bluuebunny/crossref_metadata_2025 huggingface dataset:
THE IMPACT OF INTERNATIONAL TOURIST ARRIVALS ON ECONOMIC GROWTH UNDER DENGUE FEVER RISK IN MALAYSIA
Authors:   Multimedia University, Malaysia, Tan Chuie Hong , Lee See Nie ,   Multimedia University, Malaysia
Published: November 2021

Dengue fever has long been a public health problem in tropical and subtropical countries. The dengue virus is critical problem for international tourists with a rising number of them returning from dengue‐ endemic countries infected with dengue fever. The aim of the study is to examine the relationship between international tourist arrivals on economic growth moderated by the rise in dengue fever cases in Malaysia from 2014 until 2020. This study was carried out using secondary monthly data for dengue fever cases, gross domestic productivity (GDP) data and data on international tourist arrivals in the country. A correlation test was used to determine the correlation between the independent, dependent and moderating variables. The results reveal a significant correlation among dengue fever cases, tourist arrivals and economic growth. In 2017 and 2018, higher international tourist arrivals lead to a lower Malaysian economic growth following a dengue disease outbreak. Furthermore, dengue fever risks show a positive relationship with international tourist arrivals and vice-versa. In line with the government’s strategy to promote the Malaysian tourism industry, some prevention and recovery policies that take into consideration the number of dengue cases and economic factors should be planned.
TURNAROUND MANAGEMENT THROUGH BUSINESS PROCESS RE-ENGINEERING FOR SBH HOTEL, BANDUNG, INDONESIA
Authors:   Bandung Institute of Technology, Stefani Sarah Febe , Priatmodjo K Deddy ,   Bandung Institute of Technology
Published: November 2021

The fact that no company is immune to distress is indicates that business perform in a similar fashion to products. A company’s failures or a passive reaction towards handling the decline would cause the company to end up in crisis. SBH Hotel has seen a continuous decline in occupancy rates from 2016 to 2019 from 70% to 51% and 27% after the COVID-19 pandemic hit. The hotel’s sluggish reaction towards increasing competition and small improvements in management since its establishment in 1998, were not good enough to help them rebound and led them into their present crisis. Turnaround management that has been known to be the best strategy to save a company in crisis, is the proposed solution that this research paper recommends. The financial data collected, interviews and this researcher’s observations in the gathering of the data and the use of International Turnaround Management Standard framework by Lymbersky will be applied in a bid to resolve the hotel’s crisis. The International Turnaround Management Standard framework by Lymbersky was chosen as a solution due to its thorough coverage which makes it the suitable framework for the turnaround process. The framework covers areas which include, financial strategies, operational and others that the hotel needs to consider. Business process re-engineering will also help this researcher to determine the change in management processes that are required when developing the hotel’s turnaround management action plan. This research paper will be a development from previous research regard its marketing strategy. Turnaround management will be done through Business Process Reengineering as a rethinking and redesign process. SBH Hotel expected to perform with better management process and provide customer with higher quality of services and products. SBH Hotel ability in earning outstanding guests’ experience brought hotel more guest loyalty and help the hotel remain profitable.
AN ANALYSIS OF INTENTION TO DO ECOTOURISM IN THE NEW NORM: A COMPARATIVE STRUCTURAL MODEL BETWEEN MALAYSIA AND INDONESIA
Authors:   Universiti Malaysia Terengganu, Farradia Yuary , Muharam Hari ,   Universitas Pakuan, Bogor Indonesia, Azzubaidi Salmah ,   Universitas Pakuan, Bogor Indonesia
Published: November 2021

Tourism contributes to the growth of economy of a nation through employment, the multiplier effect, and foreign exchange earnings. It also contributes towards a positive balance of payments. Eco-tourism is the natural evolution of tourism that cares for the environment, culture and local traditions, while promoting environmental education. The coronavirus (COVID-19) pandemic has had a significant negative effect on the tourism industry in almost all countries in Asia including Malaysia and Indonesia, therefore an analysis of the intention to undertake eco-tourism in the new norm of the post pandemic period is the basis for consideration of this research paper in a bid to turnaround the tourism industry.
FACTORS INFLUENCING TRAVEL BEHAVIOURAL INTENTIONS OF INTERNATIONAL TOURISTS TO SAUDI ARABIA
Authors:   Victoria University, Almadani Nadin , Huong Nguyen Thu ,   Victoria University, Bingley Scott ,   Victoria University
Published: November 2021

This research aims to identify the factors affecting the behaviour of international tourists based on online reviews. To further understand tourist perceptions and opinions from online posts reviews Netnography approach has been implemented. A few studies have used Netnography to investigate online reviews of hotels and restaurants, but there has been limited examinations of online reviews of tourist attractions. To date, no studies have been done on this concerning Saudi Arabia. The OutWit Hub software was used to extract TripAdvisor reviews and content automatically. The data collection focused on attractions (Things To Do) located in Jeddah and Riyadh, the most populated cities in Saudi Arabia with a wide range of attractions and activities, including sights and landmarks, nature parks, and museums. The following approaches were utilised for netnographic analysis: first form the studied culture or group; collect data; analysis and interpretation: report on study findings and comprehend the theoretical consequences. The most significant findings were that the data supported correlations between visitors’ behavioural intentions, travel motivations and experience quality. This research provides evidence that travel motivations and experience quality affect the development of tourist behavioural intentions. This research offers policymakers, destination planners and industry professionals a proper and thorough analysis of tourists’ behaviour and needs.
Aether, Fields & Energy Dynamics in Living Bodies - Part III
Authors:   Department of Radiology, Sparrow Health System, Lansing, MI, Thorp K. E. , Thorp James A. ,   Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Sisters of St. Mary’s Health System, St. Louis, MO
Published: November 2021

