bluuebunny/crossref_metadata_2025 huggingface dataset:
Calculation and identification of the coordinate of oil jet ejection from the gap of a rotating connecting rod bearing
Authors: Putintsev S. V , Strelnikova S. S , Anikin S. A
Published: December 2020

The development of a modern high-speed, energy-efficient and reliable diesel engine requires high-quality lubrication of all friction parts in general and parts of the cylinder-piston group (CPG) in particular. The relevance of this research is due to the insufficient study of the process of oil jet supply of CPG parts, implemented in combined lubrication systems of modern high-speed four-stroke engines and significantly affecting the processes of friction, wear and scuffing of parts of this group. The analysis of previously performed works in this area has shown the feasibility of not only setting up an experiment, but also using computational modeling in order to increase the informativity of the results obtained. The aim of the study was to determine the coordinates of the point of ejection of the oil jet from the gap of the rotating connecting rod bearing. According to the accepted working hypothesis, the point of ejection of the oil jet was the geometric place of the maximum gap in the connecting rod bearing. To calculate the angular coordinate of this point, we used the method of composing and solving equations of plane motion of a solid body. As a result of the research, an analytical expression of the desired coordinate was obtained and its value was calculated during the working cycle for the conditions of the nominal operating mode of the research object - a high-speed universal air-cooled diesel engine 1CH 8.5/8.0 (TMZ-450D). Ensuring the reliability and increasing the accuracy of the results of the study is confirmed by comparison with the calculated data obtained by the method of classical dynamics of piston engines. The array of calculated values of the coordinate of the oil jet ejection point from the gap of the rotating connecting rod bearing of the diesel engine, defined in this paper, will be used for debugging the developed tool for calculating modeling of the oil jet feed process and subsequent optimization of the conditions of lubrication, friction and wear of CPG parts on this basis.
Research on Optimization Method of Tool Path in Five-Axis Process Singular Region
Authors: Wang Yujie , Shen Xin , Peng Yu , Zhao Lixin
Published: December 2020

For the five-axis machine into the singular region in the process of parts processing, resulting in a discontinuous and rapid rotation of the axis of rotation of large angles. Based on the analysis of the cause of the obvious ripple on the machined surface and the influence on the machining precision, a mathematical model of the singular region is established, and an optimization method of the tool path in the singular region is proposed. The simulation and practical machining results show that the method can effectively overcome the problem of excessive movement of the rotating shaft in the Song singular region of 5-axis machine tool, and solve the surface corrugated defects caused by the problem, while improving the processing efficiency.
Deep Robot-Human Interaction with Facial Emotion Recognition Using Gated Recurrent Units & Robotic Process Automation
Authors: Saxena Suchitra , Tripathi Shikha , Tsb Sudarshan
Published: December 2020

This research work proposes a Facial Emotion Recognition (FER) system using deep learning algorithm Gated Recurrent Units (GRUs) and Robotic Process Automation (RPA) for real time robotic applications. GRUs have been used in the proposed architecture to reduce training time and to capture temporal information. Most work reported in literature uses Convolution Neural Networks (CNN), Hybrid architecture of CNN with Long Short Term Memory (LSTM) and GRUs. In this work, GRUs are used for feature extraction from raw images and dense layers are used for classification. The performance of CNN, GRUs and LSTM are compared in the context of facial emotion recognition. The proposed FER system is implemented on Raspberry pi3 B+ and on Robotic Process Automation (RPA) using UiPath RPA tool for robot human interaction achieving 94.66% average accuracy in real time.
Explainable AI: Using Shapley Value to Explain Complex Anomaly Detection ML-Based Systems
Authors: Zou Jinying , Petrosian Ovanes
Published: December 2020

Generally, Artificial Intelligence (AI) algorithms are unable to account for the logic of each decision they take during the course of arriving at a solution. This “black box” problem limits the usefulness of AI in military, medical, and financial security applications, among others, where the price for a mistake is great and the decision-maker must be able to monitor and understand each step along the process. In our research, we focus on the application of Explainable AI for log anomaly detection systems of a different kind. In particular, we use the Shapley value approach from cooperative game theory to explain the outcome or solution of two anomaly-detection algorithms: Decision tree and DeepLog. Both algorithms come from the machine learning-based log analysis toolkit for the automated anomaly detection “Loglizer”. The novelty of our research is that by using the Shapley value and special coding techniques we managed to evaluate or explain the contribution of both a single event and a grouped sequence of events of the Log for the purposes of anomaly detection. We explain how each event and sequence of events influences the solution, or the result, of an anomaly detection system.
Adapted NRC Based Sentiment Analysis in Event Distraction
Authors: Wang Zeling , Wei Bing , Li Yibing
Published: December 2020

The paper was trying to extract entities from related tweets collected from twitter. This project first collected real-time tweets from twitter searching API with related topic-based hashtags during the death of American black man George Floyd. We then used two approaches to identify the polarities or emotions of each tweets and generated over-time sentiment flow chart in detecting entities. We found that some extreme sentiment score was correlated with some key entities over time. And our adapted NRC-lexicon based approach obtained better results. This paper revealed that public’s sentiment displayed on tweets was generally consistent with the correlated events previously. It might help researchers in predicting or preventing public events in the future.
Real Time Digital Filter for a Front-End Electronics in Dark Matter and Neutrino Measurements
Authors: Martinez R. Alejandro D. , On behalf of DarkSide Collaboration
Published: December 2020

