bluuebunny/crossref_metadata_2025 huggingface dataset:
Uji Toksisitas Obat dengan Larva Ikan Zebra
Authors: Sudradjat Susana Elya
Published: April 2020

Toksisitas adalah salah satu masalah utama dalam proses pengembangan obat. Kardiotoksisitas, neurotoksisitas dan hepamerupakan alasan utama obat tidak lolos dalam uji klinik atau ditarik dari pasaran. Larva ikan zebra dapat menjembatani antara uji in vitro dan model hewan mamalia mengerat dengan lebih cepat dan ekonomis. Toksisitas organ dapat dideteksi mulai pada tahap larva sehingga dapat diprediksi dengan tepat pengaruh obat tersebut pada manusia. Uji kardiotoksik, neurotoksik dan hepatotoksik dapat dilakukan pada hewan yang sama dengan ketepatan dan ketelitian yang tinggi.
Gambaran Prevalensi Tungau Debu Rumah (Penyebab Alergi dan Asma) di Kelurahan Tanjung Duren Utara Jakarta Barat
Authors: Majawati Esther Sri , Joselyn Kezia
Published: April 2020

Tungau debu rumah (TDR) adalah alergen dalam rumah terbanyak yang tersebar di seluruh dunia dan dikaitkan dengan manifestasi alergi pada saluran pernapasan dan kulit, seperti asma bronkial, rinitis alergi dan dermatitis atopik. WHO memperkirakan 50-80% asma dan rhinitis di dunia disebabkan oleh TDR. Makanan TDR adalah serpihan kulit (skuama) manusia sehingga TDR berhabitat di lingkungan hidup manusia. Penelitian ini bertujuan untuk mengetahui gambaran prevalensi tungau debu dan faktor-faktor yang mempengaruhinya. Desain penelitian ini deskriptif dengan pendekatan cross sectional . Studi ini dilakukan di laboratorium Parasitologi FK UKRIDA, dengan populasi penduduk RW 07, Tanjung Duren Utara, Grogol Petamburan, Jakarta Barat. Simpulan dari penelitian ini menunjukkan prevalensi tungau debu sebanyak 32,69%. Dari faktor-faktor yang diteliti, jumlah penghuni rumah dan frekuensi membersihkan rumah tidak menunjukkan perbedaan pengaruh dalam keberadaan TDR di rumah tinggal. Sementara, adanya binatang peliharaan dan kelembaban rumah atau ruangan menunjukkan pengaruh pada keberadaan TDR di rumah tinggal.
Kajian Efek Rokok Elektrik terhadap Kesehatan
Authors: Sudradjat Susana Elya
Published: April 2020

Terkait dengan banyaknya pro dan kontra mengenai rokok elektrik, tinjauan pustaka ini berusaha mengkaji dampaknya bagi kesehatan. Ada berbagai jenis rokok yang tersedia di pasaran antara lain shisha, cerutu, rokok konvensional, dan rokok elektrik. Banyak pecandu rokok sekarang beralih ke rokok elektrik yang dianggap lebih aman, walaupun efek sampingnya hampir sama dengan rokok konvensional. Diketahui bahwa rokok meningkatkan morbiditas dan mortalitas akibat berbagai penyakit. Karena mengandung banyak zat yang sama, rokok elektrik juga dapat menyebabkan kerusakan organ tubuh dan menyebabkan adiksi. Dengan demikian, penggunaan rokok elektrik tidak dianjurkan..
Bone marrow plasma cell ratio, is it must to evaluate before autologous stem cell transplantation in multiple myeloma?
Authors: Başcı Semih , Yiğenoğlu Tuğçe Nur , Bakırtaş Mehmet , Ulu Bahar Uncu , Şahin Derya , Darçın Tahir , Yıldız Jale , İskender Dicle , Baysal Nuran Ahu , Dal Mehmet Sinan , Çakar Merih Kızıl , Altuntaş Favzi
Published: April 2020

Objective:  Complete remission in multiple myeloma (MM) is a defined as having a <5% bone marrow plasma cell (BMPC) ratio plus negative serum and urine immunofixation tests. However, it is necessary to reassess whether or not the bone marrow plasma cell ratio should be determined before transplantation in secretory multiple myeloma patients. A significant decrease in monoclonal protein levels or having negative serum and urine immunofixation tests after induction therapy might be enough to indicate chemo-sensitivity.

Material and Methods: In this study, the data of 177 multiple myeloma patients that underwent autologous stem cell transplantation (ASCT) in our center were retrospectively evaluated.

Results: We found a statistically significant difference in the post-ASCT response rates between the patients with a pre-ASCT BMPC ratio <5% vs BMPC ratio ≥5% (p:<0.001*). The 2-year progression-free survival (PFS) of the patients with BMPC ratio <5% and ≥5% post-ASCT was found 24% and 25% (median PFS 11 months (95% CI; 6,68-15,31) vs 12 months (95% CI; 9,47-14,53)) respectively (p: 0.900). The 2-year overall survival (OS), was 67% and 63% (median OS 35 months (95% CI; 25,59-44,41) vs 40 months (95% CI; 27,52-52,47)) respectively (p: 0.341).

