bluuebunny/crossref_metadata_2025 huggingface dataset:
Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations
Authors: Zhang Manting , Teng Shiwen , Di Di , Hu Xiuqing , Letu Husi , Min Min , Liu Chao
Published: August 2020

Ice clouds play an important role in the Earth’s radiation budget, while their microphysical and optical properties remain one of the major uncertainties in remote sensing and atmospheric studies. Many satellite-based multi-spectral, -angle and -polarization instruments have been launched in recent years, and it is unclear how these observations can be used to improve the understanding of ice cloud properties. This study discusses the impacts of multi-spectral, -angle and -polarization observations on ice cloud property retrievals by performing a theoretical information content (IC) analysis. Ice cloud properties, including the cloud optical thickness (COT), particle effective radius (Re) and particle habit (defined by the aspect ratio (AR) and the degree of surface roughness level (σ)), are considered. An accurate polarized radiative transfer model is used to simulate the top-of-atmosphere intensity and polarized observations at the cloud-detecting wavelengths of interest. The ice cloud property retrieval accuracy should be improved with the additional information from multi-spectral, -angle and -polarization observations, which is verified by the increased degrees of freedom for signal (DFS). Polarization observations at spectral wavelengths (i.e., 0.87 and 2.13 µm) are helpful in the improvement of ice cloud property retrievals, especially for small-sized particles. An optimal scheme to retrieve ice cloud properties is to comprise radiance intensity information at the 0.87, 1.24, 1.64 and 2.13 µm channels and polarization information (the degree of linear polarization, DOLP) at the 0.87 and 2.13 µm channels. As observations from multiple angles added, DFS clearly increases, while it becomes almost saturated when the number of angles reaches three. Besides, the retrieval of Re exhibits larger uncertainties, and the improvement in total DFS by adding multi-spectral, -angle and -polarization observations is mainly attributed to the improvement of Re retrieval. Our findings will benefit the future instrument design and the improvement in cloud property retrieval algorithms based on multi-spectral, -angle, and -polarization imagers.
A Driving and Control Scheme of High Power Piezoelectric Systems over a Wide Operating Range
Authors: Yang Tianyue , Zhu Yuanfei , Fang Zhiwei , Wu Haoyu , Jiang Wanlu , Yang Ming
Published: August 2020

Significant variation in impedance under a wide range of loads increases the difficulty of frequency tracking and vibration control in high-power piezoelectric systems (HPPSs). This paper proposed a wide operating range driving and control scheme for HPPSs. We systematically analyzed the impedance characteristics and deduced the load optimization frequency. In order to provide sufficient drive capability, the inverter combined with an LC matching circuit is configured. With the aid of a transformer ratio arm bridge (TRAB) combined with a proposed pulse-based phase detector (PBPD), the proposed scheme can control the vibration amplitude and keep parallel resonance status under a wide range of loads. Experiments conducted under actual operating conditions verify the feasibility of the proposed scheme under the modal resistance range from 7.40 to 500 Ω and the vibration range from 20% to 100%. Moreover, with the aid of a laser displacement sensor, our scheme is verified to have a vibration amplitude control accuracy better than 2% over a tenfold load variation. This research could be helpful for the driving and control of HPPSs operating in a wide range.
Comparison of Regression and Classification Models for User-Independent and Personal Stress Detection
Authors: Siirtola Pekka , Röning Juha
Published: August 2020

In this article, regression and classification models are compared for stress detection. Both personal and user-independent models are experimented. The article is based on publicly open dataset called AffectiveROAD, which contains data gathered using Empatica E4 sensor and unlike most of the other stress detection datasets, it contains continuous target variables. The used classification model is Random Forest and the regression model is Bagged tree based ensemble. Based on experiments, regression models outperform classification models, when classifying observations as stressed or not-stressed. The best user-independent results are obtained using a combination of blood volume pulse and skin temperature features, and using these the average balanced accuracy was 74.1% with classification model and 82.3% using regression model. In addition, regression models can be used to estimate the level of the stress. Moreover, the results based on models trained using personal data are not encouraging showing that biosignals have a lot of variation not only between the study subjects but also between the session gathered from the same person. On the other hand, it is shown that with subject-wise feature selection for user-independent model, it is possible to improve recognition models more than by using personal training data to build personal models. In fact, it is shown that with subject-wise feature selection, the average detection rate can be improved as much as 4%-units, and it is especially useful to reduce the variance in the recognition rates between the study subjects.
Flexible Ecoflex®/Graphene Nanoplatelet Foams for Highly Sensitive Low-Pressure Sensors
Authors: Fortunato Marco , Bellagamba Irene , Tamburrano Alessio , Sarto Maria Sabrina
Published: August 2020