This paper presents real-time digital filter algorithms to be applied within dark matter and neutrino measurements. The digital signal processing algorithm implements a trapezoidal pulse-shaper programmed on FPGA at 125 MHz. The real-time filter algorithm enhances the SNR of a digitized signal from a photo detection module (SiPM, cryogenic front-end electronics & 14-bits ADC). The trapezoidal filter upgrades the signal to noise ratio (SNR) from 10.4 to 15.4 with a total increment of 50%. The total on-chip power is 0.198 W.
Detection of Specific Components in a PCA Mixture
Authors: Xie Jin , Zheng Zian , Gao Jian
Published: December 2020

Taking a given mixture as an example, 25,000 samples were selected for the detection of 7 indicators. Firstly, the correlation between each indicator and the test result is analyzed, The T test is used to identify the main indicators that can be used to determine the existence of a specific component. Secondly, three comprehensive indexes are obtained by combining PCA. Determine whether there are specific components in the unknown mixture.
The Role of Vocabulary Mediation to Discover and Represent Relevant Information in Privacy Policies
Authors: Leone Valentina , Di Caro Luigi
Published: December 2020

To date, the effort made by existing vocabularies to provide a shared representation of the data protection domain is not fully exploited. Different natural language processing (NLP) techniques have been applied to the text of privacy policies without, however, taking advantage of existing vocabularies to provide those documents with a shared semantic superstructure. In this paper we show how a recently released domain-specific vocabulary, i.e. the Data Privacy Vocabulary (DPV), can be used to discover, in privacy policies, the information that is relevant with respect to the concepts modelled in the vocabulary itself. We also provide a machine-readable representation of this information to bridge the unstructured textual information to the formal taxonomy modelled in it. This is the first approach to the automatic processing of privacy policies that relies on the DPV, fuelling further investigation on the applicability of existing semantic resources to promote the reuse of information and the interoperability between systems in the data protection domain.
Topic Modelling Brazilian Supreme Court Lawsuits
Authors: Luz De Araujo Pedro Henrique , De Campos Teófilo
Published: December 2020

The present work proposes the use of Latent Dirichlet Allocation to model Extraordinary Appeals received by Brazil’s Supreme Court. The data consist of a corpus of 45,532 lawsuits manually annotated by the Court’s experts with theme labels, a multi-class and multi-label classification task. We initially train models with 10 and 30 topics and analyze their semantics by examining each topic’s most relevant words and their most representative texts, aiming to evaluate model interpretability and quality. We also train models with 30, 100, 300 and 1,000 topics, and quantitatively evaluate their potential using the topics to generate feature vectors for each appeal. These vectors are then used to train a lawsuit theme classifier. We compare traditional bag-of-words approaches (word counts and tf-idf values) with the topic-based text representation to assess topic relevancy. Our topics semantic analysis demonstrate that our models with 10 and 30 topics were capable of capturing some of the legal matters discussed by the Court. In addition, our experiments show that the model with 300 topics was the best text vectoriser and that the interpretable, low dimensional representations it generates achieve good classification results.
Legal Knowledge Extraction for Knowledge Graph Based Question-Answering
Authors: Sovrano Francesco , Palmirani Monica , Vitali Fabio
Published: December 2020

This paper presents the Open Knowledge Extraction (OKE) tools combined with natural language analysis of the sentence in order to enrich the semantic of the legal knowledge extracted from legal text. In particular the use case is on international private law with specific regard to the Rome I Regulation EC 593/2008, Rome II Regulation EC 864/2007, and Brussels I bis Regulation EU 1215/2012. A Knowledge Graph (KG) is built using OKE and Natural Language Processing (NLP) methods jointly with the main ontology design patterns defined for the legal domain (e.g., event, time, role, agent, right, obligations, jurisdiction). Using critical questions, underlined by legal experts in the domain, we have built a question answering tool capable to support the information retrieval and to answer to these queries. The system should help the legal expert to retrieve the relevant legal information connected with topics, concepts, entities, normative references in order to integrate his/her searching activities.
Integrating Domain Knowledge in AI-Assisted Criminal Sentencing of Drug Trafficking Cases
Authors: Wu Tien-Hsuan , Kao Ben , Cheung Anne S.Y. , Cheung Michael M.K. , Wang Chen , Chen Yongxi , Yuan Guowen , Cheng Reynold
Published: December 2020

Judgment prediction is the task of predicting various outcomes of legal cases of which sentencing prediction is one of the most important yet difficult challenges. We study the applicability of machine learning (ML) techniques in predicting prison terms of drug trafficking cases. In particular, we study how legal domain knowledge can be integrated with ML models to construct highly accurate predictors. We illustrate how our criminal sentence predictors can be applied to address four important issues in legal knowledge management, which include (1) discovery of model drifts in legal rules, (2) identification of critical features in legal judgments, (3) fairness in machine predictions, and (4) explainability of machine predictions.
Summarisation with Majority Opinion
Authors: Ray Oliver , Conroy Amy , Imansyah Rozano
Published: December 2020