Conclusion: Patients with decreasing monoclonal protein in serological tests, the pre-ASCT BMPC ratio was not found to have an impact on neutrophil and platelet engraftment durations, transplantation related mortality (TRM), PFS and OS. Our study suggests that in MM patients with measurable disease, it is not required to evaluate the BMPC ratio if serologic response exists.
Fundamental Philosophy of Health and Medical Care would be Hinoharaism
Authors: H Bando
Published: April 2020

Congratulations on the inaugural issue of Journal of Health Care and Research in the Asploro publishing group. In the fields of health and medical care across the world, there have been various clinical practices and research for long time. This journal would be expected to play an important role in further development in the future.
Malaria Vaccine: The Role of Anopheline Saliva
Authors: MNM Hamad
Published: April 2020

Malaria is one of the most spread parasitic diseases in the world, certainly, in tropical areas, it kills millions of people in those parts of the world chiefly pregnant ladies and young children.

Several efforts attempt to control malaria in these areas, but it faced by many factors such as wars, vector resistance to insecticides, poor knowledge and practice of health care workers and the absence of good communications between international organizations and policymakers in that regions.

Many attempts to produce an effective vaccine against malaria failed due to looking to the parasitic cycle from one side and regardless of the sexual cycle within Anopheles mosquito. I suggest that the key to the malaria vaccine starts from the salivary gland of Anopheles mosquito.

This paper is my word to heath organizations and medical research centers to support my view to gain a future vaccine to the malaria parasite.
Dental and Eye Problem of Nepali Older Adults Living in Old Age Home
Authors: HN Chalise , BR Paudel , S Mishra
Published: April 2020

Aging is a lifelong process of growing up and growing old which begins at conception and ends with death [1]. Globally, an elderly subgroup of the population is the fastest growing population than any other age group [2,3]. Ageing has direct and indirect implications for families, health and economics at both micro and macro levels [4]. However, such issues remain relatively under-researched, particularly in poorer and developing countries [5,6]. So, much research in this field from different countries and cultures will help for the possible policy formation for the quality of life of older adults [7].
Recognition Aid for Visually Challenged to Make Out Indoor Environment
Authors: Pandian Pasumpon
Published: April 2020

The applications that are capable of identifying the tangible products and the movement of those product has attained a predominant position in the field of robotics. The complexity in identifying the changes going around is very high on the indoor environments that are too messy. Segregating things and sorting objects in such messy environment becomes even more tedious and challenging for the people with visual disorders. To subdue these issues and enable the blind and the visually challenged to be aware of the changes or the tangible objects they come across in the indoor environment, the proffered method in the paper devise a recognition aid that is empowered with the deep learning neural networks. The usual conventional-CNN is refurbished by upgrading the components to achieve a better accuracy in recognizing. The images based on different scenes of the indoor environment gathered under different circumstance where used as training and the testing dataset for the proffered model and the accuracy and the recognition rate for the training as well as testing was examined.
Real Time Anomaly Detection Techniques Using PySpark Frame Work
Authors: G. Dr. Ranganathan
Published: April 2020

The identification of anomaly in a network is a process of observing keenly the minute behavioral changes from the usual pattern followed. These are often referred with different names malware, exceptions, and anomaly or as outlier according to the dominion of the application. Though many works have emerged for the detection of the outlier, the identification of the abnormality in the multiple source data stream structure is still under research. To identify the abnormalities in the cloud data center that is encompassed with the multiple-source VMWare, by observing the behavioral changes in the load of the CPU, utilization of the memory etc. consistently the paper has developed a real time identification process. The procedure followed utilizes the PySpark to compute the batches of data and make predictions, with minimized delay. Further a flat-increment based clustering is used to frame the normal attributes in the PySpark Structure. The latencies in computing the tuple while clustering and predicting, was compared for PySpark, Storm and other dispersed structure that were used in processing the batches of data and was experimentally found that the processing time of tuple in a PySpark was much lesser compared to the other methods.
Artificial Neural Network Based Power Management for Smart Street Lighting Systems
Authors: S. Dr. Smys , Basar Dr. Abul , Wang Dr. Haoxiang
Published: April 2020

The modern ways to empower the ecofriendly people also insists the necessity to cutting back of energy consumption. The minimizing the energy consumption would in turn reduce the rate of carbon emission, resulting in a cleaner air quality and higher standard of living by paving way for a cleaner planet. The increasing demand on power requirement is also one of the important reason for minimizing the energy consumption. The paper tries to decrease the energy usage of the street light system as the lighting systems in the street does not have an efficient way of managing and controlling the power flow in them as they are incapable of taking into consideration the prevailing demands on the intensity of light. So the paper puts forwards the idea of power management in the smart street lighting to control efficiently the power consumption by comparing the intensity of the light with the weather conditions. The artificial neural networks is used in power management of the street lighting in the proposed method. The evaluation of the method show up with the results that produce the better management of the power and the reduced power usage in street lights.
Remaining Useful Life (RUL) Estimation of Lead Acid Battery using Bayesian Approach
Authors: N. Bhalaji , Chowdhury Rimi
Published: April 2020

This article deals with Remaining Useful Life (RUL) estimation of Lead Acid Battery using a probabilistic approach which is Bayesian inference of Linear Regression. RUL estimation of lead acid battery plays a very crucial role as it can prevent the catastrophic failure for the system in which it is used to serve as a power supply mainly in automobiles. Although there are various methods for age estimation of lead acid battery, machine learning algorithms always played a major role in the same. In this paper we have implemented one such algorithm for the RUL estimation. Bayesian approach is a probabilistic method which can be used for predicting the RUL of the battery. Firstly, we present a framework for feature extraction and then the RUL estimation model is trained on Bayesian inference of Linear Regression. The proposed approach is then applied to the collected dataset from five differently aged batteries which have undergone some charging/discharging and load cycle test. The experiment result shows that the proposed approach can improve the accuracy of RUL estimation than the regular methods.
Assessment of Fire Risk and Forest Fires in Rural Areas Using Long Range Technology
Authors: S. Dr. Smys , S. Raj Dr. Jennifer
Published: April 2020

