the best working condition. The research results show that the combination of three-step temporary invert method and three-step ultra short bench method is recommended for the tunnel construction; when the bench length is 4 m, the deformation control effect of the tunnel is the best; by improving the length and angle of the anchor rod, the deformation of the tunnel can also be well controlled.
Big data outlier detection model based on improved density peak algorithm
Authors: Shao Mengliang , Qi Deyu , Xue Huili
Published: November 2020

Outlier detection is an important branch of data mining. This paper proposes an advanced fast density peak outlier detection algorithm based on the characteristics of big data. The algorithm is an outlier detection method based on the improved density peak clustering algorithm. This paper improves the original algorithm. From the perspective of outlier detection, although it is a clustering idea, it avoids the clustering process, reduces the time complexity of the cluster-based outlier detection algorithm, and absorbs. The outlier detection based on neighbors is not sensitive to data dimensions and other advantages. In the power industry, outlier detection can be used in areas such as grid fault detection, equipment fault detection, and power abnormality detection. The simulation experiment of outlier detection based on the daily load curve of single and multiple transformers in a certain province shows that the improved algorithm can effectively detect outliers in the data.
A highlight effects generation model for translucent materials perception based on directional subsurface scattering
Authors: Yu Hui , Hu Lingyan
Published: November 2020

Usually the highlights can be calculated with the specular term of the bidirectional reflectance distribution functions developed for glossy or matte materials. However, as for the translucent materials, complex appearance could be caused by the scattering of light inside the medium. An efficient highlight generation model is presented to simulate the highlight effects on smooth or rough surfaces or around the boundaries of objects made from translucent materials. The presented model is derived from the directional dipole model approximation of the diffusive part of the bidirectional scattering surface reflectance distribution function. Unlike the previous specular reflection models, the presented model builds a relationship between the highlights and the scattered lights inside the medium by considering the refracted ray of the incident point and the ray toward the emergent point, which could represent the variation in fluence due to the internal scattering at the surface. By integrating a rendering process with the directional dipole model, the resulting highlight effects term could be represented in a similar way by the specular term of a bidirectional reflectance distribution function model. The number and the strength of the generated highlight pixels were compared among typical highlight generation models. It is demonstrated that the presented model could generate highlight effects at the appropriate positions and enhance the perceptual translucency of specific edge areas greatly.
Exploring enterprise marketing investment elasticity based on equilibrium movement model
Authors: Huang Yan
Published: November 2020

Enterprise marketing is affected by a variety of factors, which lead to certain fluctuations in corporate market influence, and it is difficult to effectively control the elasticity of market influence. In order to improve the elastic analysis effect of enterprise marketing investment, based on the machine learning algorithm, this paper uses the equilibrium movement model to construct an intelligent model suitable for marketing simulation analysis. The equilibrium movement model used in this paper is a simulation of a real situation, which can be used for predictive analysis and can measure how much an exogenous impact can cause endogenous variables to change. Moreover, this paper establishes a mathematical model to express the influence of marketing with the help of producer surplus, quantify this influence, and use numbers to show the influence of marketing more intuitively. In addition, this paper uses case analysis to study the effect of model analysis. From the research process and conclusions, it can be seen that the model constructed in this paper has certain effects.
Iterative learning identification method for parameters of macro traffic flow model
Authors: Chen Yuan
Published: November 2020

The macro traffic flow model of expressway is transformed into a general discrete-time nonlinear system model including this model by using the repeatability of the macro traffic flow model, and then a parameter identification algorithm based on iterative learning is designed for this general discrete-time nonlinear system model. The convergence of this parameter identification scheme is proved by strict theoretical derivation and robustness. Simulation results verify the effectiveness of the algorithm.
Simulation of WDM-ROF-PON selective access link system based on hybrid modulation of MZM and OFM
Authors: Xiong Cheng , Li You , Long Nuoya
Published: November 2020

Based on the introduction of the principle of the optical wireless system, the WDM-ROF based on hybrid modulation of MZM and OFM is designed WDM-ROF-PON system architecture, using simulation software to build the system to verify the rationality of the MZM and OFM hybrid modulation system structure; and put forward an MZM and OFM hybrid modulation scheme, using IRZ code in the downlink data stream, with better extinction ratio and dispersion tolerance, reducing the cost of the user receiving equipment, improving the system transmission quality. The simulation results show that the scheme of MZM and OFM hybrid modulation WDM-of-pon network architecture is reasonable and practical.
Fixed-point tracking of English reading text based on mean shift and multi-feature fusion
Authors: Ma Xiaona
Published: November 2020

English text is difficult to recognize under the interference of blurred background, so it is necessary to improve the fixed-point tracking technology of English text. Based on machine learning algorithms, this paper studies the fixed-point tracking model of English reading text based on mean shift and multi-feature fusion. The target tracking algorithm based on mean shift obtains the description of the target model and the candidate model by calculating the pixel feature probability in the target area and the candidate area. Then, it uses the similarity function to measure the similarity between the initial frame target model and the current candidate model, selects the candidate model that maximizes the similarity function, and obtains the target model mean offset vector. Finally, it continuously iteratively calculates the offset vector based on this vector, and finally converges to the true position of the target, thereby achieving the effect of tracking. In general, it is verified that the model constructed in this paper works well through control experiments.
Intelligent English translation system based on evolutionary multi-objective optimization algorithm
Authors: Song Xin
Published: November 2020