This paper introduces a method called SUmmarisation with Majority Opinion (SUMO) that integrates and extends two prior approaches for abstractively and extractively summarising UK House of Lords cases. We show how combining two previously distinct lines of work allows us to better address the challenges resulting from this court’s unusual tradition of publishing the opinions of multiple judges with no formal statement of the reasoning (if any) agreed by a majority. We do this by applying natural language processing and machine learning, Conditional Random Fields (CRFs), to a data set we created by fusing together expert-annotated sentence labels from the HOLJ corpus of rhetorical role summary relevance with the ASMO corpus of agreement statement and majority opinion. By using CRFs and a bespoke summary generator on our enriched data set, we show a significant quantitative F1-score improvement in rhetorical role and relevance classification of 10–15% over the state-of-the-art SUM system; and we show a significant qualitative improvement in the quality of our summaries, which closely resemble gold-standard multi-judge abstracts according to a proof-of-principle user study.
Monitoring and Enforcement as a Second-Order Guidance Problem
Authors: Sileno Giovanni , Boer Alexander , Van Engers Tom
Published: December 2020

This paper aims to set up a conceptual framework for studying the second-order guidance problem—that is, designing coordination mechanisms for autonomous actors by means of adequate monitoring and enforcement measures—in a way which is sensible for designers and users of data-sharing infrastructures such as digital market-places. The paper outlines a minimal, but reusable and extensible computational model to test the sustainability of diverse norm implementations, evaluating it against relevant higher-level models presented in the literature.
Dynamics of skin lesions of the lower leg in patients with chronic venous insufficiency after the applications of a non-hormonal anti-inflammatory moisturizer based on naphthalan oil
Authors:   Privolzhsky Research Medical University, Nizhniy Novgorod, Russian Federation, Petrova K.S. , Nemirova S.V. ,   Privolzhsky Research Medical University, Nizhniy Novgorod, Russian Federation, Islamov R.A. ,   Clinical Hospital “RZD-Medicine” of the city of Nizhny Novgorod, Nizhny Novgorod, Russian Federation, Karpenko A.A. ,   Privolzhsky Research Medical University, Nizhniy Novgorod, Russian Federation
Published: December 2020

Background: chronic venous insufficiency with venous hypertension results in skin trophic changes as well as the proliferation and keratinization of epidermal cells that leads to multiple microinjuries. These microinjuries are a portal of entry for secondary infections. A group of medicines, skin protectors, aims to normalize these processes. Medications that improve skin regeneration and also demonstrate anti-inflammatory and antibacterial effects are of particular interest. Aim: to assess the effect of 3% naphthalan cream Losterin on the skin of the lower extremities in patients with chronic venous insufficiency. Patients and Methods: 15 patients (5 men and 10 women, mean age 67.27±1.03 years) were examined. All participants applied Losterin® on the right tibial and foot skin while the left lower limb was the control. Optical coherence tomography (OCT) of symmetrical tibial and foot skin areas was performed before and after one week of the treatment to evaluate its efficacy. The brightness, height, and border sharpness of skin layers as well as blood vessels were assessed. Results: all patients reported on the improvement of dryness, itching, desquamation, and skin elasticity after the topical treatment versus no-treatment. OCT performed after one week of the treatment with Losterin demonstrated less edema, lower height and brightness of the 1st and 2nd optical layers thus illustrating reduced hyperkeratosis. Additionally, reduced stratum corneum thickness was revealed after the topical treatment. Conclusions: Losterin allows for higher efficacy of the complex treatment for chronic venous insufficiency by reducing the risk of skin microinjuries, regenerating the hydrolipid mantle of the skin, and improving physiological desquamation. Moreover, subjective perceptions are fully in line with OCT findings. KEYWORDS: Losterin, skin protectors, optical coherence tomography, trophic ulcers, venous hypertension. FOR CITATION: Petrova K.S., Nemirova S.V., Islamov R.A., Karpenko A.A. Dynamics of skin lesions of the lower leg in patients with chronic venous insufficiency after the applications of a non-hormonal anti-inflammatory moisturizer based on naphthalan oil. Russian Medical Inquiry. 2020;4(10):632–636. DOI: 10.32364/2587-6821-2020-4-10-632-636.
Characterization of the prescription of anxiolytics in institutionalized older adults in the Nursing Home
Authors: Ismary Acosta Martìnez Ismary , Casanova Moreno Maria de la Caridad , Casanova Moreno Daimy , González Casanova Jessica María , Machado Reyes Francisco
Published: December 2020

The objective of this study was to characterize the prescription of anxiolytic medications used in the institutionalized elderly population at the Pinar del Río Nursing Home during 2017. A cross-sectional descriptive study was carried out, with retrospective data collection, on the prescription of anxiolytic medications in the population of institutionalized older adults in the Nursing Home, the form of use of the medications, their indication and prescription with elements of the therapeutic scheme was analyzed and factors that condition prescription habits. We worked with the universe (U = 98) of the study, which was made up of the total number of institutionalized patients who were consuming anxiolytics. Individual medical records were reviewed and a data collection model was created. The drug most consumed by older adults was nitrazepam (41.8%), this in turn being the most consumed by males, not so for females, which turned out to be chlorodiazepoxide (64.6%), the group The most prevalent age group was 60-69 years, likewise widowers and primary educational level, 79.5% of the elderly consume other drugs that have pharmacokinetic interaction. The professional who indicated the most was the family doctor, the prescription and intervals between doses were adequate, the prescription was considered non-rational. The prescription of anxiolytics in the population under study decreases as age increases, the most consumers are those of the male sex and those institutionalized due to family abandonment, this points to the need to continue working from the primary level of care since that is where these elders come from.
Pelibatan Peserta Didik Melalui Metode Tajak Sare dalam Pembelajaran Daring
Authors: Soni Jefri
Published: December 2020