The occurrences of forest fires is not only a progressing concern in the lives of the people but also in the deterioration of the environment. Since the emergence of the internet of things, new methodologies are being continuously devised to have an early knowledge about the occurrence of the forest fires. The identifying the areas with the fire risks and the intimating it to the public would minimize the death rate caused due to these types of fire accidents. So the paper utilizes the cost- effective network that is centered on long range technology to automatically assess the degree of fire risky and forest fire rural areas and transmit to the website for public vision using the things network server. The proposed method includes many long range nodes and the sensing element to measure the atmospheric changes and the CO2 level in the environment. The long range based sensor network used in the detection of the fire risky and the forest fire areas is evaluated using the network simulator-2 and was found to provide an enhanced service quality by providing a better coverage, battery life, latency, cost and as well as efficiency.
CCTV Surveillance for Unprecedented Violence and Traffic Monitoring
Authors: R. Dr. Dhaya
Published: April 2020

Monitoring of traffic and unprecedented violence has become very much necessary in the urban as well as the rural areas, so the paper attempts to develop a CCTV surveillance for unprecedented violence and traffic monitoring. The proffered method performs the synchronization of the videos and does proper alliance employing the algorithms of motion detection and contour filtering. The steps in motion detection identifies the movement of the objects such as vehicles and unprecedented activities whereas the filtering is used to identify the object itself using its color. The synchronization and the alignment process affords to provide the details of the each objects on the scenario. The proposed algorithm is developed in Java which assists its model using its library that is open source. The validation of the proposed model was carried out using the data set acquired from real time and results were acquired. Moreover the results acquired were compared with the algorithms that were created in the early stages, the comparison proved that the proffered model was capable of obtaining a consecutive quick outcomes of 12.3912 *factor than the existing methods for the resolution of the video used in testing was 240.01x 320.01 with 40 frames per second with cameras of high definition. Further the results acquired were computed to run the application of the embedded CPU and the GPU processors.
IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Authors: REDDY M. RAMANA
Published: April 2020

Air pollution is the largest environmental and public health challenge in the world today. Air pollution leads to adverse effects on human health, climate and ecosystem. Air is getting polluted because of release of Toxic gases by industries, vehicular emissions and increased concentration of harmful gases and particulate matter in the atmosphere. In order to overcome these issues an IoT based air and sound pollution monitoring system is designed. To design this monitoring system, machine learning algorithms K-NN and Naive Bayes are used. K-Nearest Neighbour and Naive Bayes are machine learning algorithms used to predict the status of pollution present in the environment. In this system, analog to digital converter, global service mobile communication, temperature sensor, humidity sensor, carbon monoxide and sound sensors are interfaced with raspberry pi using serial cable. The sensor data is uploaded in thinkspeak (IoT) and webpage. This data is compared with the trained data to check accuracy. To calculate the accuracy of both algorithms, Python code is developed using python software tool.
Performance Evaluation of Game Theory Based Efficient Task Scheduling For Edge Computing
Authors: S. Dr. Smys , G. Dr. Ranganathan
Published: April 2020

The edge paradigm that is intended as prominent computing due to its low computation latencies faces multiple issues and challenges due to the restrictions in the computing capabilities and its resource availability especially in the huge populace scenarios. To examine the problems faced during the task scheduling when the edge computing is called up by multiple users at time, the paper puts forward the game theory approach. Utilizing the game theory strategy the paper puts forth the a novel multi-tasking scheduling in the edge computing from the user perception developing an algorithm taking into consideration the consistency of the stable tasks. The analysis of the proposed algorithm used in the allocation of the tasks is done on terms of average time consumed for the execution of the task and the waiting time. The results acquired showed that the proposed method provides a maximized throughput, minimizing the waiting time compared to the conventional methods used in optimizing the parameters of scheduling.
Metaheuristics Optimizations for Speed Regulation in Self Driving Vehicles
Authors: Prof. Sathish
Published: April 2020

The speed regulation becomes an important necessity in the self –driving vehicles that are engaged in various driving chores. It prevails as a prominent area of research from the past decades, proportional, integral and the derivative controllers play significant role in regulating the movement velocity of the vehicles as perfect adjustments of the parameters linked with the controller could afford to provide a proper speed regulation. But the attaining a perfect adjustments in the parameters are highly tedious. To attain a proper speed regulation in the self-driving vehicles, the paper attempts to utilize the metaheuristics algorithms for optimizing the parameters and minimizing the errors associated with its attributes. A regulating function to fine tune the proportional derivative and the integral controller parameters is formulated in the proffered method and the proper adjustment is achieved utilizing the heuristic optimization. Triple algorithms, genetic (Ge-Al), memetics (Me-Al) and adaptive direct search based on mesh (M-ADS) is used in the proffered method to carry out the optimizations. The results on applying the proposed optimization techniques proves to be more accurate compared to the conventional optimization techniques that were employed in adjusting the absolute error that is integral and the minimizing oscillatory performances and the performance index.
Soft Computing Strategies for Optimized Route Selection in Wireless Sensor Network
Authors: Haoxiang Dr. Wang , S. Dr. Smys
Published: April 2020