The difficulty of obtaining the characteristics of the corpus database of neural machine translation is a factor hindering its development. In order to improve the effect of English intelligent translation, based on the machine learning algorithm, this paper improves the multi-objective optimization algorithm to construct a model based on the English intelligent translation system. Moreover, this paper uses parallel corpus and monolingual corpus for model training and uses semi-supervised neural machine translation method to analyze the data processing path in detail and focuses on the analysis of node distribution and data processing flow. In addition, this paper introduces data-related regularization items through the probabilistic nature of the neural machine translation model and applies it to the monolingual corpus to help the training of the neural machine translation model. Finally, this paper designs experiments to verify the performance of this model. The research results show that the translation model constructed in this paper is highly intelligent and can meet actual translation needs.
Analysis and application of martial arts video image based on fuzzy clustering algorithm
Authors: Zhao Chao , Yang Hongling , Li Xiaoqian , Li Rui , Zheng Shoucun
Published: November 2020

The intelligent scheduling algorithm for hierarchical data migration is a key issue in data management. Mass media content platforms and the discovery of content object usage patterns is the basic schedule of data migration. We add QPop, the dimensionality reduction result of media content usage logs, as content objects for discovering usage patterns. On this basis, a clustering algorithm QPop is proposed to increase the time segmentation, thereby improving the mining performance. We hired the standard C-means algorithm as the clustering core and used segmentation to conduct an experimental mining process to collect the ted QPop increments in practical applications. The results show that the improved algorithm has good robustness in cluster cohesion and other indicators, slightly better than the basic model.
Statistical features analysis and discrimination of maize seeds utilizing machine vision approach
Authors: Ali Aqib , Mashwani Wali Khan , Tahir Muhammad H. , Belhaouari Samir Brahim , Alrabaiah Hussam , Naeem Samreen , Nasir Jamal Abdul , Jamal Farrukh , Chesneau Christophe
Published: November 2020

The purpose of this study is the statistical analysis and discrimination of maize seed using a machine vision (MV) approach. The foundation of the digital image dataset holds six maize seed varieties named as Kargal K-9803, Gujjar Khan, Desi White, Pioner 30Y87, Syngenta ST-6142, and Pioner 31R88. The digital image dataset acquired via a digital imaging laboratory. For preprocessing, we crop the image into a size of 600×600 pixels, and convert it into a gray level image format. After that, line and edge detection are performed by using a Prewitt filter, and five non-overlapping areas of interest (AOIs) size of (200×200), and (250×250) are drawn. A total of 56 statistical features, containing texture features, histogram features, and spectral features, is extracted from each AOI. The 11 optimized statistical features have been selected by deploying “Correlation-based Feature Selection” (CFS) with the Greedy algorithm. For the discrimination analysis, four MV classifiers named as “Support Vector Machine” (SVM), “Logistic” (Lg), “Bagging” (B), and “LogitBoost” (LB) have been deployed on optimized statistical features dataset. After analysis, the SVM classifier has shown a promising accuracy of 99.93% on AOIs size (250×250). The obtained accuracy by SVM classifier on six maize seed varieties, namely Kargal K-9803, Gujjar Khan, Desi White, Pioner 30Y87, Syngenta ST-6142, and Pioner 31R88, were 99.9%, 99.8%, 100%, 100%, 99.9%, and 99.8%, respectively.
Compromised multi-granulation rough sets based on an attribute-extension chain
Authors: Gou Hongyuan , Zhang Xianyong
Published: November 2020

The multi-granulation rough sets serve as important hierarchical models for intelligent systems. However, their mainstream optimistic and pessimistic models are respectively too loose and strict, and this defect becomes especially serious in hierarchical processing on an attribute-expansion sequence. Aiming at the attribute-addition chain, compromised multi-granulation rough set models are proposed to systematically complement and balance the optimistic and pessimistic models. According to the knowledge refinement and measure order induced by the attribute-enlargement sequence, the basic measurement positioning and corresponding pointer labeling based on equilibrium statistics are used, and thus we construct four types of compromised models at three levels of knowledge, approximation, and accuracy. At the knowledge level, the median positioning of ordered granulations derives Compromised-Model 1; at the approximation level, the average positioning of approximation cardinalities is performed, and thus the separation and integration of dual approximations respectively generate Compromised-Models 2 and 3; at the accuracy level, the average positioning of applied accuracies yields Compromised-Model 4. Compromised-Models 1–4 adopt distinctive cognitive levels and statistical perspectives to improve and perfect the multi-granulation rough sets, and their properties and effectiveness are finally verified by information systems and data experiments.
AI-CTO: Knowledge graph for automated and dependable software stack solution
Authors: Xu Xiaoyun , Wu Jingzheng , Yang Mutian , Luo Tianyue , Meng Qianru , Li Weiheng , Wu Yanjun
Published: November 2020