The high demand for multifunctional devices for smart clothing applications, human motion detection, soft robotics, and artificial electronic skins has encouraged researchers to develop new high-performance flexible sensors. In this work, we fabricated and tested new 3D squeezable Ecoflex® open cell foams loaded with different concentrations of graphene nanoplatelets (GNPs) in order to obtain lightweight, soft, and cost-effective piezoresistive sensors with high sensitivity in a low-pressure regime. We analyzed the morphology of the produced materials and characterized both the mechanical and piezoresistive response of samples through quasi-static cyclic compression tests. Results indicated that sensors infiltrated with 1 mg of ethanol/GNP solution with a GNP concentration of 3 mg/mL were more sensitive and stable compared to those infiltrated with the same amount of ethanol/GNP solution but with a lower GNP concentration. The electromechanical response of the sensors showed a negative piezoresistive behavior up to ~10 kPa and an opposite trend for the 10–40 kPa range. The sensors were particularly sensitive at very low deformations, thus obtaining a maximum sensitivity of 0.28 kPa−1 for pressures lower than 10 kPa.
Control System for Vertical Take-Off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion
Authors: Tang Hongyan , Zhang Dan , Gan Zhongxue
Published: August 2020

Vertical take-off and landing unmanned aerial vehicles (VTOL UAV) are widely used in various fields because of their stable flight, easy operation, and low requirements for take-off and landing environments. To further expand the UAV’s take-off and landing environment to include a non-structural complex environment, this study developed a landing gear robot for VTOL vehicles. This article mainly introduces the adaptive landing control of the landing gear robot in an unstructured environment. Based on the depth camera (TOF camera), IMU, and optical flow sensor, the control system achieves multi-sensor data fusion and uses a robotic kinematical model to achieve adaptive landing. Finally, this study verifies the feasibility and effectiveness of adaptive landing through experiments.
Autonomous Navigation of a Center-Articulated and Hydrostatic Transmission Rover using a Modified Pure Pursuit Algorithm in a Cotton Field
Authors: Fue Kadeghe , Porter Wesley , Barnes Edward , Li Changying , Rains Glen
Published: August 2020

This study proposes an algorithm that controls an autonomous, multi-purpose, center-articulated hydrostatic transmission rover to navigate along crop rows. This multi-purpose rover (MPR) is being developed to harvest undefoliated cotton to expand the harvest window to up to 50 days. The rover would harvest cotton in teams by performing several passes as the bolls become ready to harvest. We propose that a small robot could make cotton production more profitable for farmers and more accessible to owners of smaller plots of land who cannot afford large tractors and harvesting equipment. The rover was localized with a low-cost Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS), encoders, and Inertial Measurement Unit (IMU)s for heading. Robot Operating System (ROS)-based software was developed to harness the sensor information, localize the rover, and execute path following controls. To test the localization and modified pure-pursuit path-following controls, first, GNSS waypoints were obtained by manually steering the rover over the rows followed by the rover autonomously driving over the rows. The results showed that the robot achieved a mean absolute error (MAE) of 0.04 m, 0.06 m, and 0.09 m for the first, second and third passes of the experiment, respectively. The robot achieved an MAE of 0.06 m. When turning at the end of the row, the MAE from the RTK-GNSS-generated path was 0.24 m. The turning errors were acceptable for the open field at the end of the row. Errors while driving down the row did damage the plants by moving close to the plants’ stems, and these errors likely would not impede operations designed for the MPR. Therefore, the designed rover and control algorithms are good and can be used for cotton harvesting operations.
Culture-Led Urban Development vs. Capital-Led Colonization of Urban Space: Savamala—End of Story?
Authors: Jocić Nikola
Published: August 2020

The city quarter of Savamala, as an integral part of Belgrade, has had a very turbulent development path during the last two centuries. This path included several ups and downs, and culminated in tension over the last decade. Savamala fell into silent oblivion in the 20th century, but succeeded in re-emerging into the focus of the public and interest groups, mainly due to the cultural milieu that developed in this area at the beginning of the 21st century. The cultural vibes of the city quarter attracted various urban actors, who created a new image of Savamala. Eventually, cultural functions started to fade; however, after several years and through vague political decisions, Savamala became the part of the largest construction site in Belgrade, the Belgrade Waterfront. This article highlights the development of Savamala in the 2010s—from a forgotten city quarter to a rising cultural quarter and finally to the ’future centre of the city’. This analysis shows the participation of different stakeholders at different stages of development (their influence, power levels, and the mechanisms they used), as well as the footprints that urban development left in the quarter.
Strengthening Congregational Communities: Social Justice Engagement Through Deliberative Dialogue
Authors: Amanda Wilson Harper
Published: August 2020

ABSTRACT

            Christianity and social work have a longstanding history of social justice engagement. However given our current politically-charged society, discussion and engagement in social justice issues are often avoided in congregations because they are seen as divisive. This article discusses the potential impact of implementing public deliberation with pastors and congregations through the lens of two pastors’ experiences, one equipped with deliberative dialogue skills and one who was not. Deliberative dialogue and civil discourse values can positively impact congregational health as the process allows others to share with honesty and vulnerability.  Implementing the process of deliberative dialogue into congregational communities increases the potential for civic capacity when people can trust each other to share their stories, principles, and goals.
Reducing Police Brutality in African American Communities: Potential Roles for Social Workers in Congregations
Authors: Wilson Betty , Terry A. Wolfer
Published: August 2020