The routing in the wireless sensor networks has significant part in enhancing the functioning of the network as the improper routing methodologies and the routing deteriorates the energy of the sensor networks, affecting the lifespan of the network, leading to link failures and the connectivity problems. The necessity to improve the network performance is the main focus of the paper, so the paper presents the performance analysis of the evolutionary algorithms such as Genetic Algorithm, Ant lion optimization, Particle swarm optimization and Ant colony optimization and evaluates the routes obtained using the fuzzy Petri Net model, to find out the optimal route for the wireless sensor networks. The simulation through the python in terms of the some resource validates the optimal path in terms of energy, network life time and the packet delivery ratio.
5G Systems with Low Density Parity Check based Chanel Coding for Enhanced Mobile Broadband Scheme
Authors: Zong Chen Dr. Joy Iong
Published: April 2020

The 5G mobile communication standard based radio access technology (RAT) is analysed for implementation of several candidate coding schemes in this paper. The third generation partnership project (3GPP) in the 5G scenario based on the Enhanced mobile broadband (eMBB) scheme is considered. Factors like flexibility, complexity of computation, bit error rate (BER), and block error rate (BLER) are considered for the purpose of evaluation of the coding schemes. In order to evaluate the performance various applications and services, a suitable set is of parameters are provided. The candidate schemes considered for this purpose are polar codes, low density parity check (LDPC) and turbo codes. Fair comparison is performed by investigation of block lengths and obtaining suitable rates by proper design. In an additive white Gaussian noise (AWGN) channel, the performance of BLER / BER is obtained for diverse block lengths and code rates based on simulation. The simulation results show that the performance of LDPC is relatively efficient for various code rates and block lengths despite the better performance of polar codes at short block lengths. As an added advantage, LDPC codes also offer relatively low complexity.
Decision Tree Based Interference Recognition for Fog Enabled IOT Architecture
Authors: S. R. Dr. Mugunthan
Published: April 2020

The cyber-attacks nowadays are becoming more and more erudite causing challenges in distinguishing them and confining. These attacks affect the sensitized information’s of the network by penetrating into the network and behaving normally. The paper devises a system for such interference recognition in the internet of things architecture that is aided by the FOG. The proposed system is a combination of variety of classifiers that are founded on the decision tree as well as the rule centered conceptions. The system put forth involves the JRip and the REP tree algorithm to utilize the features of the data set as input and distinguishes between the benign and the malicious traffic in the network and includes an decision forest that is improved with the penalizing attributes of the previous trees in the final stage to classify the traffic in the network utilizing the initial data set as well as the outputs of the classifiers that were engaged in the former stages. The proffered system was examined using the dataset such BOT-Internet of things and the CICIDS2017 to evince its competence in terms of rate of false alarm, detection, and accuracy. The attained results proved that the performance of the proposed system was better compared to the exiting methodologies to recognize the interference.
Enhancing Security Mechanisms for Healthcare Informatics Using Ubiquitous Cloud
Authors: Kumar Dinesh , S. Dr. Smys
Published: April 2020

The most vital chores of the health care is the proper attention and sharing of the information’s about the patients record maintained whenever it is needed. The failure in proper maintenance of the patient’s particulars and proper sharing of information’s when required would lead to loss of privacy and reliability resulting in the inert and severe effects on the particulars of the patients as well as their lives respectively. So securing of the health care particulars in electronic form becomes a very important necessity nowadays. The constant monitoring of the centralized storage of health records that are prone to security threats are very difficult. So the paper puts forward a block chain technology to safeguard the reliability of the information’s stored and utilizes the digital signature with authentication to protect the private information’s in the patient’s record developing a model utilizing the cloud that enables the authenticity and the reliability of the information. The model put forth in the paper was examined and compared with the traditional techniques used for storing the medical records, on the terms of reply time, along with the cost of storing and retrieving.
Machine Learning Based Resourceful Clustering With Load Optimization for Wireless Sensor Networks
Authors: S. Raj Dr. Jennifer
Published: April 2020

The sensors grouped to gather to form the network of their own, in the wireless medium and communicating to the each other over radio, faces issues that leads to failure in continuous communication, causing miss communication as it is powered by batteries with limited energy availability So it becomes essential to device a perfect routing scheme that is energy efficient. Though the clustering approach was found to be highly efficient to manage the transmission from source to the target. The elected head in each cluster has to take the entire load on it as it has to gather all the data and transmit it to the base station. So it was necessary to balance the load in the network formed using the sensor and communicating in wireless medium. The GWO (Grey Wolf Optimization)-PSO (Particle Swarm Optimization) based clustering is followed in the paper to have a perfect clustering with balanced load as well as energy efficient optimization. The method followed in the paper was simulated using the network simulator-Two to identify the performance improvements in the sensor networks communicating in wireless medium.
Środki ochrony indywidualnej personelu medycznego w warunkach pandemii COVID-19
Authors: Michalski Aleksander , Bielawska-Drózd Agata , Pinkas Jarosław , Kocik Janusz
Published: April 2020