Fundamental to the aether concept is seamless unity, a dynamic continuum of cause and effect, mediated by the opposing conjoined force fields that form the basis of action-at-a-distance and simultaneity. All action and reaction, from the macrocosmic level downward into the subatomic domain, is mediated through interactions between the aether-derived forces of magnetism and dielectricity which, in the end, give rise to space and matter.
Impact of Anemia on the School Performance of Students at a Public School in Ceará
Authors:   Centro Universitário Christus – Unichristus - R. João Adolfo Gurgel 133 Zip Code: 60190-180, Oliveira Larissa Albuquerque
Published: November 2021

Anemia is defined as a condition in which hemoglobin levels are below the normal range. Among children and adolescents, iron deficiency is responsible for most cases. Iron is an essential compound for the production of red blood cells and transportation of oxygen, as well as for the integration of the enzymatic systems of different tissues. Patients with iron deficiency anemia may have impaired cognitive, physical and immune development, thus increasing the risk of infections and even death. This is a cross-sectional study to analyze the prevalence of anemia and its impact on school and nutritional performance among elementary school adolescents aged between 10 and 14 years from May 2019 to October 2019.
BIOCHEMICAL PROPERTIES OF ACTINOBACILLUS PLEUROPNEUMONIAE MUSEUM STRAINS
Authors: Andrusevich A. S. , Krasnikova E. L. , Misteyko M. M. , Strelchenya I. I. , Struk M. S. , Malchik O. V.
Published: November 2021

The article provides data on the biochemical properties of museum strains of Actinobacillus pleuropneumoni-ae. The belonging of the strains of Actinobacillus pleuropneumoniae was confirmed in the polymerase chain reaction using the developed RUE «Institute of experimental veterinary medicine nam. of S.N. Wyshelessky» test system for detecting the genome of Actinobacillus pleuropneumoniae.
Urgensi Teknologi Pendidikan Dalam Peningkatan Kualitas Pembelajaran Daring
Authors: Fania Galantri Isra' , Khasanah Ria Nur , Salsabila Unik Hanifah , Azizah Rahma Haifani , Listiyani Anisa
Published: December 2021

Pada masa pandemi covid-19 seperti saat ini telah merubah banyak sector kehidupan manusia, termasuk sektor pendidikan. Banyak sekolah yang mengurangi kegiatan di sekolah atau bahkan sepenuhnya menutup sekolah, hanya melakukan pembelajaran jarak jauh. Oleh karena itu, dengan adanya pembelajaran jarak jauh maka dibutuhkan teknologi yang memadai serta sumber daya manusia yang memiliki kompetensi. Penelitian ini bertujuan untuk mengetahui apa itu teknologi pendidikan, bagaimana teknologi berperan dalam pendidikan, apa saja kendala dalam penerapan teknologi pendidikan serta bagaimana pemanfaatan teknologi di sekolah terutama pada mas pandemi covid-19. Dalam penelitian ini penulis menggunakan metode kualitatif (studi pustaka dan wawancara), dalam pengumpulandata penulis mecari beberapa sumber bacaan yang sesuai dengan topik pembahasan, baik itu dari internet, jurnal online maupun buku. Kemudian penulis melakukan wawancara kepada salah satu guru di SDN Bojong melalui forum virtual. Dari hasil wawancara tersebut dapat diketahui bahwa pemnafaatan teknologi di SDN Bojong beleum efektif, masih banyak kendala atau hambatan dalam pelaksanaanya. Namun para pendidik tetap mengupayakan yang terbaik dalam pemanfaatan teknologi agar dapa membantu siswa dalam proses pembelajaran, sehingga siswa merasa nyaman. Dalam proses pembelajaran SDN Bojong memanfaatkan aplikasi Google Clasroom, Google Meet, Zom, Powerpoint serta Youtube sebgai media pembelajaran. Dan menggunakan Google Form dan Quzziz sebagai media evaluasi siswa.
Community Participation Methods and their Influence on Effective Community Participation in Development Programs in Tanzania
Authors: Clief Naku Daniel Wandera , Kihila Jacob , Mwageni Eluether
Published: November 2021