In the last decade, there have been a shocking number of police killings of unarmed African Americans, and advancements in technology have made these incidents more visible to the general public. The increasing public awareness of police brutality in African American communities creates a critical and urgent need to understand and improve police-community relationships. Congregational social workers (and other social workers who are part of religious congregations) have a potentially significant role in addressing the problem of police brutality. This manuscript explores and describes possible contributions by social workers, with differential consideration for those in predominantly Black or White congregations.
Organelle Stress and Crosstalk in Kidney Disease
Authors: Hasegawa Sho , Inagi Reiko
Published: August 2020

Organelles play important roles in maintaining cellular homeostasis. Organelle stress responses, especially in mitochondria, endoplasmic reticula (ER), and primary cilia, are deeply involved in kidney disease pathophysiology. Mitochondria are the center of energy production in most eukaryotic cells. Renal proximal tubular cells are highly energy demanding and abundant in mitochondria. Mitochondrial dysfunctions in association with energy metabolism alterations produce reactive oxygen species and promote inflammation in proximal tubular cells, resulting in progression of kidney disease. The ER play critical roles in controlling protein quality. Unfolded protein response (UPR) pathways are the adaptive response to ER stress for maintaining protein homeostasis. UPR pathway dysregulation under pathogenic ER stress often occurs in glomerular and tubulointerstitial cells and promotes progression of kidney disease. The primary cilia sense extracellular signals and maintain calcium homeostasis in cells. Dysfunction of the primary cilia in autosomal dominant polycystic kidney disease reduces the calcium concentration in proximal tubular cells, leading to increased cell proliferation and retention of cyst fluid. In recent years, the direct interaction at membrane contact sites has received increased attention in association with the development of imaging technologies. The part of the ER that is directly connected to mitochondria is termed the mitochondria-associated ER membrane (MAM), which regulates calcium homeostasis and phospholipid metabolism in cells. Disruption of MAM integrity collapses cellular homeostasis and leads to diseases such as diabetes and Alzheimer disease. This review summarizes recent research on organelle stress and crosstalk, and their involvement in kidney disease pathophysiology. In addition, potential treatment options that target organelle stress responses are discussed.
Substitution of Oral for Intravenous Cyclophosphamide in Membranous Nephropathy
Authors: Luzardo Leonella , Ottati Gabriela , Cabrera Jimena , Trujillo Hernando , Garau Mariela , González Bedat Carlota , Coitiño Ruben , Aunchayna María H. , Santiago José , Baldovinos Graciela , Silvariño Ricardo , Ferreiro Alejandro , González-Martínez Francisco , Gadola Liliana , Noboa Oscar , Caorsi Hena
Published: August 2020

Background

Optimal immunosuppressive treatment for membranous nephropathy is still a matter of controversy. Current recommendations include oral cyclophosphamide combined with steroids (modified Ponticelli regimen) as first-line treatment in patients who are high risk. However, concerns about the cumulative toxicity of oral cyclophosphamide persist. In the last 30 years, a protocol based on low-dose intravenous cyclophosphamide plus steroids has been used to treat membranous nephropathy in Uruguay. We aimed to assess the efficacy of this regimen to induce clinical remission in patients with membranous nephropathy.

Methods

In this retrospective, observational cohort study, we analyzed the outcome of 55 patients with membranous nephropathy treated between 1990 and 2017 with a 6-month course of alternating steroids (months 1, 3, and 5) plus intravenous cyclophosphamide (single dose of 15 mg/kg on the first day of months 2, 4, and 6).

Results

At 24 months, 39 (71%) patients achieved clinical response with complete remission observed in 23 patients (42%) and partial remission in 16 (29%). Median time to achieve partial and complete remission was 5.9 and 11.5 months, respectively. Absence of response was observed in 16 patients (29%), five of whom started chronic RRT after a median follow-up of 3.5 years. Clinical relapse occurred in nine of 33 (27%) patients at a median of 34 months after treatment discontinuation.

Conclusions

Replacement of oral cyclophosphamide with a single intravenous pulse on months 2, 4, and 6 of the modified Ponticelli regimen can be an effective and safe alternative for treatment of membranous nephropathy.

Podcast

This article contains a podcast at https://www.asn-online.org/media/podcast/K360/2020_09_24_KID0002802020.mp3
Energy Consumption and Greening: Strategic Directionsfor Pakistan
Authors: Rasiah Rajah , Mubarik Muhammad Shujaat
Published: August 2020

WecomparePakistan's energy consumption structures toselected East Asian economies with a view towards ensuringan adequate supply ofpowerforeconomic catch-up and,at the same time,meeting the greening goalsenvisioned by the United Nations Framework Convention for Climate Change. The evidence shows that Pakistan relies significantly lesson non-renewable energy to meet its energy demandscompared to China, Japan, South Korea, Malaysia, and Thailand,while itsdependence on fossil fuels has been rising rapidly.Usingdata forPakistan from 1960 to 2015, we deployed panel co-integration and Granger causality teststo analyse selected East and Southeast Asian countriesbefore exploring what it will takefor Pakistan to develop itsrenewable energy(RE)sector. The evidence showsthat catching up economically with these countriesthrough rapid GDP per capita growthwill exacerbate Pakistan’scurrent energy imbalance,thereby aggravating greenhouse gas (GHG) and carbon dioxide (CO2) emissions.We argue that Pakistan enjoys strong endowments to avert this problem, and hence, it should strategicallyfocus on the development of RE resources, especially solar and windenergy,but only after taking account the relevant costs.
Maximizing the Impact Spread in Communal Web an Agent Based Proposal
Authors:   Computer Science, Vasavi College Of Engineering , Hyderabad, India., Punnarao V. , Reddy A. Ajay ,   Computer Science, Vasavi College Of Engineering , Hyderabad, India.
Published: August 2020