Ochrona personelu przez zastosowanie sprzętu zapewniającego osobistą barierę fizyczną jest jednym z krytycznych elementów zwalczania zagrożeń epidemicznych. Ograniczone zasoby kadrowe wykwalifikowanych specjalistów: ratowników, lekarzy, pielęgniarek oraz diagnostów sprawiają, że zabezpieczenie ich działania jest nieodzownym elementem utrzymania ciągłości systemu służby zdrowia w okresie epidemii. Wobec niewystarczających możliwości zaopatrzenia racjonalny dobór środków nie może stanowić nadmiernego kompromisu z bezpieczeństwem. Powinien być jednocześnie oparty na wiedzy naukowej, bazującej na faktach. Jednakże wobec nagłego, nadmiernego obciążenia i niestabilności łańcucha dostaw należy także wziąć pod uwagę ergonomię pracy oraz koszty. Celem niniejszej pracy jest omówienie aktualnych międzynarodowych wytycznych (WHO i ECDC), ocena zakresu rzeczywistego ryzyka zdrowotnego dla personelu medycznego i innych służb, pracowników kluczowych gałęzi gospodarki, a także ogólnej populacji, powodowanego przez rozprzestrzeniającą się epidemię COVID-19. Utrzymujemy, że precyzyjne planowanie zużycia oraz szkolenia personelu jak i również podnoszenia świadomości populacji ogólnej co do sposobów ochrony osobistej dostosowanej do poziomu ryzyka, pozwalają na racjonalne wykorzystanie ograniczonych zasobów zarówno przez personel medyczny, jak i przez innych kluczowych pracowników oraz elastyczne reagowanie na zmieniającą się sytuację.
Regional Language Mini Poster as an Alternative Media for Health Promotion Hand Hygiene
Authors: Andriani Yunik , Suwarni Linda , Arfan Iskandar
Published: April 2020

The incidence of diarrhea in Prosperous Village has increased from year to year. One effort to prevent diarrhea is to wash hands with soap and running water after defecation, before preparing food, and before eating. This study aimed to look at the effectiveness of regionally-colored mini posters on the compliance of mothers washing their hands in Sejahtera Village. A quasy experimental design (quasy experiment) non-equivalent control group was used. The research sample of 30 people taken by quota sampling technique. The statistical test used was the T-Test and the Kruskall-Wallis Test with a 95% confidence level. The results showed there were significant differences in compliance of mothers washing their hands with soap and running water in the experimental group mounting regional-language mini posters and soaps, installing local-language mini posters only, and the control group at the time after defecation, before preparing food, and before eating between before and after the intervention (p value <0.05). The mini-poster media in local languages ??is effective in increasing compliance with mothers washing their hands. Regional language poster media can be an alternative in health promotion media for the prevention of primary disease.
Kegiatan Marketing Public Relations dalam Mempertahankan Citra Perusahaan
Authors: Afnan Dikhorir , Fathurrohman Fathurrohman
Published: May 2020

Lazim yang terjadi di banyak organisasi, kompleksitas permasalahan yang dihadapi organisasi mengharuskan kegiatan komunikasi publik ataupun komunikasi massa berjalan lancar tanpa ada sumbatan informasi. Dalam konteks budaya global dan massif saat ini, tantangan yang paling sering dihadapi oleh divisi public relations adalah menjaga komunikasi antara perusahaan dengan khalayaknya agar dapat terus kondusif. Oleh karenanya sistem komunikasi perlu dibangun dengan baik guna mempertahankan harmonisasi antara perusahaan dengan khalayak. Pada penelitian ini penulis menggunakan pendekatan metodologi kualitatif. Penelitian ini dapat pula disebut sebagai penelitian deskriptif, yaitu penelitian yang lebih mengedepankan narasi dan gambar-gambar sebagai ilustrasi apa yang terjadi di lapangan. Kegiatan public relations merupakan gabungan dari seni dan ilmu sosial lainnya yang dapat mendeteksi gejala yang sedang terjadi dan apa yang akan terjadi di masa mendatang. Adapun kesimpulan dari penelitian ini adalah marketing public relations (MPR) harus memaksimalkan pelayanan dengan cara antara lain membina dan mempertahankan citra perusahaan atau produk barang dan jasa, baik dari segi kuantitas maupun kualitas pelayanan yang diberikan kepada konsumennya.
Urbane Metabolismen
Authors: Strüver Anke
Published: April 2020

Essen (als Nahrungsmittel) und essen (als Tätigkeit) sind in urbanen Kontexten des Globalen Nordens im Laufe der letzten Dekade zu gesellschaftspolitisch relevanten sowie wissenschaftlich zunehmend beachteten Themen geworden, die als Bestandteile routinisierter Alltagspraktiken auf gesellschaftliche und biosozial verkörperte Ungerechtigkeiten verweisen. Aufbauend auf Sapana Doshis Vorschlägen für eine „embodied urban political ecology“ stellt dieser Beitrag den menschlichen Körper in den Mittelpunkt, um Gesundheits- und Umweltgerechtigkeit anhand des sozio-ökonomisch und -kulturell beeinflussten Zugangs zu gutem Essen sowie der biosozialen Materialisierungsprozesse von essen zu adressieren.
Kein Einzelfall
Authors: Rinn Moritz , Wehrheim Jan , Wiese Lena
Published: April 2020