It is the wish of every stakeholder to see to it that development programs are successful and beneficial to the intended community. Literature shows that successful development programs must provide opportunities for the intended program beneficiaries to effectively participate in the programs. This implies that program beneficiaries ought to be seen as stakeholders in the program and not as recipients of final program results. This is a community engagement thinking deeply rooted in the stakeholder theory. Hence, by taking into account the importance of community participation in development programs, this study explored community participation methods that were being employed in four different categorized programs and how such methods were influencing effective participation in such programs in Tanzania. These programs were categorized as Locally Funded, Government Funded, Donor Funded and Joint Funded development programs. A combined sample size of 316 participants from all the four programs was employed. Collected data were analyzed through the within-case analysis and the comparative analysis approaches. Results of the study revealed that methods used in Government funded programs were not effective enough in promoting effective community participation when compared to methods used in the other three examined programs. As such, the study concluded by emphasizing on the need to improve on the participation methods used in Government funded programs.
Kadının Suç Ortaklığında Martin Heidegger ve Simone de Beauvoir'ı Birlikte Okumak
Authors: Çağatay Nur Banu
Published: December 2021

Beauvoir İkinci Cinsiyet adlı eserinde kadınların, tutsak olma durumlarını çoğu kez kendilerinin pekiştirdiğini savunur. Kadın, kendisinin özgür olmasını engelleyen konumda, aslında bir suç ortağı olmaktadır. Fakat Beauvoir’ın bu savunusunu tek başına okumak, kadının suç ortaklığı konumunda nasıl aktif olarak yer aldığını ve burada neden kaldığını yeterince açıklayamamaktadır. Beauvoir’ı, Sartre ve Hegel’den ziyade Heidegger ile birlikte okumanın kadının ikincil konumda kalışına dair önemli açılımlar sağlayabileceği düşünülmektedir. Bu makalenin amacı, Beauvoir’ın suç ortaklığına dair açıklamalarını, Heidegger’in Varlık felsefesi ile birlikte okuyarak serimlemek ve kadını, suç ortaklığından ‘Mitsein’ alanında yaratacağı kendine ait bir dilin ve bu dile ilişkin bilincin kurtarabileceğini göstermektir. Bu bağlamda, Beauvoir ve Heidegger’in düşüncelerini birlikte okuyarak sentezlemenin, kadının varoluşunun olanağının koşulunu ortaya koymak bakımından literatüre katkı sağlayacağı düşünülmektedir.
Characteristics of Super-Utilizers of Care at the University Hospitals of Geneva using Latent Class Analysis
Authors: Cohen Gilles , Briot Pascal , Chopard Pierre
Published: November 2021

In hospitalized populations, there is significant heterogeneity in patient characteristics, disease severity, and treatment responses, which generally translates into very different related outcomes and costs. A better understanding of this heterogeneity can lead to better management, more effective and efficient treatments by personalizing care to better meet patients' profiles. Thus, identifying distinct clinical profiles among patients can lead to more homogenous subgroups of patients. Super-utilizers (SUs) are such a group, who contribute a substantial proportion of health care costs and utilize a disproportionately high share of health care resources. This study uses cost, utilization metrics and clinical information to segment the population of patients (N=32,759) admitted to the University Hospital of Geneva in 2019 and thus identifies the characteristics of its SUs group using Latent Class Analysis. This study shows how cluster analysis might be valuable to hospitals for identifying super-utilizers within their patient population and understanding their characteristics.
A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success
Authors: Agarwal Manav , Venugopal Shreya , Kashyap Rishab , Bharathi R
Published: November 2021

The film industry is one of the most popular entertainment industries and one of the biggest markets for business. Among the contributing factors to this would be the success of a movie in terms of its popularity as well as its box office performance. Hence, we create a comprehensive comparison between the various machine learning models to predict the rate of success of a movie. The effectiveness of these models along with their statistical significance is studied to conclude which of these models is the best predictor. Some insights regarding factors that affect the success of the movies are also found. The models studied include some Regression models, Machine Learning models, a Time Series model and a Neural Network with the Neural Network being the best performing model with an accuracy of about 86%. Additionally, as part of the testing data for the movies released in 2020 are analysed.
Data Protection through Data Security-as-a-Service using Blockchain Enabled Platform
Authors: Kasthuri Magesh , Buch Hitarshi , Moorthy Krishna , Panicker Vinod
Published: November 2021

Data access is inevitable in today’s world and it is prone to threat attacks and hence data security is utmost important for any enterprise to handle industrial solutions. The economics of data being used across the industries rapidly growing in current digital world so the potential data related threats is also rapidly growing. Data security is an integrated solution component for any Enterprise solution but with the growing demand on data security and potential threat handling, Data Security as a Service (DSaaS)f is a new model widely accepted in modern age architecture in Blockchain and Big Data world combining the power of cloud based security services, decentralized network in Blockchain and tamper-proof ledger management. Any Enterprise Security architecture comprises of how data is handled in a secured way and how integration between services (consumers/producers or API interaction or any middleware services) handles data between them. Hence it is inevitable to that future technology adoption should include Data Security-as-a-service for zero-trust solution design complying with compliance and security standards for industry.
K-Nearest Neighbour and Dynamic Time Warping for Online Signature Verification
Authors: Saleem Mohammad , BenceKovari
Published: November 2021