Communal Impact replicating and maximization has more control over e-business and marketing. Present studies focus mainly on optimization of positive communal impact so as to market products adoptions supported stable web photos. Present procedures just raise impact in communal web briefly term, yet can’t produce sustainable or future results. Inside our proposed system we concentrate on maintaining future impact in communal web also suggest an agent based impact preservation replica which may choose predominant junction supports present reputation within operative communal webs in various measure. Constant impact is achieved more using several pulse pip choices than that of one pulse pip choices. The proposed system automatically keeps enduring impact in order to get impact preservation. It is applicable to achieve durable trade aim.
The Smart Health Care Prediction using Chatbot
Authors:   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India., K Jayashree , K A Monika ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India., R Preetha ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India., S P Piraisoodan ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India.
Published: August 2020

Our healthcare is very much important to lead a peaceful and honest life. If any health issue occurs, we need to go to the hospital and consult the doctor for the very minor problems. our healthcare chatbot is developed to help the people to predict their health issue early at home before they visit the doctor or hospital for the mi nor problems. For the minor issues we are spending lots of costs. The healthcare chatbot is design to reduce such costs and also its improves the efficiency of the medical healthcare. There were many chatbots available they act as a reference for the patient to know more about their health issue. The healthcare chatbot is something different from the other chatbots which predicts the diseases by using symptoms and gives the doctor details to consult the doctor. The healthcare chatbot is developed by using AI in the text to text conversation mode. The user who knows only to write and read can use this chatbot for their minor issue. In this healthcare chatbot, the system predicts the diseases based on the symptom given by the user using the pattern concept in AIML algorithm. The system also predicts the prescription and also give the doctor details to the user based on the diseases predicted for their symptom given. By using this healthcare chat bot people will know the minor diseases at early stage with no costs. Whenever the patient or user gets the time they will consult doctor for their health issue. This will make people to know more about their health issue anywhere at any time.
Biometric Gloves for Health Monitoring
Authors:   Electronics and Communication Engineering, SRM Institute Of Science and Technology, Chennai, India., V Ashwanth , Jain Manan ,   Electronics and Communication Engineering, SRM Institute Of Science and Technology, Chennai, India., Prabhu P. ,   Asst. Prof (OG), Electronics and Communication Engineering, SRM Institute Of Science and Technology, Chennai, India.
Published: August 2020

Global health, defined by the access to healthcare in every region, is symbolized by its demands to be economical and easily accessible. IOT based remote health monitoring system, advancing in the health care sector, is one of the most up-and-coming technological interventions. A serious concern world over, has been perilous work environment that pose health and safety hazards. With the advancements in technology, it is now possible to supervise individual health parameters and provide comprehensive information on health conditions. Users vital information can be monitored from anywhere with access to a specific control centre where the information is stored in real time. In this paper we present a remote health monitoring system that uses an IOT based smart edge technology, where wearable vital sensors transmit data to the cloud using a Wi-Fi module.
The use of Metaheuristic Algorithms in Early Prediction and Forecasting of Flood – A Use of Cuckoo Search Algorithm based Optimization for Flood Controlling
Authors:   Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India. School of Engineering, P. P. Savani University, Kosamba, Surat, India., Gandhi Dr. P. J , Agnihotri Dr. P.G. ,   Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India.
Published: August 2020

Flood is one of the disasters which have multiple impacts on the society and industry. It has severe impacts on the urban economy and has forced the scholars to develop resiliency plans. Various types of flood forecasting techniques developed by the scholars and have certain limitations. There are various types of multiple modeling techniques which are being used for flood controlling and each has certain limitations. The optimization techniques along with the artificial intelligence algorithms can be helpful for monitoring and early prediction of flood. The neural network models promises better accuracy compared to convention models for prediction, but they face great difficulties in selection of appropriate model parameters. In the said context, here an effort has been made to explore the importance of Cuckoo theorem in flood management. The cuckoo search algorithm can be used for parameter tuning. The hybrid approach of using cuckoo search algorithm with neural networks has given far better accuracy compared to standalone algorithms. The use of such Cuckoo Search Metaheuristic algorithm will help us to predict early warning system than any other method and helps us to align the flood controlling activities. The paper presents the used of variants of cuckoo search algorithm for early flood prediction. The paper unfolds major insights of flood scenarios along with the significance of flood control and monitoring.
The Impact of ERP Systems on financial Performance of Central Public Sector Enterprises Working in Mineral and Metal Sector
Authors:   Sri Sri University, Cuttack, India., Behera Rajendra Kumar , Dhal Sunil Kumar ,   Sri Sri University, Cuttack, India.
Published: August 2020