Im Sommer 2019 wird Adel B. im Essener Stadtteil Altendorf bei einem Polizeieinsatz erschossen. Zuvor hatte er angekündigt, sich selbst töten zu wollen. In der Presse wird er als „Deutscher mit algerischen Wurzeln“ beschrieben. Sein Wohnort Altendorf gilt als problematisches und gefährliches Viertel und wird entsprechend polizeilich bearbeitet. Polizei und Stadtpolitik in Essen bagatellisieren die Erschießung als Einzelfall, polizeiinterne Ermittlungen gegen einen Polizisten erkennen Nothilfe. Angehörige, Nachbar*innen und Aktivist*innen dagegen organisieren Proteste und fordern „Gerechtigkeit für Adel“. Wir argumentieren, dass sich in der Erschießung des Bewohners eines ‚Problemquartiers‘, eines Mannes mit zugeschriebenem Migrationshintergrund, der sich in einer psychischen Notsituation befand, verschiedene polizeiliche Selektivitäten auf fatale Weise verbinden. Basierend auf eigenen qualitativen Forschungen in Altendorf rekonstruieren wir, wie sich hier alltägliche und institutionalisierte Rassismen zu einem spezifischen sozialen Klima verdichten. Wir beleuchten, wie in dieser lokalen Konstellation rassistische Polizeipraktiken verleugnet werden. Gleichzeitig plädieren wir dafür, dass kritische Stadtforschung an der Dokumentation, Sichtbarmachung und Kritik rassistischer Polizeigewalt aktiv mitarbeiten sollte, um die öffentliche Anerkennung der Existenz institutionalisierter polizeilicher Rassismen zu stärken und dadurch daran mitzuwirken, die Artikulationsräume für Betroffene zu verbreitern.
Münchens sozial-ökologische Stadtentwicklung zwischen Anspruch und Wirklichkeit
Authors: Geiselhart Klaus
Published: April 2020

In zwei städtebaulichen Entwicklungsprojekten der Stadt München wird eine Verbindung von ökologischem und sozialem Bauen umgesetzt. Dieser Beitrag stellt diese Projekte kritisch vor und fragt nach deren Bedeutung für die Münchner Stadtentwicklung sowie nach möglichen Implikationen für die kritische Stadtforschung.
Klimagerechtes Wohnen? Energetische Gebäudesanierung in einkommensschwachen Quartieren
Authors: Weißermel Sören , Wehrhahn Rainer
Published: April 2020

Sowohl aktuelle städtische Klimapolitik, als auch klimaaktivistische Bewegungen weisen energetischer Gebäudesanierung einen hohen Stellenwert zu. Hinweise auf die sozialräumlichen Implikationen verstärkter energetischer Sanierung finden sich jedoch zumeist weder auf städtischer, noch auf klimaaktivistischer Seite. Sowohl aktuelle städtische Klimapolitik, als auch klimaaktivistische Bewegungen weisen energetischer Gebäudesanierung einen hohen Stellenwert zu. Hinweise auf die sozialräumlichen Implikationen verstärkter energetischer Sanierung finden sich jedoch zumeist weder auf städtischer, noch auf klimaaktivistischer Seite. Gleichzeitig wächst in vielen Mieter_inneninitiativen die Skepsis gegenüber energetischer Sanierung und damit einhergehenden Belastungs- und Verdrängungseffekten. Am Beispiel der Stadt Kiel und dem einkommensschwachen Stadtteil Gaarden diskutiert dieser Beitrag die Konfliktfelder, die durch eine stadtpolitisch motivierte, aber privatwirtschaftlich umzusetzende energetische Sanierung entstehen. Diesen Konfliktfeldern liegen strukturelle Probleme zugrunde, die im Rahmen aktueller und zukünftiger energetischer Sanierungsbemühungen existierende Verarmungs- und Verdrängungsdynamiken auf Quartiersebene verstärken. Dieser Beitrag plädiert daher für die konzeptionelle Verknüpfung sozialer und ökologischer Bedürfnisse im Sinne klimagerechten Wohnens sowohl auf akademischer als auch auf aktivistischer Seite.
A Taxonomia SOLO nas teses e dissertações defendidas em Programas de Pós-Graduação no Brasil
Authors: Guedes Ferreira Francisco Fialho , Pessoa Chaves Rocha Maria Lúcia
Published: April 2020

A Taxonomia SOLO (TS) tem uma diversidade de aplicações dentro das mais várias áreas de estudo, a qual pode ser muito utilizada, como por exemplo, para avaliar a qualidade da aprendizagem, objetivos curriculares, categorização de questões, ou ainda para categorização de respostas. Desse modo, o objetivo deste artigo consiste em verificar como essa teoria vem sendo utilizada pelos pesquisadores brasileiros nas últimas décadas. Para desenvolvereste texto, buscamos no catálogo de teses e dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) e na Biblioteca Digital de Teses e Dissertações (BDTD) pesquisas que utilizaram a TS e foram desenvolvidas em Programas de Pós-Graduação no Brasil. Nessas condições, observamos que apenas 12 dissertações foram defendidas no período de 2006 a 2019, não constando nenhuma tese. Por meio da leitura dos resumos, observamos que os objetos de pesquisa desses trabalhos foram alcançadosutilizando a TS como ferramenta metodológica. Diante do exposto, podemos inferir que essa teoria tem um leque diversificado de possibilidades de utilização nas várias áreas de estudo, que se levada em consideração pode ser muito útil, como exemplo, para a educação, a ciências exatas, dentre outras.
Associação entre frequência de constipação e desfecho clínico em paciente crítico.xxx
Authors: de Araújo Camila Melo , Olinto Edcleide Oliveira dos Santos , Feitosa Gina Araújo Martins , da Costa Izaura Odir Lima Gomes , Barbosa Janine Maciel , Targino Ericka Vilar Bôtto , de Sousa Paloma Egídio Andrade
Published: May 2020