The purpose of the study was to increase the participation of learners in online learning using the tajak sare method. The subject in the study was a learner of MIPA 1's XII class of 26 people. Research design uses a class action research design of as many as 2 cycles. The action that was committed was the ascetic of applying tajak sare methods. This method stands for questioning, correction (reinforcement), information sharing and reps (repetition). The method focuses on the participation of learners on indicators of noticing lessons, asking and answering, giving rebuttals/opinions, and collecting tasks on time. On each cycle consists of 2 learning encounters through video conference. In the first cycle, the learner participation level is only 37.96% classically and it increases to 64.35% in the second cycle. The magnitude of the increase between the two cycles is 26.39%. The results of this study showed that the application of sare tajak methods in online learning through video conferences could improve learner participation
A világjárvány és a hibrid hadviselés egyes összefüggései az álhíresztelések terjedésének tükrében
Authors: Simicskó István
Published: December 2020

A nagyhatalmak közötti versengés egyik legfontosabb eszközévé a hibrid hadviselés vált, amelynek célja a társadalmak meggyengítése közvetlen katonai beavatkozás nélkül. A célpont ország stabilitását a támadó fél a modern tömegkommunikációs eszközöket felhasználva, álhírek terjesztésével, illetve belső ellenzéki csoportosulásokat támogatva igyekszik megtörni. A koronavírus-járvány okozta feszültség a hibrid támadások számára kedvező közeget teremtett. A megnövekedett veszéllyel szemben a társadalmaknak olyan intézkedéseket kell hozniuk, amelyek hosszú távon szavatolják a biztonságukat.
Kriminálpszichiátria – elméleti háttér és gyakorlati hasznosítás
Authors: Haller József , Bellavics Mária Zsóka , Baráth Noémi
Published: December 2020

Pszichiátriai ismeretekre a rendészet már régóta hagyatkozik, a kriminálpszichiátria azonban mint új tudományág csak mostanában van megszületőben. Ebben a tanulmányban amellett érvelünk, hogy a rendőröknek rendelkezniük kell ismeretekkel ezen a téren – nem azért, hogy pszichiáterré váljanak, hanem hogy jobban végezzék munkájukat. Ezt az indokolja, hogy a mentális zavarok nagyon gyakoriak a bűnelkövetők körében, amit a tanulmányba foglalt saját kutatási eredményeink is bizonyítanak. Az alapfogalmak tisztázása után áttekintjük (helyszűke miatt csak nagyon vázlatosan) azokat a rendészeti területeket, amelyekben a pszichiátriai ismeretek segítségére lehetnének a rendőrnek, kihangsúlyozva azt, hogy eddigi oktatási tapasztalataink szerint a rendészeti hallgatók fogékonyak az ilyen ismeretek iránt. A rendőrök kriminálpszichiátriai ismeretei természetesen nem válthatják ki a pszichiáterek munkáját – ez nem is lenne lehetséges –, de professzionálisabbá tehetik a rendőri munkát.
A rendészettudomány határtudományai
Authors: Hautzinger Zoltán
Published: December 2020

E tanulmány abból a hipotézisből indul ki, hogy a rendészettudományra napjainkban egy összetett fogalom alkotható, amely nem egy létező, az állam- és jogtudományok keretei közé szorítja a rendészettudományt, hanem önálló diszciplínaként határozza meg azt. A rendészettudomány emellett manapság inkább olyan alkalmazott tudománynak tekinthető, amelyhez számos tudomány kutatási módszerei és eredményei társulnak. Ebben az írásban ezek tekinthetők a rendészettudomány határtudományainak.
Opportunities and Challenges Towards Data Mining with Big Data
Authors: S V N Madupu Kiran Kumar
Published: December 2020

Big Data Mining is the treatment of analyze large details sets to uncover hidden examples, unknown market patterns, correlations, organisation info, customer dispositions and also other handy information. The mining can motivate to more effective showcasing, better client benefit, edges, boosted functional performance, over challenger associations, brand-new revenue openings and different company benefits. This paper gives the partnership between the challenges in intricate engineering optimization as well as the nature of big data And likewise discusses the chances as well as obstacles towards data mining with big data.
A Survey on Cloud Computing Service Models and Big Data Driven Networking
Authors: Kiran Kumar S V N Madupu Kiran Kumar S x
Published: December 2020

Cloud computing supplies the guarantee of big data implementation to little and also medium sized services. Big Data processing is executed with a programs paradigm called MapReduce. Usually, application of the MapReduce paradigm requires networked attached storage space and parallel handling. The computing demands of MapReduce programming are typically beyond what tiny and also average sized service have the ability to dedicate. In the paper, we briefly went over concerning cloud computing service versions as well as big data driven networking.
Spectrophotometric Determination of Lacosamide in Bulk Drug and Oral Dosage Formulation
Authors: R. Chauhan Vikramsinh , Sharma Deepshikha , B. Vyas Kartik
Published: December 2020