The Central Public Sector Enterprises have been performing vital macroeconomic objectives of a country such as economic growth, development of infrastructure, and contribute to the positive market situation. ERP Systems implementation in CPSEs working in mineral and metal sector enhances the financial performance. Financial indicator like Return on Assets, Return on invested Capital, return on equity, and Return on sale have a significant impact on ERP Adopter when it compares with ERP non- adopter working in mineral and metal sector.
Design of Multi-nodal Li-Fi systems
Authors:   Department of Electronics and Communication, R.V College of Engineering, Bengaluru, India., N Chiranjeevi , Hegde Aditya Shankar ,   Department of Electronics and Communication, R.V College of Engineering, Bengaluru, India., Holla Ravi Shankar ,   Assistant Professor, Department of Electronics and Communication, R.V College of Engineering, Bengaluru, India.
Published: August 2020

Now-a-days, the RF spectrum is used for most of the applications and automation. This is leading to the inadequacy of the RF spectrum for the human and machine requirements. As a solution to this crisis, we have proposed the use of Li-Fi (Light-Fidelity) as an alternate mode of communication. Wireless communication inside buildings and indoors is an important part of the next generation wireless communication system and these concepts can be applied to external wireless communication. Li-Fi provides high data rate (Up to 10 Gbps), improved security and high capacity to support more users. The spectrum bandwidth of light is very large, resulting in accommodation of more number users. A hybrid model of Wi-Fi and Li-Fi increases the advantages and applications, resulting in the best of both communication techniques. This paper describes the hardware implementation of Li-Fi based on IR transmitter and receiver and gives an overview of the signal conditioning for the implementation of a Li-Fi based system. This is followed by the simulation of a Multi nodal Li-Fi based system in MATLAB for determining the coverage, received power, SNR and output signal. With half angle as the variable, the coverage of an entire Multi nodal Li-Fi based system along with signal strength and other parameters can be determined. It also proposes a machine learning algorithm for selecting the best channel by considering factors like the received power, varying noise, etc.
Efficient Machine Learning Techniques to Detect Glaucoma using Structure and Texture based Features
Authors:   Electronics & Communication Department, KLE Dr. M.S. Sheshgiri College of Engg & Technology, Belagavi, Karnataka, India., Vijapur Nataraj , Kunte Srinivasa Rao ,   Electronics & Communication Department, Sahyadri College of Engineering & Management, Mangalore, India.
Published: August 2020

Survey of world health organization has revealed that retinal eye disease Glaucoma is the second leading cause for the blindness worldwide. It is the disease which will steal the vision of the patient without any warning or symptoms. About half of the world Glaucoma patients are estimated to be in Asia. Hence, for social and economic reasons, Glaucoma detection is necessary in preventing blindness and reducing the cost of surgical treatment of the disease. The objective of the paper is to predict and detect Glaucoma efficiently using image processing and machine learning based classification techniques. Segmentation techniques such as unique template approach, Gray Level Coherence Matrix based feature extraction approach and wavelet transform based approach are used to extract these structure and texture based features. Combination of structure based and texture based techniques along with machine learning techniques improves the efficiency of the system. Developed efficient Computer aided Glaucoma detection system classifies a fundus image as either Normal or Glaucomatous image based on the structural features of the fundus image such as Cup-to-Disc Ratio (CDR), Rim-to-Disc Ratio (RDR), Superior and Inferior neuro-retinal rim thicknesses, Vessel structure based features and Distribution of texture features in the fundus images.
Data Pre-Processing on Web Server Access Logs of University for User Interaction Patterns
Authors:   Assistant Professor, Department of CSE, SJB Institute of Technology, Bangalore, India., H K Chaitra , K R Dr. Suneetha ,   Associate Professor, Department of CSE, Bangalore Institute of Technology, Bangalore, India.
Published: August 2020

In the current digital Era, websites are developed and organized into multifaceted in nature. It is essential to distinguish user sessions/intent and browsing behavior from logs in order to recommend appropriate content for the web designers and administrators. This paper focuses on data preprocessing of the weblogs received from Kannada University Hampi, Vidyaranya Karnataka state are cleaned viably by applying various pre-processing methodologies. The work identifies the superior quality of data to discover user interactions, user sessions, the specific web pages, and the regularly visited Uri’s, most visited pages, most time spent on pages and incorrect webpages served to users. These pre-processed webserver access log files will be utilized to discover patterns, fine grained analysis and study. This paper also focuses on challenges of log file analysis.
PEMBATALAN AKTA PERJANJIAN IKATAN JUAL BELI TANAH KAVLING
Authors: Sujono Imam , Irawadi Sugeng , Indradiyasa Setiawan
Published: August 2020