Introduction: Constipation is a common complication in critically ill patients hospitalized in an intensive care unit (ICU) due to some triggering factors such as: bed limitation, use of sedatives and opioids, vasoactive drugs, inflammatory mediators, etc. to a worse prognosis. Methods: A quantitative and descriptive study was conducted on adults of both genders hospitalized in the ICU of a university hospital from March to December 2018. Variables were collected from evaluation and nutritional monitoring forms, including: gender, age, length of ICU hospitalization, date of discharge or death. The presence of intestinal constipation (absence of bowel movements> three days) was evaluated. After collection, the data were tabulated in Microsoft Excel software spreadsheets and later analyzed by the Statistical Package for the Social Sciences (SPSS) version 13.0, and the chi-square test was used for statistical difference (p <0.05 to accept the alternative hypothesis). Results: The sample consisted of 116 patients, 46.6% men and 53.4% women, with a mean age of 45 (IR 31-53) years. The occurrence of constipation averaged 47% (target <20%). Regarding the outcome, the group of patients with constipation had higher lethality (27.5% versus 14.5%), but was not statistically confirmed (p> 0.05). Most patients had low nutritional risk (61.5%),
however, those with high nutritional risk (38.5%) had a greater tendency to constipation, but this relationship was not statistically confirmed (p> 0.05). Conclusion: A high frequency of constipation was found in critically ill patients. Constipation appears to be associated with a worse prognosis in critically ill patients and is essential to identify and treat. Given this result, it is necessary to create protocols and action plans for the prevention and treatment of this disorder in intensive care units.
Deficiência de ferro em obesos acompanhados ambulatorialmente no pré-operatório de cirurgia bariátrica
Authors: de Oliveira Ítalo José Lemos , Benjamim Raquel de Arruda Campos , Meneses Thayanne Breckenfeld , Costa Ana Jessyca da Silva , Pereira Jarson Pedro da Costa , do Lago Amanda Braz , Ferraz Jerluce Alvares , Burgos Maria Goretti Pessoa de Araújo
Published: May 2020

Introduction: Obesity is an internationally health crisis. The bariatric surgery offers treatment to reduce body weight, induce remission of obesity-related diseases and improve quality of life. Nutritional deficiencies may have been installed even before surgery, and preoperative anemia is an independent risk factor. Thus, the present study aims to evaluate iron deficiency in obese candidates for bariatric surgery, attending a nutrition ambulatory of a university hospital in Recife/Brazil. Methods: Cross-sectional, descriptive study. The patients were evaluated according to sex, age, weight, body mass index (BMI), iron and ferritin levels. Iron deficiency was classified by
levels <50 Ug/dl and <65 Ug/dl for women and men, respectively. The ferritin levels classified as deficient were those below 15 ng/ml for both sexes. Data collection was performed from May 2017 to June 2018, using data from nutrition setting’s monitoring forms. Data were tabulated and analyzed using Microsoft Excel software version 10. Results: 75 patients were included, with prevalence of women (85.3%), mean BMI of 47.99 ± 7.56 kg/m2. The means of serum iron (n = 70) and ferritin (n = 60) were 76.33 ± 37.06 Ug/dl and 160.82 ± 159.43 ng/ml, respectively. There was a high prevalence of serum iron deficiency (62.9%); however, ferritin was deficient in
only 1.7% of the study population. Conclusion: This study observed an important presence of iron deficiency in the group of obese patients evaluated, with the greatest sensitivity being detected by means of serum iron. The biochemical evaluation of the patient who will be submitted to the bariatric procedure is important, in order to avoid health issues and postoperative complications, thus helping in their recovery.
Pengaruh Biaya Acrual dan Discretionary terhadap Nilai Perusahaan Manufaktur di Bursa Efek Indonesia dengan Good Corporate Governance sebagai Variabel Moderating
Authors: Sinurat Mangasi , Ilham Rico Nur
Published: April 2020

Fleksibilitas yang dimiliki perusahaan untuk memilih metode akuntansi yang digunakan dalam penyusunan laporan keuangan sering digunakan oleh manajer untuk mencapai kepentingan mereka sendiri. Pilihan metode akuntansi yang disengaja dikenal sebagai manajemen laba. Manajemen laba perusahaan ditujukan untuk investor agar investor membeli saham perusahaan sehingga nilai saham akan meningkat yang akan meningkatkan nilai perusahaan juga. Manajemen laba dapat diminimalisir dengan menerapkan tata kelola perusahaan yang baik melalui praktik tata kelola perusahaan yang baik seperti komposisi komisaris independen, kualitas audit, kepemilikan institusional, kepemilikan manajerial, dan komite audit. Penelitian ini menguji pengaruh biaya akrual diskresioner dan diskresioner terhadap nilai-nilai perusahaan dengan tata kelola perusahaan yang baik sebagai variabel moderasi dalam perusahaan sektor manufaktur di indonesia. Data yang digunakan adalah data sekunder berupa laporan tahunan dan laporan keuangan perusahaan sektor manufaktur yang dipublikasikan di bursa efek indonesia. Sampel yang digunakan dalam penelitian ini adalah 47 perusahaan dengan periode observasi selama 5 (lima) tahun dari 2014-2018. Analisis yang digunakan dalam penelitian ini adalah analisis regresi linier berganda. Hasil penelitian ini menunjukkan bahwa akrual diskresioner parsial dapat berpengaruh positif pada model 1 dan negatif pada model 2 tetapi tidak signifikan terhadap nilai perusahaan, sedangkan biaya diskresioner memiliki pengaruh positif dan signifikan terhadap nilai perusahaan. Untuk praktik tata kelola perusahaan yang baik, tidak ada praktik yang dapat memoderasi hubungan akrual diskresioner terhadap nilai perusahaan, sedangkan komisaris independen, kualitas audit, kepemilikan institusional, dan kepemilikan manajerial dapat memoderasi hubungan biaya diskresioner dengan nilai perusahaan. Pengaruh biaya akrual diskresioner dan diskresioner secara simultan berpengaruh signifikan terhadap nilai perusahaan dengan nilai koefisien determinasi sebesar 26,1% pada model 1, sedangkan pada model 2, biaya akrual diskresioner dan diskresioner dengan tata kelola perusahaan yang baik sebagai variabel moderasi berpengaruh signifikan terhadap nilai perusahaan dengan nilai koefisien determinasi 83,9%.
Comparison of the Catching Results of Mini One-Boat and Two-Boat Purse Seine in Bali Strait, Muncar, East Java Province
Authors: Ihsan Yudi Nurul , Nita Ulfah Khoirunisa  , Indah Riyantini  , Rahman Elfithri  , Tri Dewi K. Pribadi  , Md Bati Siti Nor Aisyah
Published: April 2020