As the scale of software systems continues expanding, software architecture is receiving more and more attention as the blueprint for the complex software system. An outstanding architecture requires a lot of professional experience and expertise. In current practice, architects try to find solutions manually, which is time-consuming and error-prone because of the knowledge barrier between newcomers and experienced architects. The problem can be solved by easing the process of apply experience from prominent architects. To this end, this paper proposes a novel graph-embedding-based method, AI-CTO, to automatically suggest software stack solutions according to the knowledge and experience of prominent architects. Firstly, AI-CTO converts existing industry experience to knowledge, i.e., knowledge graph. Secondly, the knowledge graph is embedded in a low-dimensional vector space. Then, the entity vectors are used to predict valuable software stack solutions by an SVM model. We evaluate AI-CTO with two case studies and compare its solutions with the software stacks of large companies. The experiment results show that AI-CTO can find effective and correct stack solutions and it outperforms other baseline methods.
p-ideals of BCI-algebras based on neutrosophic N -structures
Authors: Muhiuddin G.
Published: November 2020

In this paper, neutrosophic N -structures are applied to p-ideals of BCI-algebras. In fact, we introduce the notion of neutrosophic N -p-ideal in BCI-algebras, and investigate several properties. Further, we present characterizations of neutrosophic N -p-ideal. Moreover, we consider relations between a neutrosophic N -ideal and a neutrosophic N -p-ideal. Also, we provide conditions for a neutrosophic N -ideal to be a neutrosophic N -p-ideal. Furthermore, it is proved that the neutrosophic N -structure Q N G over Q is a neutrosophic N p -ideal of Q ⇔ G is a p-ideal of Q where G is a non-empty subset of a BCI-algebras Q.
Analysis of spiritual leadership and ethical climate for banking industry using an integrated IT2 fuzzy decision-making model
Authors: Dinçer Hasan , Baykal Elif , Yüksel Serhat
Published: November 2020

The study aims to propose a novel model to define the role of spiritual leadership on the ethical climate for the banking industry. There are mainly three different stages in this model. Firstly, the criteria of each factor are selected with correlation coefficients by considering the balanced scorecard (BSC)-based linguistic evaluations. After that, these criteria are weighted by using interval type-2 (IT2) fuzzy decision-making trial and evaluation laboratory (DEMATEL). The third and the final stage aims to rank 5 biggest banks of Turkey which are quoted in İstanbul Stock Exchange. Within this framework, IT2 fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach is considered. The findings demonstrate that the spiritual leadership has a significant influence on the ethical climate. Altruistic love is the most important spiritual leadership dimension to improve ethical climate in the organization. On the other side, it is also concluded that private banks in Turkey are the most successful with respect to the ethical climate. The results give an idea that spiritual leader contributes to the improvement of the ties of love and respect among employees. The main reason is that altruistic love improves the judgement and sensitivity competencies of the ethical so that employees tend to be working in a more ethical way.
Effects of Helicobacter pylori on Levodopa Pharmacokinetics
Authors: Nyholm Dag , Hellström Per M.
Published: November 2020

Background: Infection with Helicobacter pylori seems overrepresented in Parkinson’s disease. Clinical observations suggest a suboptimal treatment effect of levodopa in Helicobacter positive patients. Objective: Describe and explain the connection between a Helicobacter pylori infection of the upper gut and changes in pharmacokinetics of oral levodopa treatment in Parkinson’s disease. Methods: PubMed, Google Scholar, and Cross Reference search was done using the key words and combined searches: Bioavailability, drug metabolism, dyskinesia, Helicobacter, L-dopa, levodopa, motor control, pharmacodynamics, pharmacokinetics, prevalence, unified Parkinson’s disease rating scale. Results: The prevalence of Helicobacter pylori in Parkinson’s disease patients is reported to be about 1.6-fold higher than in a control population in some studies. Helicobacter has therefore been assumed to be linked to Parkinson’s disease, but the mechanism is unclear. As regards symptoms and treatment, patients with Parkinson’s disease on levodopa therapy and with Helicobacter pylori infection display worse motor control than those without Helicobacter infection. Eradication of the infection improves levodopa response in Parkinson’s disease, likely as a consequence of an increased oral pre-systemic bioavailability of levodopa, likely to be explained by reduced Helicobacter-dependent levodopa consumption in the stomach. In addition, small intestinal bacterial overgrowth may also have an impact on the therapeutic setting for levodopa treatment but is less well established. Conclusion: Eradication of Helicobacter pylori improves levodopa bioavailability resulting in improved motor control. Eradication of Helicobacter should be considered in patients with poor symptomatic control and considerable motor fluctuations.
Effectiveness of physiotherapy interventions in brain plasticity, balance and functional ability in stroke survivors: A randomized controlled trial
Authors: Rahayu Umi Budi , Wibowo Samekto , Setyopranoto Ismail , Hibatullah Romli M.
Published: November 2020

BACKGROUND: Brain injuries such as strokes cause damage and death of the neuron cells. Physiotherapy interventions help to improve patient’s performance and ability. However, this is only theorized but the impact of the physiotherapy intervention on brain plasticity is not known. OBJECTIVE: The present study aimed to investigate the effect of physiotherapy interventions on brain neuroplasticity by evaluating the brain plasticity regeneration, balance and functional ability. METHODS: A randomized controlled trial was conducted with 64 stroke patients from three hospitals in the Surakarta region, Indonesia. Control groups (n = 32) received conventional physiotherapy and intervention groups (n = 32) received neurorestoration protocol, which both lasted for seven days. Efficacy of the interventions were measured on brain-derived neurotropic factor serum analysis, Berg Balance Scale and Barthel Index, respectively. RESULTS: Both groups showed improvements in all parameters but only balance and functional performance had a statistically significant outcome. CONCLUSION: Neurorestoration protocol that combined several established physiotherapy interventions was effective in improving balance and functional ability of stroke patients in only a seven days period.
Effectiveness of spiritual care training for rehabilitation professionals: An exploratory controlled trial
Authors: Jones Kate Fiona , Pryor Julie , Care-Unger Candice , Descallar Joseph , Simpson Grahame Kenneth
Published: November 2020