ABSTRAK

Objek pembahasan dalam Tinjauan Yuridis ini adalah Putusan Nomor : 535/Pdt.G/2015/PN.SBY dalam perkara sengketa Pembatalan Akta Perjanjian lkatan Jual Beli No. 33 yang dibuat dihadapan Notaris Wahyudi, SH, tertanggal 15 Februari 2012 setelah Ronawati Wongso sebagai pembeli tanah kavling melunasi pembayaran atas pembelian tanah kavling kepada PT. Darmo Green Land sebagai penjual tanah kavling. Penulisan Tinjauan Yuridis putusan ini menggunakan metode penelitian hukum normatif yang berdasarkan Kepada norma yuridis hukum atas objek yang diteliti mulai duduk perkara sengketa, fakta hukum, pertimbangan majelis hakim sampai dijatuhkan putusan terhadap perkara Pembatalan Akta Perjanjian lkatan Jual Beli. Tinjauan Yuridis ini menekankan bahwa salah satu tugas utama pengadilan yaitu membuat putusan atas sebuah perselisihan yang memberi kemanfaatan terhadap kedua pihak yang berselisih. Putusan yang dijatuhkan idealnya dapat memberikan kemanfaatan secara positif, agar putusan yang dibuat oleh pengadilan mampu menjadi sebuah putusan yang berwibawa dan bijaksana. Hasil penelitian menunjukkan bahwa majelis hakim sangat cermat dan berhati-hati dalam mengambil pertimbangan hukum. Sehingga, putusannya mencerminkan keadilan dan bersesuaian dengan norma hukum yang ada.

 

Kata Kunci : Pembatalan Perjanjian, Akta Perjanjian, Ikatan Jual Beli, Jual Beli Tanah Kavling, Tinjauan Yuridis Putusan

 

ABSTRACT

The object of discussion in this Juridical Review is Decision Number: 535 / Pdt.G / 2015 / PN.SBY in the case of dispute Cancellation of Purchase Agreement No. 33 that was made in front of Wahyudi, SH, as Notary dated February 15, 2012 after Ronawati Wongso as the buyer of land plots settled payment for the purchase of land plots to PT. Darmo Green Land as a seller of land plots. Writing the Judicial Review this ruling uses the method of normative legal research based on the legal juridical norms of the object under study, starting to sit on disputes, legal facts, judges' deliberations until a verdict is handed down on the case of cancellation of the Deed of Sale Agreement. This Juridical Review emphasizes that one of the main tasks of the court is to make a decision on a dispute that benefits both parties. Decisions handed down should ideally be of positive benefit, so that decisions made by the court are capable of being authoritative and wise. The results showed that the panel of judges was very careful and careful in taking legal considerations. Thus, the decision reflects justice and is in accordance with existing legal norms.

 
Key Words : Juridical Review, Cancellation of Purchase Agreement, Legal Research, Decision, Legal Norms
A DIMENSÃO POLÍTICA DO PROJETO PEDAGÓGICO E O TRABALHO DE GESTÃO ESCOLAR
Authors: Ferreira Marilucia Moraes de Paula , Vivaldi Flávia Maria de Campos
Published: August 2020

Entendendo que a responsabilidade em aprender não é somente do aluno, o presente trabalho apresenta ao gestor alternativas de ações que possibilitam categorizar diferentes áreas de atuação, orientando o estudo da realidade escolar para o alcance das expectativas traçadas nos objetivos da instituição. Se ao professor cabe o domínio do conteúdo e a metodologia, ao gestor incumbe o domínio de indicadores da gestão. A finalidade é envolver a comunidade e afetá-la, no sentido de querer fazer para o bem comum. De que maneira o estudo dos valores morais proporciona a coerência entre o político e o pedagógico? Trata-se de pautar a cultura da convivência e do trabalho escolar em valores morais e não somente em prazos de entrega e planos que se distanciam da função política de uma educação comprometida com o desenvolvimento da autonomia.
Gambaran Yang Mempengaruhi Fetal Distress Pada Sectio Caesarea Di RSUD Banyumas
Authors: Daryanti Daryanti , Aprilina Happy Dwi
Published: August 2020

Fetal distress is a disease that is very dangerous for the fetus because it can dispute a dangerous disease. It is a causative factor in which sectio caesarea is taken. Objective To fetal distress in section caesarea in RSUD (Regional Public Hospital) Banyumas. This research is was a Documentation Analysis using a Retrospective approach. The sampling technique with a total sampling of 80 respondents. The analysis was statistical descriptive. Most of the respondents 63 (78.8%) are in the reproductive period, 42 (52.5%) respondents are multipara, 67 (83.8%) respondents are housewives, 68 (85 , 0%) respondents are in gestational age, and 29 (36.3%) respondents are graduated from Junior High School. Most of the inpatients, 25 (31.3%) respondents are patients with undeveloped parturition. Fetal distress in the hospital is mostly caused by five cases, namely undeveloped parturition, early water break, gestational age of PEB, and irregular DJJ as well as oligohydromion.Keywords: Fetal distress, Sectio Caesarea
Hierarchical classification of time series data aggregation in underwater wireless sensor networks
Authors: Ruby Durairaj , Jeyachidra Jayachandran
Published: August 2020