Mini purse seine has a major contribution in increasing production of small pelagic catches in Pelabuhan Perikanan Pantai (PPP) Muncar, because it has high productivity and the construction made according to catch schooling fish. This research aims to compare the catches composition and catch rate of mini one-boat and two-boat purse seine in Bali Strait, Indonesia. This research was conducted in Mei 2018 in Muncar, East Java, Indonesia. The method used in this research is survey. The primary data are total catch composition, fork length, individual weight of total catch and operation time of both fishing gears. Data were analysed by main catch and bycatch proportion, legal size proportion and catch rate. The results showed that the mini two-boat purse seine had a greater catch volume compared to the mini one-boat purse seine. The bycatch composition dominates in both fishing gear. The proportion of legal-size catching is 67% of the total. The fork length is not significantly different and for the total catches is significantly different. The catching rate of the mini purse seine one boat catch rate is lower at 4,048.67 kg/hour, compared to the mini two-boat purse seine which is 9,189.18 kg/hour.
Subjective Well-being of Indramayu Regency’s Fishermen
Authors: Zuzy Anna  , Rahmahwati Rosidah  , Iskandar  , Achmad Rizal  , Tri Dewi K. Pribadi  , Ihsan Yudi Nurul
Published: April 2020

Fisherman in Indonesia is still dominated by small-scale fishermen or traditional fishermen. This condition is very vulnerable to poverty with condition is identical with low well-being. This research was conducted in Indramayu from February to May 2018 by interviewing 100 fishermen. This study aims to analyze the domain of life satisfaction and subjective well-being of fishermen because prosperity is generally measured objectively through standards made by the government. Structured questionnaires are used to find out whether they are satisfied with their life or not in certain conditions such as satisfaction with fishing gear, government policies, the environment, the relationship between them and others. Life satisfaction domain analysis is used to determine which domain is the most dominant. The method used in this study is a purposive sampling method which is a sample determination technique with certain considerations. Data analysis was performed using descriptive statistics, namely average, standard deviation, and variance. Subjective welfare levels are categorized into four classes, very poor, poor, good, and very good. The results show that Indramayu. Fishermen belong to a very good subjective well-being.

 

Keywords: Subjective Well-being, Fishermen, Fishing Gear, Well-being domain
KONTRIBUSI KONDISI FISIK TERHADAP KEMAMPUAN PASSING BAWAH DALAM PERMAINAN BOLAVOLI PADA SISWA MAN 2 KOTA MAKASSAR
Authors: Herman Herman
Published: May 2020

This study aims to determine the contribution of physical conditions such as arm muscle strength, hand eye coordination and balance to the ability to pass under the volleyball game of MAN 2 Model students in Makassar City. The research method used is descriptive, the research sample of 30 students, the results of this study indicate the contribution of conditions caused by arm muscle strength, hand eye coordination and balance to the ability to the ability to pass underneath in the MAN 2 student volleyball game Makassar City Model has a significant contribution significant between the strength of the arm muscles towards the ability to pass under the game of volleyball, the significant contribution between hand eye coordination to the ability to pass underneath in the game of volleyball, and the significant contribution between the strength of the balance to the ability to pass underneath in the game of volleyball.
Statistical Distribution and Spatio-Temporal Variation of Nutrients in Lower Danube River Waters Between km 375 - km 175 in Relation to Hydrological Regime
Authors: Radu Violeta-Monica , Ionescu Petra , Deak Gyorgy , Diacu Elena , Ciobotaru Irina-Elena , Marcu Ecaterina , Pipirigeanu Mariana
Published: May 2020

Nutrient pollution, a growing problem for most European river basins, is a priority challenge in the Danube River Basin, a river that interconnects freshwater with the marine environment. The nutrient content of the Lower Danube waters in a river area where hydro-technical works to improve navigation conditions were carried out, respectively between km 375 and km 175, was evaluated in conection with other water quality parameters and with the hydrological regime. This paper is based on the data obtained during the period 2011-2017 on water samples taken from 10 sampling sections, and the following parameters were investigated: pH, ammonia nitrogen - NH4-N, nitrites - NO2-N, nitrates - NO3-N, total nitrogen - TN, orthophosphates - PO4-P, total phosphorus - TP, Chlorophyll a - Chl �a�, all of which are correlated with water flow - Q. The results showed a significant correlation between the nutrients content, Chl �a�, and water flow, taking into account both the anthropic and climatic pressures on the aquatic ecosystem and the impact of the water body loads on the Black Sea coastal zone.