A simple, rapid, cost effective and extractive UV-Vis spectrophotometric method has been developed for the determination of Lacosamide (LA) in bulk drug and pharmaceutical formulation. It was based on UV-Vis spectrophotometric measurements in which the drug reacts chromogenic reagent 4-Chloro-7-nitrobenzo-2-oxa-1,3-diazole in alkaline medium and give stable pale yellow colored complex which exhibits absorption maximum at 420 nm.  Beer’s law was obeyed in the concentration range of 0.04 - 40 μg /ml. This method was tested and validated for various parameters according to ICH guidelines. The proposed method was successfully applied for the determination of LA in oral formulation. The results demonstrated that the procedure is accurate, precise and reproducible (relative standard deviation < 2 %). As it is simple, cheap and less time consuming, it can be suitably applied for the estimation of LA in dosage forms in quality control labs.
GSM Based Security Lock Using Linear Actuator
Authors: Ravindra Y. N. , Konda R. B.
Published: December 2020

Security describes the protection of life and property. There are doors to keep people out, key locks and chain reinforce the mode of security. Doors are being made of metals not wood anymore. Influential persons in our society have bullet proof doors to ensure a good measure of security of self and family. This has brought about the need to review the reliability of already existing systems and look into the possibility of creating better system that are smarter and more secure. The existing system largely consists of physical lock and keys. The problem with existing system is that it can cause security issues with the case of burglaries. The burglar can grapple with vault key and study it which can cause considerable damage to the property and valuable materials in the safe. Also, physically locks can be opened by lock picks. The main idea of designing the GSM based security locking system is to provide many modern security features than manual operated mechanical lock. The proposed locking system uses Microcontroller, GSM modem, switching circuit, relay and Linear Actuator.
Exploring the Potential of ECO Tourism in Junnar Tehsil for protection of Heritage and Biodiversity
Authors: C. Doshi Anurag
Published: December 2020

This research paper is an attempt to analyze and explore the potential of Ecotourism in Junnar Tehsil in Pune District, Maharashtra. Eco tourism is one of the most expeditious growing area of tourism which is magnetizing the tourist all over the world. It involves visiting the places which are proximate to the nature without much perturbing flora and fauna of that region. Its main purpose is to develop awareness about the ecological conservation so that there may be economic development along with the conservation of the environment. It helps the Sustainable development of rural India and gives the opportunity to tourist to get aware with ecotourism in rural areas. Junnar Tehsil in Pune District have many tourist destinations, but still this area is not yet explored as developed tourist destination. The present research paper focuses to draw attention to the potential of ecotourism and exploration of heritages places, conservation of biodiversity and making ecotourism industry as a perspective tool for economic development in Junnar Tehsil.
Lead (Pb) Accumulation in Plants Grown on Contaminated Soil
Authors: M. S. Dagari , H. Badamasi
Published: December 2020

The effects of Pb treatments on Pb uptake by three food crops were investigated in a growth chamber experiment. Pb was added as Pb-acetate at the rates of 0, 200, 1000 and 2000 mg/kg soil. Lead concentrations in some plant parts were influenced more dramatically by soil Pb treatments than levels in other plant sections. Lettuce and carrot roots accumulated markedly higher Pb concentrations than the other plant parts. Since excessive dietary intake of Pb is undesirable, growth of Pb-responsive crops in contaminated soils should be avoided.
Dyeing of wool yarn with natural dyes of Lactarius deliciosus and L. sanguifluus from Turkey
Authors: ÖZDEMİR Halil , BOZOK Fuat
Published: December 2020

In
recent years, the use of synthetic dyes and pigments in textile finishing
companies has been discussed for their harmful effects on human health and
environment. For this reason, the use of plant–based dyestuffs from the nature
has begun to increase because of the biodegradability, non–toxicity, human
health and waste water contamination. Natural dyes are substances synthesized
by some plants, animals, lichens and fungi in nature. Fungal species, including
lichenized fungi have been used as natural colorants in different parts of the
world throughout the history. In this study, natural dyes were extracted from Lactarius deliciosus and Lactarius sanguifluus collected from
Osmaniye province (East Mediterranean region) of Turkey. Wool yarn (for carpet)
was dyed with these natural dyes by using different mordants. CIELab (L*, a*,
b*, c* and h), color differences (ΔE) and color strength (K/S) values of dyed
wool yarns were determined. According to the dyeing results, cream and brown
colors were obtained from L. deliciosus
and L. sanguifluus respectively; the
use of mordant (ferrous sulfate) increased the color strength of dye goods.
This is the first study on dyeing of wool yarns with natural dyes obtained from
L. deliciosus and L. sanguifluus collected from East
Mediterranean (Osmaniye province) of Turkey.
Performansi Alat Penukar Kalor Udara-Tanah Menggunakan Siklus Tertutup di Kota Medan
Authors: Manik Terang , Tulus Burhanuddin Sitorusa  , Andi Syahputra
Published: December 2020

. Upaya menemukan sumber energi alternatif terbarukan akhir-akhir ini semakin gencar dilakukan seiring meningkatnya kebutuhan manusia akan konsumsi energi yang semakin tinggi. Penukar Kalor Udara-Tanah atau Earth-Air Heat Exchanger (EAHE) merupakan salah satu solusi yang dapat dikembangkan dengan memanfaatkan energi yang tersimpan dalam tanah. Penelitian ini dilakukan untuk mengetahui pengaruh kinerja EAHE terhadap penurunan suhu udara yang masuk ke dalam ruangan uji maupun yang keluar, nilai Number of Transfer Unit dan juga nilai Coefficient of Performance pada pipa tanam bawah tanah. Hasil eksperimen menunjukkan bahwa EAHE yang digunakan sebagai pendingin pasif ruangan dapat memberikan kinerja yang cukup baik dengan penurunan suhu di ruangan uji yang mencapai 3–6o C. NTU rata-rata pada tanggal 18 Juni 2019 diperoleh sebesar 1.238, dan tertinggi sebesar 1.254 dengan kecepatan udara 2 m/s. Sementara itu, pada tanggal 19 Juni 2019, di peroleh nilai NTU tertinggi sebesar 1.134 dan rata-rata sebesar 1.129 dengan kecepatan udara 3 m/s. Saat kecepatan udara 2 m/s, nilai COP rata-rata didapatkan 0,258. Ketika kecepatan udara 3 m/s, nilai COP rata-rata didapatkan 0,197.
Perbandingan Tingkat Stres Mahasiswa Empat Angkatan Program Studi Teknik Industri dengan Metode Skoring dari Health and Safety Executive
Authors: Rahdiana Nana
Published: December 2020