Environmental fluctuations are continuous and provide opportunities for further exploration, including the study of overground, as well as underground and submarine, strata. Underwater wireless sensor networks (UWSNs) facilitate the study of ocean-based submarine and marine parameters
details and data. Hardware plays a major role in monitoring marine parameters; however, protecting the hardware deployed in water can be difficult. To extend the lifespan of the hardware, the inputs, processing and output cycles may be reduced, thus minimising the consumption of energy and
increasing the lifespan of the devices. In the present study, time series similarity check (TSSC) algorithm is applied to the real-time sensed data to identify repeated and duplicated occurrences of data for reduction, and thus improve energy consumption. Hierarchical classification of ANOVA
approach (HCAA) applies ANOVA (analysis of variance) statistical analysis model to calculate error analysis for realtime sensed data. To avoid repeated occurrences, the scheduled time to read measurements may be extended, thereby reducing the energy consumption of the node. The shorter time
interval of observations leads to a higher error rate with lesser accuracy. TSSC and HCAA data aggregation models help to minimise the error rate and improve accuracy.
PACIFIC COD OF THE KURIL ISLANDS: STOCK AND CONTEMPORARY FISHING
Authors: Zolotov Aleksandr , Antonov Nikolay , Maznikova Olga
Published: August 2020

The paper analyzes the long-term dynamics of stocks and annual catches

of Pacific cod of the Kuril Islands, and also considers the structure of its

modern fishery, taking into account the changes that have occurred in the

organization of its coastal fishing in recent years. It was shown that the

dynamics of commercial biomass of Pacific cod in the Northern and Southern

Kuril Islands is comparable to that in 1975-2020 for groups in the southeastern

part of the Bering Sea, the Karagin and Olyutor bays, on the shelf of Western

Kamchatka, and in south-western Sakhalin. Development of the cod fishery in

the North and South Kuril Islands in 1980-2019 went in accordance with the

dynamics of stocks, the maximum catches were observed during the period

of a high level of abundance of both groups in the 1980s. While the structure

of the cod fishery on the shelf of the Northern Kuril Islands to date can be

considered established, the development of fishing in the South Kuril Islands

in the last two decades went by the gradual replacement of trawl fishing in the

winter-spring period with snorkeling in the summer season.
Closed-Horizontal Rotating Burner Development for Optimizing Plam Shell Charcoal (PSC) Production
Authors: Feriyanto Dafit , Zakaria Supaat , Alva Sagir , Pranoto Hadi , Sudarma Andi Firdaus , Wong Albert Phak Jie
Published: August 2020

Activated Carbon (AC) was produced through several stages such as carbonization, crushing and activation process. The critical part of AC production was located at carbonization process due to burner issues that need to complete burning in short time, appropriate temperature and low cost. Therefore, this research focus on developing burner which called by closed-horizontal rotating burner. The dimension of the burner was 65 x 790 mm (D x L) wih the capacity of 30 kg/carbonization process. This burner need 1 hour for complete burning of palm shell to palm shell charcoal (PSC). Several analysis were conducted such as stress, displacement, factor of safety and thermal analysis. because this burner involved in rotation motion and high temperature operation. Physical properties has been measured which consists of moisture content (3.8-5%), ash content (7.7-8%), volatile content (53.7-56.6%) and fixed carbon content (31.3-34.7%). It can be summarized that this burner was very effective to produce PSC with short time carbonization process, low cost and complete charcoal production.
O elemento janela versus desempenho e conforto térmico: uma sistematização de literatura
Authors: Nico Rodrigues Edna Aparecida , Moura Bussolotti Victor
Published: August 2020

Em 2050 o mundo terá quase 10 bilhões de pessoas e o comprometimento dos limites ecológicos será um problema. O objetivo do artigo foi identificar quais são as características da janela mais abordadas na produção científica internacional, com ênfase na obtenção do desempenho energético da edificação e o conforto térmico. Foram utilizados dados bibliográficos indexados nas bases de dados Scopus, Web of Science e Science Direct. Os procedimentos metodológicos definiram os critérios para a escolha das bases de dados eletrônicas, as estratégias de pesquisa e definição dos descritores de busca e identificaram os parâmetros de relevância dos procedimentos para análise do conteúdo e sua sistematização. As informações obtidas resultaram em 744 artigos relacionados ao objeto de estudo. Para melhor organização dos resultados, a classificação do conteúdo pesquisado foi dividida em duas categorias: os elementos e posicionamento da janela; e os fatores que influenciam no desempenho da edificação. Os resultados mostraram que, dentre os elementos, o tipo de envidraçamento das janelas é o assunto mais estudado, já entre os fatores, o consumo de energia lidera. Tem-se a China como principal país pesquisador sobre o assunto, tendo o Brasil ficado com a 17ª posição. O ano de 2017 apresentou o maior número de publicações.
Activity Monitoring and Unusual Activity Detection for Elderly Homes
Authors: M Liz George , Thomas Dr.Arun , Kappan Marsha Mariya , Tony Judith , Joy Maria
Published: August 2020