BACKGROUND: Spirituality may play an important role in neurorehabilitation, however research findings indicate that rehabilitation professionals do not feel well equipped to deliver spiritual care. OBJECTIVE: To evaluate a spiritual care training program for rehabilitation professionals. METHODS: An exploratory controlled trial was conducted. Participants enrolled in a two-module spiritual care training program. Spiritual care competency was measured with the Spiritual Care Competency Scale. Confidence and comfort levels were measured using the Spiritual Care Competency Scale domains. The Spirituality and Spiritual Care Rating Scale assessed participant attitudes and knowledge. Measures were administered three times: pre-program, post-program and six weeks follow-up. RESULTS: The training (n = 41) and control (n = 32) groups comprised rehabilitation professionals working in spinal cord or traumatic brain injury units. No between-group differences were observed on the study variables at the pre-program time point. Multilevel models found that levels of spiritual care competency, confidence, comfort, and ratings on existential spirituality increased significantly for the training group (versus control) post-program (p < 0.05) and these significant differences were maintained at follow-up. CONCLUSIONS: A brief spiritual care training program can be effective in increasing levels of self-reported competency, confidence and comfort in delivery of spiritual care for rehabilitation professionals.
The effects of dynamic core-postural chain stabilization on respiratory function, fatigue and activities of daily living in subacute stroke patients: A randomized control trial
Authors: Yoon Hyun Sik. , Cha Young Joo. , You Joshua (Sung) Hyun
Published: November 2020

BACKGROUND: Neurodevelopmental treatment (NDT) and dynamic core-postural chain stabilization (DCS)- based exercise is effective for improving core stability and postural control in stroke patients. However, no study has reported respiratory function, increased fatigue and ADL function in subacute stroke patients by training using NDT and DCS exercises. OBJECTIVE: To compare the effects of DCS and NDT exercises on respiratory function, fatigue and activities of daily living in individuals with hemiparetic stroke. METHODS: Thirty-one participants with hemiparetic stroke (17 male, 14 female; mean age 60.4±14.58 years; post-stroke duration, 7.2±2.2 weeks) participated in this study. The participants were randomly allocated into DCS (n = 16) and NDT (n = 15). Respiratory function was determined using forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), maximal inspiratory pressure (MIP), and maximal expiratory pressure (MEP). The fatigue severity scale (FSS) and functional independent measure (FIM) were used to evaluate fatigue severity and activities of daily living (ADL). Analysis of covariance (ANCOVA) was used to evaluate post-test differences in the DCS and NDT exercise groups. RESULTS: ANCOVA revealed the superior effects of DCS in respiratory function, as well as clinical FSS and FIM tests, compared with those of NDT (p < 0.05). CONCLUSIONS: The results suggest that DCS training was more effective than NDT training at improving respiratory function, fatigue severity and ADL via balanced co-activation of the diaphragm and increased diaphragm movement in individuals with hemiparetic stroke.
Association between vestibular dysfunction and findings of horizontal head-shaking and vibration-induced nystagmus
Authors: Fujimoto Chisato , Kawahara Takuya , Yagi Masato , Murofushi Toshihisa
Published: November 2020

BACKGROUND: The association between vestibular function and findings of horizontal head-shaking nystagmus (HHSN) and vibration-induced nystagmus (VIN) tests is not well understood. OBJECTIVE: To investigate the association between function in the five distinct vestibular end organs and findings of these nystagmus tests. METHODS: We retrospectively reviewed the medical records of 50 patients with vestibular diseases who underwent HHSN testing, VIN testing, video head impulse testing (vHIT), cervical vestibular evoked myogenic potential testing to air-conducted sound (ACS cVEMP) and ocular VEMP testing to ACS (ACS oVEMP). We performed mixed-effects logistic regression analyses to see whether age, sex or the presence of nystagmus in HHSN or VIN have an association with the presence of peripheral vestibular dysfunction on the opposite side to the direction of nystagmus. RESULTS: The presence of HHSN had a significant association with abnormal vHIT in the lateral semicircular canal (LSCC) on the opposite side to the direction of nystagmus. The presence of VIN had a significant association with abnormal vHIT in all the SCCs and abnormal ACS oVEMP on the opposite side to the direction of nystagmus. CONCLUSIONS: HHSN had an association with LSCC dysfunction alone. VIN had an association with dysfunction in all the SCCs and the utricle.
Conhecimento de profissionais e estudantes da área de saúde sobre a Leishmaniose
Authors:   Universidade Federal Rural de Pernambuco, Silva Arivonaldo Vaniel da , Andrade Antônio Ricardo Santos de ,   Universidade Federal Rural de Pernambuco, Lopes Débora Karine Souza ,   Universidade Federal Rural de Pernambuco
Published: November 2020