Online signatures are one of the most commonly used biometrics. Several verification systems and public databases were presented in this field. This paper presents a combination of knearest neighbor and dynamic time warping algorithms as a verification system using the recently published DeepSignDB database. Our algorithm was applied on both finger and stylus input signatures which represent both office and mobile scenarios. The system was first tested on the development set of the database. It achieved an error rate of 6.04% for the stylus input signatures, 5.20% for the finger input signatures, and 6.00% for a combination of both types. The system was also applied to the evaluation set of the database and achieved very promising results, especially for finger input signatures.
Design of Interplanetary Observation Terminal based on All Programmable System-on-Chip
Authors: Jin Haonan , He Lesheng , Dong Liang , Tan Yongliang , Kong Qingyang
Published: November 2021

The drastic changes in the solar wind will cause serious harm to human life. Monitoring interplanetary scintillation (IPS) can predict solar wind activity, thereby effectively reducing the harm caused by space weather. Aiming at the problem of the lack of the ability to observe IPS phenomenon of the 40-meter radio telescope at the Yunnan Astronomical Observatory of China in the frequency band around 300MHz, an IPS real-time acquisition and processing scheme based on all programmable system-on-chip(APSoC) was proposed. The system calculates the average power of 10ms IPS signal in PL-side and transmits it to the system memory through AXI4 bus. PS-side reads the data, takes logarithms, packages it, and finally transmits it to the LabVIEW host computer through gigabit Ethernet UDP mode for display and storage. Experimental tests show that the system functions correctly, and the PL-side power consumption is only 1.955 W, with a high time resolution of 10ms, and no data is lost in 24 hours of continuous observation, with good stability. The system has certain application value in IPS observation.
Multi-language Information Extraction with Text Pattern Recognition
Authors: Lindén Johannes , Zhang Tingting , Forsström Stefan , Österberg Patrik
Published: November 2021

Information extraction is a task that can extract meta-data information from text. The research in this article proposes a new information extraction algorithm called GenerateIE. The proposed algorithm identifies pairs of entities and relations described in a piece of text. The extracted meta-data is useful in many areas, but within this research the focus is to use them in news-media contexts to provide the gist of the written articles for analytics and paraphrasing of news information. GenerateIE algorithm is compared with existing state of the art algorithms with two benefits. Firstly, the GenerateIE provides the co-referenced word as the entity instead of using he, she, it, etc. which is more beneficial for knowledge graphs. Secondly GenerateIE can be applied on multiple languages without changing the algorithm itself apart from the underlying natural language text-parsing. Furthermore, the performance of GenerateIE compared with state-of-the-art algorithms is not significantly better, but it offers competitive results.
Intelligent Question Answering Module for Product Manuals
Authors: Govindan Abinaya , Ranjan Gyan , Verma Amit
Published: November 2021

Question Answering (QA) has been a well-researched NLP problem over the past few years. The ability for users to query through information content that is available in a range of formats - organized and unstructured - has become a requirement. This paper proposes to untangle factoid question answering targeting the Hi-Tech domain. This paper addresses issues faced during document question answering, such as document parsing, indexing and retrieval (identifying the relevant documents) as well as machine comprehension (extract spans of correct answers from the context). Our suggested solution provides a comprehensive pipeline comprised of document ingestion modules that handle a wide range of unstructured data across various sections of the document, such as textual, images, and tabular content. Our studies on a variety of “real-world” and domain-specific datasets show how current fine-tuned models are insufficient for this challenging task, and how our proposed pipeline is an effective alternative.
Advanced Skills Mapping and Career Development Using AI
Authors: Kee Wong Yew
Published: November 2021

Artificial intelligence has been an eye-popping word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards continuous development. From the definition, the welfare of human beings is the core of continuous development. Continuous development is useful only when ordinary people’s lives are improved whether in health, education, employment, environment, equality or justice. Securing decent jobs is a key enabler to promote the components of continuous development, economic growth, social welfare and environmental sustainability. The human resources are the precious resource for nations. The high unemployment and underemployment rates especially in youth is a great threat affecting the continuous economic development of many countries and is influenced by investment in education, and quality of living.
Low-Complexity Receiver for Massive MIMO-GFDM Communications
Authors: Tsai Feng-Cheng , Ueng Fang-Biau , Lin Ding-Ching
Published: November 2021

OFDM has two disadvantages. The first is high peak-to-average power ratio (PAPR), and the second is high out-of-band (OOB) radiated power. In the future communication applications, the diversified scenarios such as Internet of Things, inter-machine communication and telemedicine make the fourth-generation mobile communication no longer applicable. The generalized frequency division multiplexing (GFDM) has a pulse-shaping filter, which has less out-of-band radiated power and peak-to-average power ratio and fewer cyclic prefixes (CP) than OFDM. In order to meet high- data-transmission rate, it is an inevitable trend to install massive multi-input multi-output (massive MIMO) antennas. As the number of antennas increases, so does its complexity. This paper employs time reversal (TR) technology to reduce the computational complexity. Although the number of base station (BS) antennas has increased to eliminate interference, there is still residual interference. In order to eliminate the interference one step further, we deploy a zero forcing equalization (ZF equalization) after the time reversal combination.
Çivi Yazılı Tıbbi Kaynaklara Göre Eski Mezopotamya Toplumlarında Enfeksiyon Hastalıkları
Authors: DİRİ Bülent
Published: November 2021