Stress can be interpreted as psychological pressure that can cause both physical and mental illness. Stress on students can be anxious or tense that occurs in lectures, work assignments and other academic activities. Stress can influence students in completing their studies. This study aims to determine differences in stress levels between students in 2015, 2016, 2017 and 2018 Industrial Engineering Study Program, University of Buana Perjuangan Karawang in 2019.     This research method is an observational analytic study with approach cross sectional. Data was obtained by distributing questionnaires to 90 student respondents who were divided proportionally per class by following the Slovin formula used was sampling technique simple random sampling. The. This study used the HSE questionnaire instrument, the data were analyzed statistically with the Independent T-test and Anova, as well as the correlation test with the method Point-biserial Correlation from Pearson and Spearmen's Rho.     From the results of this study there are differences in stress levels between students in 2015, 2016, 2017 and 2018, where students in 2015 tend to be low stressed by 50.0%, while the classes of 2016, 2017 and 2018 tend to be moderate stress with a percentage of 55,6%; 65.4%; and 64.7%. Sex, age and work status of students do not affect stress levels, and do not have a significant relationship with stress levels.
Penentuan Interval Waktu Perawatan Mesin Blowing dan Mesin Filling Menggunakan Teori Reliability dan Model Age Replacement (Studi Kasus pada PT. XYZ)
Authors: Prasetyaningsih Endang , Ruchiyat Ilyas , Muhammad Chaznin R.
Published: December 2020

Engine performance will decrease when it is operated continuously so that maintenance is needed. Improper maintenance time intervals can reduce engine reliability and still causes machine damage suddenly. Therefore, maintenance time intervals must be determined precisely. This study aims to determine the engine maintenance time intervals using Reliability Theory and Age Replacement Model, then calculate the total maintenance cost. The result shows that the application of new maintenance time interval increases machine reliability.
Decreasing Total Inventory Cost by Controlling Inventory in Motorcycle Dealer
Authors: David  , Engmir  , Budiman Irwan , Tampubolon Jusra
Published: December 2020

This research was conducted at one of the motorcycle dealers in Indonesia. Besides selling motorcycles, this dealer also provides services to repair motorcycles and sells genuine motorcycle parts. Inventory management which the company carried out is still not good enough because there are still demand for spare parts from consumers that cannot be fulfilled by the company. The purpose of this study is to draw up a plan to control spare parts by paying attention to the spare parts that need to be considered, estimating the exact number of spare parts demand, knowing the smallest total inventory cost, knowing the amount of safety stock needed, and knowing when to reorder. In preparing the spare parts control, the methods used are ABC analysis, demand forecasting method, and EOQ method. The results of this study are plans to control the inventory of Tire, Rr. such as the forecasting sales of Tire, Rr. as many as 17338, economic order quantity of Tire Rr are 2158 units, the number of safety stocks of Tire, Rr. needed in 2020 are 1738 units, and the reorder point in 2020 is 8 times with the total inventory cost for Tire, Rr. in 2020 is Rp. 30,009,005.
Identifikasi Limbah pada Proses Produksi Obat Nyamuk Bakar dengan Menggunakan Material Balance
Authors: Sitepu Muhamad Haikal , Andayani Ulfa , Alda Tania
Published: December 2020

Based on the initial discussion with people form Mosquito coil factory, there is a requirement to calculate the amount of waste from the factory. According to them, several wastes (in the form of liquid and solid waste) are produced in the process of making mosquito coils.  The wastes are often scattered on the floor, causing the condition of the factory space to be unclean or dirty and can cause employees to get sick due to waste scattered on the floor. This research focuses on identifying the waste and to calculate the waste produced by each machine for the production of mosquito coils by using the Material Balance method. Material balance shows a quantitative analysis of material inputs, outputs and wastes / waste at each stage of the production process. Material balance calculation is done in the process of Sifting Coconut Shell Flour, Sifting Process for Coffee Skin Flour, Process for Sifting Wood Flour, Sifting Flour Sifting Process, Onggok Flour Cooking Process, Mixing Material into Mosquito Coe Dough, Mosquito Dough Sifting Process, Forming Process of Paste Paste Plate , The Process of Printing Paste Slabs Into Wet Double Coil, Drying Double Wet Coil Process, Drying and Separation Process of Baking Sheet with Dry Double Coil, Grinding Process of Broken Dry Double Coil, Process of Sifting Sweep Flour Falling on the Floor. Based on the observation, some of the waste obtained from each stage of the production process can be collected again and can be used again as a raw material for making mosquito coils.
A Guerra de Porecatu: Pés vermelhos de sangue em busca de um Eldorado
Authors: Zambolin Rosimeire Aparecida Asunção , Priori Angelo
Published: December 2020