This study aimed to evaluate the knowledge of health professionals and students about leishmaniasis in the region of the southern Pernambuco region. Data collection was performed between July and August 2016, based on the application of questionnaires to 94 health professionals and their analysis was based on descriptive and inferential statistics techniques. The association between the knowledge of leishmaniasis and health professionals was verified, although veterinarians have demonstrated greater knowledge of leishmaniasis compared to other professionals interviewed in the health area at a significant level of p  0.05.
PENYUSUTAN BERAT, KARAKTERISTIK FISIK DAN KIMIA BIJI KOPI RAKYAT DI LERENG PEGUNUNGAN ANJASMORO WILAYAH KABUPATEN MOJOKERTO JAWA TIMUR
Authors: Sutrisno Eko , Sholichah Nur Habibatul
Published: November 2020

Masyarakat yang tinggal di Lereng Pegunungan Anjasmoro wilayah Kabupaten Mojokerto mulai banyak yang menanam kopi. Belum ada data jenis kopi dan kualitas atau mutu kopi yang ditanam oleh masyarakat menarik untuk dilakukan penelitian. Metode yang digunakan dalam penelitian ini yaitu deskripstif dengan survey sampling, meneliti karakteristik susut bobot, fisik dan kimiawi biji kopi (coffee bean) yang dihasilkan perkebunan kopi rakyat di lereng Pegunungan Anjasmoro wilayah Kabupaten Mojokerto. Karakter fisik meliputi diameter geometric, sphericity, luas permukaan dan volume. Karakter kimia meliputi pH, kadar air, dan total asam. Varietas kopi di lokasi penelitian ada tiga jenis, yaitu Robusta, Exelsa dan Robusta stek dengan exelsa. Susut Berat/bobot buah kopi selama penjemuran sebesar 42,16%, saat kulitnya dipecah susut sebesar 46,84% dan saat proses penyangraian susut sebesar 45,79%. Diameter geometric jenis Robusta 13,80 cm3 dan jenis exelsa 11,75 cm3. Sperisitas biji kopi jenis robusta rata-rata 218,94 sedangkan jenis Exelsa 192,48. Luas permukaan kopi jenis Robusta rata-rata 16,04 cm2 dan jenis Exelsa 12,85 cm2. Volume rata-rata kopi jenis Robusta 0,021 cm3 dan kopi jenis Exelsa 0,016 cm3. pH rata-rata kopi jenis Robusta sebesar 6,79 dan jenis Exelsa sebesar 6,57. Total Asam rata-rata total asam jenis Robusta sebesar 0,15 % sedangkan Exelsa 0,11%. Kadar air kopi jenis Robusta sebesar 10,63% dan Exelsa sebesar 11,56%.
Veszélyes üzemek folyamatbiztonságának kockázatalapú irányítása és annak lehetőségei 1.
Authors: Serfőző Kálmán
Published: November 2020

A szerző kétrészes publikációjában az Amerikai Vegyészmérnök Intézet Vegyi Folyamatok Biztonsági Központja által kidolgozott különböző technológiai folyamatok kockázatalapú biztonsági irányításának lehetőségeit kívánja bemutatni. A magyar katasztrófavédelmi törvény meghatározó elemei az iparbiztonsági szempontból veszélyes üzemek biztonsági irányítási rendszereivel szemben támasztott előírások. A szerző által ismertetett eljárás elemei több, Magyarországon működő veszélyes anyagokkal foglalkozó vállalat által használtak, azonban jogszabályi szinten nem jelenik meg hazánkban ilyen összetett követelményrendszer. Az első cikkben a kockázatalapú folyamatbiztonság elvének általános bemutatása után a technológiai rendszerekre vonatkozó információk meglétének, valamint a változások nyomon követésének fontosságáról, az eszközök minőségének és megbízhatóságának biztosításával kapcsolatos kérdéseiről olvashatunk.
CBRN Decontamination Tasks Supporting Rescue and Extraction Missions in CBRN Environment
Authors: Csóka Attila
Published: November 2020

“Search and Extraction” is a NATO capability requirement without definition. The study shows the civilian search and rescue team requirements based on the Guidelines of the International Search and Rescue Advisory Group. A new definition is proposed: “Rescue and Extraction”. In the main part of the study the problems of CBRN decontamination of vehicles, equipment and personnel during a Rescue and Extraction task are discussed.
Mobil vezetési pontok a krízismenedzsmentben
Authors: Máthé András , Berek Lajos
Published: November 2020

A mobil vezetési pontok katonai alkalmazására a második világháborúban az afrikai hadszíntéren került sor először. A gyors katonai csapatmozgások, a folyamatosan változó hadszíntér, amely több tíz, akár száz kilométeresre nőtt, megkövetelte, hogy a hadműveleti vezetési pontokat ne egy épületben helyezzék el, hanem költöztethetők legyenek. A mobil vezetési pontok sikeres katonai alkalmazását alapul véve, valamint az információs technológia fejlődésének köszönhetően kormányzati rendvédelmi szervek is igénnyel álltak elő olyan mobil vezetési pontok felhasználása iránt, amelyek segítségükre vannak a természeti katasztrófák elleni védekezésben, terrortámadás vagy egyéb baleset-elhárításban részt vevő katasztrófavédelmi és egyéb hatósági szervek közötti helyszíni koordináció megvalósításában. Ebben a cikkben a szerzők áttekintik a mobil vezetési pontok alkalmazásának történeti hátterét, bemutatják felépítésüket, tipikus kialakításukat, eszközeiket, kiválasztásuk szempontjait.
The Impact of the COVID-19 Pandemic on the Competitiveness of the Tourism Industry
Authors: Rikumahu Paulus
Published: November 2020