Tarih boyunca birçok medeniyete ev sahipliği yapmış olan Fırat ve Dicle nehirlerinin arasındaki verimli toprakları içine alan; doğuda Zagros Dağları, batıda Lübnan Dağları ve Filistin, kuzeyde Toros Dağları, güneyde ise Basra Körfezi’ne kadar uzanan coğrafi bölgeye Mezopotamya adı verilir. İnsanlık ve bilim tarihine ev sahipliği yapmış olan bu coğrafya kuşkusuz tıp alanında da önemli bir birikime sahipti. Çalışmamızın tarih olarak başlangıcını ilk yazılı kaynakların sahibi olan Sumerliler oluşturmakla birlikte Akad, Asur, Babil ve Elam gibi medeniyetler çalışmamız alanına girmiştir. Yeni Asur Dönemi’ne ait Asurbanipal Kütüphanesi’nde bulunan çivi yazılı eserler kadim Mezopotamya tıbbını özetleyerek özel önem arz etmektedir. Bu çalışmada Mezopotamya tıbbıyla ilgili çivi yazılı belge ve konuyla ilgili bilimsel dokümanların günümüz enfeksiyon hastalıkları branşına göre değerlendirilmesi yapılmıştır. Enfeksiyon hastalıklarından yumuşak doku enfeksiyonu (selülit), sıtma, kuduz, lepra ve tüberkülozun konuyla ilgili Eski Mezopotamya çivi yazılı belgeleri günümüz tıp literatürü ve tıp anlayışı açısından değerlendirilmiştir. Çalışma alanına giren hastalıkların Eski Mezopotamya tıp ve sağlık anlayışındaki izleri sürülmüştür. Bu örnek hastalıklarda dahi Mezopotamya tıbbı ile ilgili sihir, büyü, ruh gibi kavramlara metinlerde sıkça rastlanabilir. Ancak bunlar arasında oldukça detaylı gözleme dayanan ve prognoz belirtme çabası içerisinde, semptomlar temelinde günümüz hastalıklarını tanımakta oldukları görülecektir. Bu çalışmada enfeksiyon hastalıkları branşına ait yumuşak doku enfeksiyonları, sıtma, kuduz, lepra ve tüberküloz hakkında değerlendirme yapılacaktır.
Catalytic Process in Producing Green Aromatics through Fast Pyrolysis of Wood of Five Tropical Fast Growing Trees Species
Authors: Sulistyo Joko , Hata Toshimitsu , Lukmandaru Ganis , Syafriani Yunida , Honma Sensho
Published: November 2021

The generation of liquid fuels and chemicals is potential through a catalytic fast pyrolysis (CFP) which is a rapid, inexpensive, and promising method utilizing tropical wood biomass as starting material. There is a little known in the potential of wood biomass from tropical fast-growing trees as starting materials for the production of liquid fuel and chemicals. In this study the formation of aromatics by pyrolytic-gas chromatography/mass spectroscopy (Py-GC/MS) is evaluated on the effect of wood species with different characteristics and its cellulose component to the formation of aromatics. Fast pyrolysis of eucalyptus wood characterized with low content of ash and high percentages of hollocellulose and α-cellulose produced much high relative peaks of levoglucosan and small relative peaks of lignin derived products. Meanwhile high content of vollatile matter and high crystallinity of cellulose attributed balsa and jabon woods as feedstock for fast pyrolysis. The catalytic process in fast pyrolysis of eucalyptus decomposed the most of oxygenated compound such as levoglucosan and furfural into aromatics in the presence of ZSM-5. Coke formation on the surface catalyst might lead partly of decomposition of levoglucosan and furfural to form aromatics in the catalytic fast pyrolysis of balsa wood. Cellulose component determined on the formation of benzene, toluene, styrene, p-xylene, indane, indene, and naphthalene in catalytic fast pyrolysis of wood.
Analisis Prediksi Kebangkrutan Dengan Menggunakan Metode Altman Z-Score, Zmijewski, Springate Dan Grover Pada PT. Smartfren Telecom Tbk
Authors: Nur Novi Trianti Sakinah  , PUJI PUJI MUNIARTY
Published: November 2021

Kebangkrutan merupakan kondisi perusahaan yang menunjukkan ketidakmampuan perusahaan untuk beroperasi dengan baik dikarenakan kesulitan keuangan yang dialami sangat parah. Adapun tujuan dari penelitian ini adalah untuk mengetahui dan mengukur kondisi kesehatan keuangan PT. Smartfren Telecom Tbk dengan menggunakan metode Altman Z-Score, Zmijewski, Springate dan Grover. Jumlah populasi adalah 13 tahun dengan periode 2007-2019 dan sampel adalah 10 tahun dengan periode 2010-2019. Jenis penelitian ini adalah penelitian deskriptif dengan menggunakan metode kebangkrutan dan uji one sample t-test. Hasil dari penelitian adalah metode Altman Z-Score, Springate dan Grover memprediksi PT. Smartfren Telecom Tbk tidak berpotensi mengalami kebangkrutan sedangkan metode Zmijewski memprediksi PT. Smartfren Telecom Tbk berpotensi mengalami kebangkrutan. Berdasarkan hasil perhitungan uji one sample t-test dan besarnya nilai standar deviasi diperoleh metode Zmijewski merupakan metode yang relevan dan akurat untuk memprediksi kebangkrutan pada PT. Smartfren Telecom Tbk.
Sistem Transmisi Kontrol Mobil Robot dengan Menggunakan Gestur Tangan
Authors: Jati  , Agung Samudra  , Nanndo Yannuansa  , Ahmad Fauzi
Published: November 2021