The number of older people in different countries are constantly increasing. Most of this people prefer to live independently. Falls may lead to serious injuries and may even cause death of people. As a solution to this problem it is essential to develop a fall detection system. The objective of this project is to identify and detect unusual activity for an elderly person. Individuals spend the majority of their time in their home or workplace and many feels that these places are their sanctuaries. The information about the person is stored in a database. So in an emergency situation the neighbor can go through the details of the affected person and he/she can refer all the details about the affected person. A camera is continuously capturing the video of the bedridden person. Machine learning techniques use the information to identify and reason about normal behavior in terms of recognized and forecasted activities. Once the abnormal behavior is identified as a threat, a message is sent to the neighbor or corresponding authorities. In most emergency cases, the elderly patient seek in-patient care, which is very expensive and can be a serious financial burden on the patient if the hospital stay is prolonged, and it won’t be affordable for everyone. The proposed work allows people to remain in their comfortable home environment rather than inexpensive and limited nursing homes or hospitals, ensuring maximum independence to the occupants. Therefore, an affordable and comprehensive healthcare solution with minimal workforce have much importance for longterm health management and population. We make use of Artificial Intelligence, Machine Learning, and computer vision
Analysis of Regional Financial Capabilities In Supporting the Implementation of Regional Autonomy in Toraja Utara District In 2014 – 2019
Authors: Limbong Mariana , . Haliah , Saudi Nur Dwiana Sari
Published: August 2020

This study aims to examine and analyze the level of regional financial capability in supporting the implementation of regional autonomy in the North Toraja Regency in 2014 - 2019. The research method used in this research is quantitative descriptive. This study seeks to calculate, describe and analyze the financial component data of the North Toraja Regency Government. The data analyzed in this study are data sourced from the North Toraja Regency budget realization report in 2014-2019, the North Toraja Regency Locally-generated report in 2014-2019 and the 2014-2019 North Toraja financial report. The results of this study conclude that financial capability does not yet support the implementation of regional autonomy in North Toraja Regency in 2014-2019. This is caused by, among others: (1) The ratio of the degree of fiscal decentralization is very less; (2) the financial dependency ratio is very high; (3) The financial independence ratio is very low and has an instructive relationship pattern; (4) The effectiveness ratio of LGR is less effective; (5) LGR efficiency ratio is less efficient; (6) the ratio of routine ability indexes is very less; (7) Locally-generated revenue (LGR) growth ratio is very volatile.
Spawn Production and Return on Investment of Four Varieties of Mushroom (Pleurotus florida, Pleurotus ostreatus, Ganoderma lucidum and Calocybe indica) Using Sawdust Media
Authors: Bandera Abdani D. , Bandas Jamelah A.
Published: August 2020

The study was conducted to determine the mycelial performance of the four varieties of Mushroom using sorghum grains as sterile media at the Mushroom Research Center (MRC), College of Agriculture, Mindanao State University, Marawi City. In particular, the study aimed to evaluate the length of mycelia, width of mycelia, and its Return on Investments (ROI). Completely Randomized Design (CRD) was used with four (4) treatments replicated three times. Treatments were (T1) Pleurotus florida, (T2) Pleurotus ostreatus, (T3) Ganoderma lucidum, (T4) Calocybe indica. Results of the study showed that spawn production revealed non-significant differences in terms of length and width of mycelia. In terms of its return on investment (ROI), lower ROI was recorded in C. indica.
Lectotypification of the name Stereodon nemoralis Mitt. (Plagiotheciaceae), a basionym of Plagiothecium nemorale (Mitt.) A. Jaeger
Authors: Wolski Grzegorz J. , Faltyn-Parzymska Anna , Proćków Jarosław
Published: August 2020

In 1859, William Mitten described Stereodon nemoralis (≡ Plagiothecium nemorale) based on the gathering of Sir J.D. Hooker from India. However, the protologue did not indicate any specific specimen or illustration. For the past 50 years, the original material (NY 913349) deposited at the NY Herbarium has been considered as the holotype. However, this assumption has since been found to be incorrect, because in the Herbarium of The Natural History Museum exists other original material of this species (BM 1030713), collected by Hooker. In addition, the specimen from NY Herbarium is in poor condition and its most important diagnostic characters are not visible. In contrast, the material from BM Herbarium is in very good condition, and therefore it is herein designated as the lectotype. Also, the paper describes the resolution of this type, a process complicated by changes that had occurred in the provisions of subsequent botanical Codes.
Two new species and a new species record of Aglaia (Meliaceae) from Indonesia
Authors: Pannell Caroline M. , Schnitzler Jan , Muellner-Riehl Alexandra N.
Published: August 2020

Two new species of Aglaia from Indonesia are described, Aglaia monocaula restricted to West Papua, and Aglaia nyaruensis occurring on Borneo (Kalimantan, Brunei, Sabah and Sarawak). A phylogenetic analysis using nuclear ITS and ETS, and plastid rps15-ycf1 sequence data indicates that the two new species of Aglaia are also genetically distinct. Aglaia monocaula belongs to sectionAmoora, while A. nyaruensis is included in section Aglaia. A dichotomous key, drawings and three-locus DNA barcodes are provided as aids for the identification of the two new species of Aglaia. In addition, the geographic range of Aglaia mackiana (section Amoora) is expanded from a single previously known site in Papua New Guinea to West Papua, Indonesia.