The COVID-19 pandemic has been going on since December 2019 and changed all predictions of tourism competitiveness in various countries in the world, including various regions in Indonesia. The research objective is intended to measure the competitiveness of tourism in the AmboThe COVID-19 pandemic has been going on since December 2019 and changed all predictions of tourism competitiveness in various countries in the world, including various regions in Indonesia. The research objective is intended to measure the competitiveness of tourism in the Ambon City area to determine the contribution of tourism to the economy of Ambon City and Tual City. This study was done in an exploratory manner. The results of the Competitiveness Monitor analysis show that the competitiveness indicators (Human Tourism, Price Competitiveness, Infrastructure Development, Environment, Human Resources, and Social Development) in Ambon City was better than the ones in Tual City. However, the tourism competitiveness analysis referred to had completely changed along with the regional quarantine (lockdown) system implemented in various countries, and the Regional-Scaled Social Restrictions (Pembatasan Sosial Berskala Regional (PSBR)) system implemented in various provinces in Indonesia – which also included a temporary closure of inter-province seaports in Maluku to limit the virus spread. Therefore, there is an urgency of the role of government and related stakeholders to prepare for a new tourism business order, especially in the provision of transportation, and availability of hotels, restaurants, human resources, and environment which are free from the COVID-19 virus.
KARŞILAŞTIRMALI KAMU YÖNETİMİ PERSPEKTİFİNDEN YUGOSLAVYA SONRASI BALKAN ÜLKELERİNDE DEVLET MEMURLUĞU SİSTEMİ
Authors: TOLGA Fatih , DÖLEK Gizem Naz , BİLGİN Kamil Ufuk
Published: November 2020

Yugoslavya iç savaşı sonrası Balkanlarda kurulan yeni devletler Bosna-Hersek, Hırvatistan, Karadağ, Kosova, Kuzey Makedonya, Sırbistan ve Slovenya aslında kendi devlet yapılanmaları sırasında, devlet memurluğu sistemlerini de oluşturmuşlardır. Zira kamu hizmetlerinin verilebilmesi için önce kamu yönetiminin oluşturulması ve kamu personeline ihtiyaç duyulmaktadır. Kamu personelinin ise, mutlaka ulusal bir kanuna göre işe alınması ve yönetilmesi gerekmektedir. Makalenin amacı, bu yedi ülkedeki Devlet Memurluğu sistemlerinin memur olma şartları, adaylık ve eğitim, haklar, yükümlülükler, yasaklar ve disiplin cezaları ve son olarak performans değerlendirme ve ödüllendirme açılarından karşılaştırmalı olarak analizini yapmaktır. Bu amaçla araştırmamıza konu ülkelerin kamu personel yönetimi açısından ne tür farlılıklara veya benzerliklere sahip olduklarını belirleyerek aralarındaki devlet memurluğu sistemine ilişkin yönetimsel etkilenme düzeyleri ortaya konacaktır. Makalede yöntem, Yugoslavya sonrası kurulan balkan ülkelerindeki Devlet Memurluğu sistemlerinin, özellikle yasal mevzuat içeriğinde karşılaştırmalı kamu yönetimi yaklaşımı çerçevesinde incelenmesi olmuştur. Ancak, makalenin konusunu Bosna-Hersek, Hırvatistan, Karadağ, Kosova, Kuzey Makedonya, Sırbistan ve Slovenya Devlet Memurluğu sistemleri oluşturmaktadır. Buna göre, Yugoslavya iç savaşı sonrası kurulan Balkan ülkelerindeki Devlet Memurluğu sistemlerinin, öncelikle benzer isimlendirmelerle şekillendirildiği; Örneğin, Bosna-Hersek, Hırvatistan, Karadağ, Kuzey Makedonya ve Sırbistan’da Devlet Memurluğu için “Državni Službenik” teriminin kullanıldığı; Slovenya’da “Javni Uslužbenec”; Kosova’da ise, “Nëpunësi Civil” ifadelerinin kullanıldığı belirlenmiştir. Araştırma bulgularına göre, Balkan ülkelerinde Devlet Memurluğuna ilişkin yasal çerçeve, birbirine benzer özellikler taşımakla birlikte, söz konusu ülkelerin geçmişteki Yugoslavya etkisinden sıyrılma çabaları, onların AB üyesi olma girişimleriyle hız kazanmaktadır. Zira bu çaba, bir taraftan kamu personelinin verimli ve etkili yönetimine yöneltmekte iken; diğer taraftan da halka daha iyi hizmet verilmesini sağlayabilmektedir.
Temporomandibular Eklem Bozukluklarında Yağ Grefti ve Trombositten Zengin Fibrinin Doku Onarımı Üzerine Kombine Etkisi
Authors: KÖSE Mehmet , YAVAŞ Senem Esin , ERSOY Semiha , KAHVECİ Ramazan
Published: November 2020