The innovation of the robot cars today is moving very fast. The robot car is capable of being driven without using manual remote controls. One form of technological development in robot car control is by using hand gestures. The microcontrolle placed in the palm of the hand will read the direction of movement of our hands, then the instructions are transmitted to the robot car.  The transmission system used in the microcontrolled circuit in the palm of the hand and the receiver circuit inside the robot car must be properly attached. This is influenced by the quality of programming language levels and the arduino mini pro and MPU-6050 circuits. Hand gesture directional readings are able to be easily readable and directly transmitted by the NRF24L01 module via radio waves. The response power of the robot car in receiving hand-move instructions can be received as far as 45 m. In addition to using a good arduino mini pro, the addition of antenna modules will also increase the quality and distance of the connection is getting farther..
Pengukura Suhu dengan Ir MLX90614 dan NoDeMCU dan Membandingkan dengan Ds18B20 untuk pencegahan Covid 19
Authors: Sasmoko Dani , Nur Afifah  , Iman Saufik
Published: November 2021

This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign
Spatial allocation effects within a potentization basic research model â€“ evidence for field-like effects of homeopathic preparations?
Authors: Baumgartner Stephan , Betti Lucietta , Binder Mascha , Heusser Peter , Wolf Ursula
Published: December 2021

Background: The mode of action of ultramolecular homeopathic preparations is still unknown. Interactions between objects or entities can be grouped in four main general scientific categories: material, force-/field-like, entanglement-like or informational. Should homeopathic preparations have a field-like mode of action, there is greater probability of cross-contamination as long as the means to â€œshieldâ€ objects from each other is unknown. A field-like interaction would also lead to treatment at a distance effects that are distance-dependent. Aims: We analysed a set of experiments with Arsenicum album 45x treated wheat seedlings regarding a possible distance-dependent cross-contamination. Materials and Methods: We performed an a posteriori analysis of a set of 17 independent experiments [1,2] with wheat seedlings pre-treated with 1â€° arsenic. Three treatments were applied (Arsenicum album 45x, water 45x, or unpotentized water) with 150 seedlings in each treatment group per experiment. Seedlings were arranged in hanging plastic bags side-by-side in identically treated blocks of 10 seedlings. The 3x15 blocks were coded and randomly allocated to the three treatments. Wheat shoot length was measured after 7 days. Treatment effects were analysed as function of the position (1â€“10) within the blocks of 10 seedlings. Results: Analyzing all data, Arsenicum album 45x exerted an inhibiting effect (â€“3.2%, p=0.01) compared to both water and water 45x. When restricting the analysis to the outermost seedlings of all subgroups (pos. 1, 10), the treatment effect vanished (0.3%, p=0.92). In contrast, the innermost seedlings of all subgroups (pos. 5, 6) showed a treatment effect of â€“5.6% (p=0.02). Intermediate pairs of positions (pos. 2â€“4, 7â€“9) showed intermediate effects. Regarding shoot length, dependency on spatial position was observed for the plants of the water control groups, but not for the plants treated with Arsenicum album 45x. Conclusions: Whilst the effect of Arsenicum album 45x on wheat-shoot growth was not dependent on the spatial position within the subgroup, the water-control plants became smaller the closer they were to Arsenicum album 45x-treated seedlings. This observation is compatible with the existence of a field-like effect of homeopathic dilutions. Another possible explanation that cannot be ruled out by the present experiments, is contamination through the gas-phase. Future investigations of ultramolecular homeopathic preparations should control any such effects since they may mask treatment effects, leading to false-negative results. Closer investigation of the nature of this distance-dependent effect might contribute to identification of the mode of action of ultramolecular homeopathic preparations.
Quantification of CH4 coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO2 and Methane (CoMet) campaign
Authors: Krautwurst Sven , Gerilowski Konstantin , Borchardt Jakob , Wildmann Norman , Gałkowski Michał , Swolkień Justyna , Marshall Julia , Fiehn Alina , Roiger Anke , Ruhtz Thomas , Gerbig Christoph , Necki Jaroslaw , Burrows John P. , Fix Andreas , Bovensmann Heinrich
Published: December 2021