Este estudo de revisão bibliográfica, teve como objetivo a apresentação da Guerra de Porecatu, que ocorreu em meados dos anos 40 e início dos anos 50, e que é considerada de grande importância para História do Paraná e do Brasil, haja vista sua amplitude conceitual passar pela abordagem do conceito de História Regional e ser revelado pela História Nacional na medida em que discorre a respeito do problema da luta pela terra, neste casos envolvendo alguns grupos em especial: os posseiros, os grileiros e os fazendeiros. O trabalho também pode ser visto como estratégia pedagógica, ou seja, uma forma de abordar a construção do conhecimento histórico, e por se tratar de um levantamento teórico de cunho qualitativo, apropriou-se dos resultados dos estudos de renomados autores como o historiador Angelo Priori (2000; 2009; 2011; 2012); dos jornalistas e escritores Oikawa (2011) e Diego Antonelli (2016); do escritor Osvaldo Heller da Silva (2006) e dos escritos da polícia militar do Paraná, a partir das anotações do Capitão Rosa Filho (2003). O resultado revela a possiblidade desse material como conteúdo de História Local e Regional, e da importância de ser revelado aos interessados pela temática, pois, a Guerra de Porecatu foi um movimento de resistência onde trabalhadores foram explorados e expulsos, servindo ao capital, à política da época e aos poderosos latifundiários.
Число случаев диабета типа 1 и 2, диагностированных в Амапа в период с 2007 по 2012 год
Authors: Souza Kauê de Melo , Facco Lucas , Fecury Amanda Alves , Araújo Maria Helena Mendonça de , Oliveira Euzébio de , Dendasck Carla Viana , Souza Keulle Oliveira da , Dias Claudio Alberto Gellis de Mattos
Published: December 2020

Сахарный диабет является последовательность различных типов расстройств в обмене веществ, которые характеризуются вызывая высокий уровень сахара в крови. Потому что это заболевание с генетическими факторами типа 1 диабет имеет в качестве основного фактора риска ее ею, в то время как диабет типа 2, кроме этих факторов, включает ожирение, высокое кровяное давление, плохое образование питания и повышение возраста. Это исследование призвано показать количество случаев диабета типа 1 и 2, диагностированных в Амапа с переменным полом, возрастной группой, малоподвижным образом жизни, избыточным весом, курением, в период с 2007 по 2012 год. Данные исследования были взяты из компьютерного отдела SUS, DATASUS (http://datasus.saude.gov.br). Сахарный диабет 1 типа и 2 (DM1 и DM2) являются заболеваниями, которые связаны с нарушениями в производстве или в эффективном использовании инсулина. Курение, а также малоподвижный образ жизни и избыточный вес являются важными факторами риска для развития DM2. Сахарный диабет 2 типа обеспечивает развитие различных органических поражений нерва. Кроме того, DM2, через свою хронику, позволяет развитие ретинопатии, нефропатии и других условий, негативных для здоровья человека.
Владение, факт и право: аналогия в свете креационизма
Authors: Souza Paulo Felix de , Viana Joseval Martins
Published: December 2020

Эта статья направлена на то, чтобы привнести подход с точки зрения имущественного права и его прямых и косвенных рефлексов в полном осуществлении домена. Зная, что не существует собственности без владения или владения имуществом, в этом контексте было подтверждено, что право собственности и право собственности являются автономными друг для друга, получая дифференцированное обращение из-за его эластичности или сферы, в которой оно подразумевается в других ветвях права. Таковы общие цели, и в этой связи была предложена следующая возможность в отношении конкретной цели: были ли законы вдохновлены светом креационизма? Каковы убытки, связанные с (Законом No 14223/2006) в отношении права на собственность и владение? С учетом гипотезы эта статья стала актуальной по историческому еврейско-христианскому содержанию, уважая свободную воли Духа каждого человека. Таким образом, исследование характеризуется как индуктивный метод, и ничто не мешает интегральности других методов случайными или неаучайными маршрутами. Исследование было в качестве источника ссылок: помощь доктрины, юриспруденции, законов и CF/88. Таким образом, поскольку она не имеет априористической цели, эта статья открыта для будущих исследований.
Nombre de cas de diabète de type 1 et 2 diagnostiqués à Amapá entre 2007 et 2012
Authors: Souza Kauê de Melo , Facco Lucas , Fecury Amanda Alves , Araújo Maria Helena Mendonça de , Oliveira Euzébio de , Dendasck Carla Viana , Souza Keulle Oliveira da , Dias Claudio Alberto Gellis de Mattos
Published: December 2020

Diabète sucré est une succession de différents types de troubles dans le métabolisme qui se caractérisent par la cause d’un taux élevé de sucre dans le sang. Parce qu’il s’agit d’une maladie avec des facteurs génétiques de type 1 diabète a comme principal facteur de risque hérédité, tandis que le diabète de type 2 en plus de ces facteurs, comprend l’obésité, l’hypertension artérielle, une mauvaise éducation alimentaire et l’âge avancé. Cette étude vise à montrer le nombre de cas de diabète de type 1 et 2 diagnostiqués en Amapá avec les variables sexe, groupe d’âge, mode de vie sédentaire, surpoids, tabagisme, entre 2007 et 2012. Les données de la recherche ont été prises auprès du département informatique de SUS, DATASUS (http://datasus.saude.gov.br). Les diabètes sucrés de type 1 et 2 (DM1 et DM2) sont des maladies liées à des perturbations de la production ou à l’utilisation efficace de l’insuline. Le tabagisme, ainsi que le mode de vie sédentaire et l’embonpoint sont des facteurs de risque importants pour le développement du DM2. Le diabète sucré de type 2 fournit le développement de diverses lésions nerveuses organiques. En outre, le DM2, par sa chronicité, permet le développement des rétinopathies, des néphropathies et d’autres conditions négatives à la santé de l’individu.
The Genealogy of Pura Agung Surya Bhuvana in Jayapura, Papua
Authors: Rai I Wayan , Sunartha I Gusti Made , Purnamaningsih Ida Ayu Made , Ruastiti Ni Made , Wafom Yunus
Published: December 2020