Temporomandibular eklem (TME), memeli çenesinin hareketleri için gerekli olan sinoviyal bir eklemdir, vücutta en sık kullanılan eklemlerden biridir. Yaşlı hastalarda primer olarak görülebilen, bazı patolojik durumlarda (travma ve internal derangement) sekonder olarak gelişen osteoartrit TME’de en sık görülen artrit tipidir. TME patolojilerinin, kıkırdak dokunun histolojik yapısı gereği iyileşme potansiyeli düşük olduğu için, klinik tedavileri sınırlıdır. Bu çalışmada farklı hücrelere dönüşme potansiyeli olan yağ doku kaynaklı kök hücrelerin, birçok büyüme faktörü barındıran Trombositten Zengin Fibrin (PRF) ile uyarılarak, hasar oluşturulan TME kıkırdağı üzerindeki kombine etkilerinin araştırılması amaçlandı. Çalışmada tavşanların her iki TME eklem disk laterallerinde 3 mm’lik defektler oluşturuldu. Sağ tarafa ense-sırt bölgesinden alınan yağ grefti ve tavşanın kendi kanından hazırlanan PRF yerleştirildi, sol tarafı sham grubu olarak planlanıp başka işlem yapılmadan kapatıldı. 8 hafta sonunda eklem kondil ve diskleri çıkarıldı, Hematoksilen&Eozin (H&E) ve Safranin O-Fast Green metodları ile boyanarak incelendi. Her iki grup için eklem yüzey yapısı, kondrosit yoğunluğu, hücre kümelenmesi ve Safranin O-Fast Green boyanma kaybı histopatolojik olarak derecelendirildi. Değerlendirilen parametreler arasında anlamlı fark saptanmadığı için, deneysel TME defekt modelinin onarımında yağ grefti ve PRF kombinasyonu etkili bulunmadı.
Microbial Content Test on Sliced Papaya in Area of Universitas Sumatera Utara
Authors: Lubis Nenni Dwi Aprianti , Amelia Sri , Balatif Ridwan
Published: November 2020

Papaya is a fruit that is often consumed in Indonesia and has increased consumption from 2015-2016 based on SUSENAS 2016. Papaya has high water content (85-90%) and the pH is near neutral. This makes papaya vulnerable and suitable medium for the growth of pathogenic microbes. The presence of pathogenic microbes in papaya can cause health problems for those who consumed them. Objectives this study was to observe the microbial content of sliced papaya in the Universitas Sumatera Utara. Method this research was carried out by conducting laboratory tests and the results obtained in the form of a description of microbial content in papaya cut samples. The content of coliform microbes in sliced papaya was tested using the Most Probable Number (MPN) method and biochemical identification. Papaya samples were selected using total sampling method from the University of Sumatera Utara. Results A total of 14 sliced papaya samples were analysed in this study. By using the MPN test it was found that all papaya samples had a microbial threshold exceeding those determined by SNI 7388: 2009 which is below <20 / g. A total of 9 papaya samples (64.28%) contained Klebsiella sp. bacteria, 5 samples (35.72%) contained E.coli bacteria. Conclusions Bacteria found in this study were Escherichia coli and Klebsiella sp. The presence of microbial content in the sliced papaya sample that exceeds the threshold must be a concern of various parties in the surveillance of snacks being sold.
Application of Herbal Meatball Processing Technology to Increase Stamina Against Covid 19 for the Wua Wua Subdistrict, Kendari City
Authors: Hafid Harapin , Nuraini Nuraini , Asminaya N S , Aka R , Fitrianingsih Fitrianingsih , Toba R D S , Kimestri A B , Ananda S H
Published: November 2020

Meatballs are one of the processed meat products that can be added by Moringa leaves in the manufacturing process. Moringa leaves contain a lot of protein, vitamins, and minerals. With the addition of Moringa leaves, in addition to increasing the nutritional value of meatballs, it also increases the potential of the foodstuff and can produce products that are of high nutritional value but are economical because Moringa leaves are cheap and easily available. The method used in the first community service program is to approach, interview and deepen problems and find solutions to problems. Second, using the method of learning by doing with teaching media in the form of a guide book on how to make herbal meatballs, giving brochures and demonstrations and banners that attract the interest of the community. Providing counseling and training by providing training and demonstration material or practice how to make herbal meatballs. Outcomes of this community service program 1) Increasing the competitiveness of the business of animal origin food products with herbal raw materials, 2) Increasing the turnover of community groups such as, improving values ​​in the community, 3) Providing additional knowledge to the public about processing livestock products (herbal meatballs) , 4) Producing products that can be useful to maintain fitness and body immunity so as to reduce the risk of exposure to covid-19.
Cyberbullying and victimization: a review of foreign publications
Authors:   St. Petersburg State University, Deyneka Olga S. , Dukhanina Lyubov N. ,   All-Russian public-educational organization Russian “Znanie” society, Maksimenko Aleksandr A. ,   National Research University Higher School of Economics
Published: November 2020