Abstract. Methane (CH4) is the second most important anthropogenic greenhouse
gas, whose atmospheric concentration is modulated by human-induced activities, and it has a larger global warming potential than carbon dioxide (CO2). Because of its short atmospheric lifetime relative to that of CO2, the reduction of the atmospheric abundance of CH4 is an attractive target for short-term climate mitigation strategies. However, reducing the atmospheric CH4 concentration requires a reduction of its emissions and, therefore, knowledge of its sources. For this reason, the CO2 and Methane (CoMet) campaign in May and June 2018 assessed emissions of one of the largest CH4 emission hot spots in Europe, the Upper Silesian Coal Basin (USCB) in southern Poland, using top-down approaches and inventory data. In this study, we will focus on CH4 column anomalies retrieved from spectral radiance observations, which were acquired by the 1D nadir-looking passive remote sensing Methane Airborne MAPper (MAMAP) instrument, using the weighting-function-modified differential optical absorption spectroscopy (WFM-DOAS) method. The column anomalies, combined with wind lidar measurements, are inverted to cross-sectional fluxes using a mass balance approach. With the help of these fluxes, reported emissions of small clusters of coal mine ventilation shafts are then assessed. The MAMAP CH4 column observations enable an accurate assignment of
observed fluxes to small clusters of ventilation shafts. CH4 fluxes
are estimated for four clusters with a total of 23 ventilation shafts, which are responsible for about 40 % of the total CH4 mining emissions in the target area. The observations were made during several overflights on different days. The final average CH4 fluxes for the single clusters (or sub-clusters) range from about 1 to 9 t CH4 h−1 at the time of the campaign. The fluxes observed at one cluster during different overflights vary by as much as 50 % of the average value. Associated errors (1σ) are usually between 15 % and 59 % of the average flux, depending mainly on the prevailing wind conditions, the number of flight tracks, and the magnitude of the flux itself. Comparison to known hourly emissions, where available, shows good agreement within the uncertainties. If only emissions reported annually are available for comparison with the observations, caution is advised due to possible fluctuations in emissions during a year or even within hours. To measure emissions even more precisely and to break them down further for allocation to individual shafts in a complex source region such as the USCB, imaging remote sensing instruments are recommended.
Impact of North Brazil Current rings on air-sea CO2 flux variability in winter 2020
Authors: Olivier Léa , Boutin Jacqueline , Reverdin Gilles , Lefèvre Nathalie , Landschützer Peter , Speich Sabrina , Karstensen Johannes , Ritschel Markus , Wanninkhof Rik
Published: November 2021

Abstract. The North Brazil Current (NBC) flows northward across the Equator, passes the mouth of the Amazon River, and forms large oceanic eddies near 8° N. We investigate the processes driving the variability of air-sea CO2 fluxes at different scales in early 2020 in the region [50° W–59° W–5° N–16° N]. This region is a pathway between the equatorial and North Atlantic Ocean and was surveyed during the EUREC4A-OA/ATOMIC campaign. In-situ surface fugacity of CO2 (fCO2), salinity and temperature combined with maps of satellite salinity, chlorophyll-a and temperature highlight contrasting properties in the region. In February 2020, the area is a CO2 sink (−1.7 TgC.month−1), previously underestimated by a factor 10. The NBC rings transport saline and high fCO2 water indicative of their equatorial origins and are a small source of CO2 at regional scale. Their main impact on the variability of biogeochemical parameters is through the filaments they entrain into the open ocean. During the campaign, a nutrient-rich freshwater plume from the Amazon River is entrained from the shelf up to 12° N and caused a phytoplankton bloom leading to a significant carbon drawdown (~20 % of the total sink). On the other hand, saltier filaments of shelf water rich in detrital material act as strong local sources of CO2. Spatial distribution of fCO2 is therefore strongly influenced by ocean dynamics south of 12° N. The less variable North Atlantic subtropical water extends from Barbados northward. They represent ~60 % of the total sink due to their lower temperature associated with winter cooling and strong winds.
Impacts of compound hot–dry extremes on US soybean yields
Authors: Hamed Raed , Van Loon Anne F. , Aerts Jeroen , Coumou Dim
Published: November 2021

Abstract. The US agriculture system supplies more than one-third of
globally traded soybean, and with 90 % of US soybean produced under rainfed
agriculture, soybean trade is particularly sensitive to weather and climate
variability. Average growing season climate conditions can explain about
one-third of US soybean yield variability. Additionally, crops can be
sensitive to specific short-term weather extremes, occurring in isolation or
compounding at key moments throughout crop development. Here, we identify
the dominant within-season climate drivers that can explain soybean yield
variability in the US, and we explore the synergistic effects between drivers that
can lead to severe impacts. The study combines weather data from reanalysis
and satellite-informed root zone soil moisture fields with subnational crop
yields using statistical methods that account for interaction effects. On average, our
models can explain about two-thirds of the year-to-year yield
variability (70 % for all years and 60 % for out-of-sample predictions).
The largest negative influence on soybean yields is driven by high
temperature and low soil moisture during the summer crop reproductive
period. Moreover, due to synergistic effects, heat is considerably more
damaging to soybean crops during dry conditions and is less problematic during wet
conditions. Compounding and interacting hot and dry (hot–dry) summer conditions (defined
by the 95th and 5th percentiles of temperature and soil moisture
respectively) reduce yields by 2 standard deviations. This sensitivity is 4 and 3 times larger than the sensitivity to hot or dry
conditions alone respectively. Other relevant drivers of negative yield responses are
lower temperatures early and late in the season, excessive precipitation in
the early season, and dry conditions in the late season. We note that the sensitivity to the identified drivers varies across the spatial domain. Higher latitudes, and thus colder regions, are positively affected by high temperatures during the summer period. On the other hand, warmer southeastern regions are positively affected by low temperatures during the late season. Historic trends in
identified drivers indicate that US soybean production has generally benefited from
recent shifts in weather except for increasing rainfall in the early season.
Overall, warming conditions have reduced the risk of frost in the early and
late seasons and have potentially allowed for earlier sowing dates. More
importantly, summers have been getting cooler and wetter over the eastern US.
Nevertheless, despite these positive changes, we show that the frequency of
compound hot–dry summer events has remained unchanged over the 1946–2016 period. In the
longer term, climate models project substantially warmer summers for the
continental US, although uncertainty remains as to whether this will be accompanied by
drier conditions. This highlights a critical element to explore in future
studies focused on US agricultural production risk under climate change.
CO2 Surface Variability, from the Stratosphere or Not?
Authors: Prather Michael J.
Published: December 2021