Pura Agung Surya Bhuvana in Jayapura is the eastern part of Padma Buana temple. Its establishment was initiated by Balinese Hindus and has become the center of Balinese Hindu socio-cultural activities and an important icon of Jayapura. This article discusses the establishment of Pura Agung Surya Bhuvana from the beginning and its development into the center of Balinese Hindus’ social and cultural-religious activities in Jayapura of Papua. This article based on qualitative research, in which all data was collected through observation, document studies, interviews, and FGD with several members of the pengempon (the temple’s servants) as informants and observers of Papuan culture. Data analyzed descriptively by applying symbol theory and structural-functional theory. The results showed that Hindus established the Pura Agung Surya Bhuvana at Jayapura in 1962. Before, the Hindus of Papua, whose dominantly Balinese migrant, carried out religious activities at Matra’s house. I Made Matra was a civil servant at the Papua Province government office. Over time, the number of Hindus who migrate to the city of Jayapura continues to increase. Therefore in 1979, Hindu leaders in Jayapura built the Pura Agung Surya Bhuvana for the needs of Hindus. Pura Agung Surya Bhuvana was built on Skyline hill in 1982 and it was inaugurated in 1990. In 2012, the Pura Agung Surya Bhuvana was renovated to be more majestic than before, and later on became a center of Hindu worship, the center of Balinese socio-cultural activities, arts center, Hindu religious education centers, and tourist attractions in Papua.
Una blockchain europea per la gestione dei fondi strutturali europei: dallo scenario attuale ad una proposta implementativa
Authors: Simone Cristina , Di Prisco Domenico
Published: December 2020

Il presente lavoro si colloca in un filone di studi destinato ad acquisire sempre più importanza non solo nel dibattito accademico, ma anche in seno alle istituzioni politiche e più in generale nella società civile: il rapporto tra tecnologia e performance del settore pubblico.In particolare, il lavoro discute la proposta della creazione di una blockchain europea per la gestione dei Fondi Strutturali e presenta quindi un set di best practice a supporto della sua ideazione ed implementazione. Due sono i temi alla base del lavoro: 1. i preoccupanti rischi (quali quello di considerevoli  frodi) e le ben note e documentate inefficienze (quali ad esempio le scarse capacità d'impegno e  spesa dei fondi di alcune regioni europee) riscontrati sino ad oggi negli attuali sistemi di finanziamento pubblico, sia nazionale sia europeo, nel gestire e monitorare adeguatamente realtà molto complesse; e 2. le significative potenzialità offerte dalle emergenti tecnologie basate su algoritmi decisionali (di cui le blockchain sono espressione) nel poter risolvere efficacemente e sostenibilmente le suddette fragilità ed inefficienze.Dopo aver individuato e descritto le principali criticità degli attuali sistemi nazionale ed europeo di finanziamento pubblico, il lavoro definisce le principali caratteristiche di una blockchain atta a superare le attuali fallacie e ne discute i potenziali vantaggi applicativi soprattutto in termini di efficienza e trasparenza dei processi decisionali.  Sulla base di un'accurata analisi della letteratura esistente e di eloquenti case study relativi all'applicazione della blockchain nel settore pubblico, il lavoro propone quindi un utile set di best practice per l'implementazione di una blockchain europea, non trascurando tuttavia di segnalarne le potenziali criticità non solo e tanto legate alla fattibilità tecnologica quanto sul piano concettuale e dei giudizi di valore.
Le industry platforms: dalla nascita alla strategia degli ologrammi
Authors: Simone Cristina , La Sala Antonio , Laudando Antonio
Published: December 2020

L'ibridazione delle tecnologie digitali ha reso i confini e le dinamiche evolutive delle industry platforms così sfocati che la letteratura ha introdotto il concetto di industry platforms ecosystem. Analizzando gli sviluppi delle industry platforms, lo studio mira ad approfondire i futuri scenari competitivi, caratterizzati da una concorrenza tra holographic industry platforms. Sebbene negli ultimi vent'anni tale fenomeno abbia acquisito crescente rilevanza, manca ad oggi un framework che evidenzi le proprietà olografiche e le modalità attraverso le quali una industry platform può diversificare il proprio business attaccando ed entrando in nuovi mercati. Con questa lettura olografica si evidenzia la possibilità per la industry platform di diversificare il proprio business attraverso economie di varietà e attraverso logiche dominanti. La ricerca contribuisce studiando le strategie di diversificazione messe in atto dalle industry platforms. Dopo un'ampia revisione della letteratura e con l'obiettivo di evitare che la holographic industry platforms diventi un concetto vuoto, la ricerca discute criticamente il fenomeno attraverso due casi di studio: Google e Amazon.