The relevance of studying the aggression of children in cyberspace remains extremely high due to the ongoing intensification of digital communication, the development of social media and new formats of interaction, and the features of digital socialization of generation Z. In the course of a theoretical analysis of the works of foreign researchers, mainly of the last five years, devoted to the problem of bullying on the Internet, data from numerous surveys on the prevalence of the phenomenon in various countries are presented, the interpretation of the concept of "cyberbullying" adopted in the scientific community is discussed, its classifications and types are considered, as well as the most popular theoretical models of this destructive phenomenon, the prerequisites and predictors, the roles of communication participants and the peculiarities of their interaction in a virtual environment are highlighted. A review of modern studies made it possible to draw attention to the methods of collecting information used abroad, as well as to the relationship with the characteristics of the "dark triad of personality" and the parameters of the "Big Five" test. Analyzing destructive behavior in cyberspace, scientists associate it with an excessive degree of self-disclosure on social networks and the publication of too explicit, provocative content, increased use of psychoactive substances, low levels of friendly support, negative family environment and sexual violence. It was shown that a high degree of peer friendly support, warm relationships at school, and parental support are a protective factor against virtual bullying. Cyberbullying victimization affects the psychosomatic status of the victim, causing increased anxiety, anger, depression, sleep problems, theft, harm, and violation of social rules.
Methodology for identifying academic disciplines in the risk group in terms of academic performance
Authors:   Siberian Federal University, Pogrebnikov Alexander K. , Shestakov Vyacheslav N. ,   Siberian Federal University, Yakunin Yuri Yu. ,   Siberian Federal University
Published: November 2020

The relevance of the study is due to the lack in the literature of practical models and algorithms for improving the quality of education by identifying disciplines that are risky for academic performance. Such disciplines become a “stumbling block” on the way of successful mastering by students of the educational program. The consequence is a make-up examination, losing scholarships, academic arrears, expulsion. Risky disciplines require the adoption of corrective management actions to reduce the risks of unsatisfactory teaching and/or learning. The purpose of the study is to identify indicators for assessing the risk of academic achievement and developing an evidence-based methodology for identifying disciplines at risk. For the statistical analysis, the academic performance results of 462 second-year students in various fields of study in 92 disciplines were used. Two approaches have been developed to identify disciplines included in the risk group in terms of academic performance: 1) calculation of the total risk score for each discipline; 2) clustering of disciplines. Both approaches are based on: performance indicators; non-risky area for determining the values of these indicators; identification of disciplines that go beyond the non-risky area. Each of the approaches made it possible to single out the disciplines that were risky for academic performance (22 – by the first method, 27 – by the second one). A high correlation of the disciplines identified by the two methods was revealed. For disciplines with the “exam” form of control – r=0.99, with the “credit” form of control – r=0.77. The proposed methodology variants can be applied in universities that operate educational process management systems to support the functions of students’ contingent movement and accounting for academic performance.
Southwest Regional Climate Hub and California Subsidiary Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies
Authors: Elias Emile , Steele Caiti , Havstad Kris , Steenwerth Kerri , Chambers Jeanne , Deswood Helena , Kerr Amber , Rango Albert , Schwartz Mark , Stine Peter , Steele Rachel
Published: November 2020

In 2015, the Southwest and California Climate Hubs published a report describing the potential vulnerability of crops, forests and animal agriculture to climate-driven environmental changes. The exposure of specific sectors of the agricultural and forestry industries varies across the region because the Southwest is climatically and topographically diverse. There is also variability in the sensitivity of different systems to the effects of climate change. Most significantly, there is potential within agricultural and forestry systems to adjust to climate-related effects either through inherent resilience or through conservative management practices. The purpose of this report is to describe regional vulnerabilities to climate change and adaptive actions that can be employed to maintain the productivity of working lands in the coming decades.
Climate Change Capacity Discovery: Current Activities and Future Priorities at Land-grant Universities in the Northeast
Authors: Tobin Daniel , Radhakrishna Rama , Chatrchyan Allison , Chan Joana , Allred Shorna
Published: November 2020

This report details the findings from the Capacity Discovery project, an online survey implemented in spring 2015 that documented the current and future capacity of land-grant universities in the Northeast to address climate change research and Extension work in the agriculture, natural resources, and forestry sectors.
Southern Plains Assessment of Vulnerability and Preliminary Adaptation and Mitigation Strategies for Farmers, Ranchers and Forest Land Owners
Authors: Steiner Jean , Schneider Jeanne , Pope Clay , Pope Sarah , Ford Paulette , Steele Rachel
Published: November 2020

The Southern Plains region contributes significantly to the Nation’s wheat and beef production. Winter wheat is the principal annual crop, with much of it serving dual-use as a cool-season annual forage in addition to grain production. Cattle are raised on extensive pasture and rangelands across the region.
Agricultural Barriers to Addressing Climate Change in the Northeastern U.S.
Authors: Thorn Kaila , Radhakrishna Rama , Tobin Dan , Chatrchyan Allison , Chan Joana , Allred Shorna
Published: November 2020

Findings from this study provide insight into the barriers that land-grant university research and Extension personnel in the Northeast perceive as most challenging when addressing climate change issues. The respondents of this study represented research faculty, Extension specialists, and Extension educators from the 16 land-grant universities in the Northeastern U.S.
Making Sense of Coproduction: What Is It Good For?
Authors: Roesch-McNally Gabrielle , Prendeville Holly
Published: November 2020

Coproduction is the “process of producing usable, or actionable science through collaboration between
scientists and those who use science”.
A Field Day to the Long Term Agricultural Research Site, Hamilton County, IA
Authors: Kistner Erica
Published: November 2020

Soil erosion is quickly becoming a severe problem throughout the Midwest and the situation is predicted to worsen unless more sustainable management practices are adopted. Management practices like reduced tillage and cover crops are recommended to help present soil erosion, enhance soil quality, and reduce greenhouse gas emissions.