Abstract. Fluctuations in atmospheric CO2 can be measured with great precision and are used to identify human-driven sources as well as natural cycles of ocean and land carbon. One source of variability is the stratosphere, where the influx of aged CO2-depleted air can produce fluctuations at the surface. This process has been speculated a potential source of interannual variability (IAV) in CO2 that might obscure the quantification of other sources of IAV. Given the recent success in demonstrating that the stratospheric influx of N2O- and chlorofluorocarbon-depleted air is a dominant source of their surface IAV in the southern hemisphere, we here apply the same model and measurement analysis to CO2. Using chemistry-transport modeling or scaling of the observed N2O variability, we find that the stratosphere-driven surface variability in CO2 is at most 10 % of the observed IAV and is not an important source. The southern hemisphere stations with multi-decadal CO2 records can provide clues to sources through the phase shifts of the IAV relative to the northern hemisphere.
Measurements of natural airflow within a Stevenson screen
Authors: Burt Stephen David
Published: November 2021

Abstract. Climate science depends upon accurate measurements of air temperature and humidity, the majority of which are still derived from sensors exposed within passively-ventilated louvred Stevenson-type thermometer screens. It is well-documented that, under certain circumstances, air temperatures measured within such screens can differ significantly from ‘true’ air temperatures measured by other methods, such as aspirated sensors. Passively-ventilated screens depend upon wind motion to provide ventilation within the screen, and thus airflow over the sensors contained therein. Consequently, instances of anomalous temperatures occur most often during light winds when airflow through the screen is weakest, particularly when in combination with strong or low-angle incident solar radiation. Adequate ventilation is essential for reliable and consistent measurements of both air temperature and humidity, yet very few systematic comparisons to quantify relationships between external wind speed and airflow within a thermometer screen have been made. This paper addresses that gap by summarising the results of a three month field experiment in which airflow within a UK-standard Stevenson screen was measured using a sensitive sonic anemometer, and comparisons made using simultaneous wind speed and direction records from the same site. The average in-screen ventilation rate was found to be 0.2 m s−1, well below the 1 m s−1 minimum assumed in meteorological and design standard references, and only about 7 % of the scalar mean wind speed at 10 m. The implications of low in-screen ventilation on the uncertainty of air temperature and humidity measurements from Stevenson-type thermometer screens are discussed, particularly those due to the differing response times of dry- and wet-bulb temperature sensors, and ambiguity in the value of the psychrometric coefficient.
A versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.0
Authors: Veillon Florent , Dumont Marie , Amory Charles , Fructus Mathieu
Published: November 2021

Abstract. In climate models, the snow albedo scheme generally calculates only a narrowband or broadband albedo, which leads to significant uncertainties. Here, we present the Versatile ALbedo calculation metHod based on spectrALLy fixed radiative vAriables (VALHALLA version 1.0) to optimize spectral snow albedo calculation. For this optimization, the energy absorbed by the snowpack is calculated by the spectral albedo model Two-streAm Radiative TransfEr in Snow (TARTES) and the spectral irradiance model Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART). This calculation takes into account the spectral characteristics of the incident radiation and the optical properties of the snow based on an analytical approximation of the radiative transfer of snow. For this method, 30 wavelengths, called tie points (TPs), and 16 reference irradiance profiles are calculated to incorporate the absorbed energy and the reference irradiance. The absorbed energy is then interpolated for each wavelength between two TPs with adequate kernel functions derived from radiative transfer theory for snow and the atmosphere. We show that the accuracy of the absorbed energy calculation primarily depends on the adaptation of the irradiance of the reference profile to that of the simulation (absolute difference <1 W m−2 for broadband absorbed energy and absolute difference <0.005 for broadband albedo).
In addition to the performance in terms of accuracy and calculation time, the method is adaptable to any atmospheric input (broadband, narrowband) and is easily adaptable for integration into a radiative scheme of a global or regional climate model.