bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients Recovery
Authors: Muhammad L. J. , Islam Md. Milon , Sharif Usman Sani , Ayon Safial Islam 
Published: June 2020

Abstract
Novel coronavirus (COVID-19 or 2019-nCoV) pandemic has neither clinically proven vaccine nor drugs; however, its patients are recovering with the aid of antibiotics medications, anti-viral drugs, and chloroquine as well as vitamin C supplementation. It is now evident that the world needs a speedy and quicker solution to contain and tackle the further spread of COVID-19 across the world with the aid of non-clinical approaches such as data mining approaches, augmented intelligence and other artificial intelligence techniques so as to mitigate the huge burden on the healthcare system while providing the best possible means for patients' diagnosis and prognosis of the 2019-nCoV pandemic effectively. In this study, data mining models were developed for the prediction of COVID-19 infected patients’ recovery using epidemiological dataset of COVID-19 patients of South Korea. The decision tree, support vector machine, naive Bayes, logistic regression, random forest, and K-nearest neighbor algorithms were applied directly on the dataset using python programming language to develop the models. The model predicted a minimum and maximum number of days for COVID-19 patients to recover from the virus, the age group of patients who are of high risk not to recover from the COVID-19 pandemic, those who are likely to recover and those who might be likely to recover quickly from COVID-19 pandemic. The results of the present study have shown that the model developed with decision tree data mining algorithm is more efficient to predict the possibility of recovery of the infected patients from COVID-19 pandemic with the overall accuracy of 99.85 % which stands to be the best model developed among the models developed with other algorithms including support vector machine, naive Bayes, logistic regression, random forest, and K-nearest neighbor.
Particulate matter (PM2.5) as a potential SARS-CoV-2 carrier
Authors: Md Norefrina Shafinaz , Wai Yip Chee , Ibrahim Nazlina , Rashid Zetti Zainol , Mustafa Norlaila , Hamid Haris Hafizal Abd , Latif Mohd Talib , Er Saw Phei , Yik Lin Chin , Alhasa Kemal Maulana , Hashim Jamal Hisham , nadzir mohd shahrul mohd 
Published: June 2020

Abstract
The rapid spread of the SARS-CoV-2 in the COVID-19 pandemic had raised questions on the route of transmission of this disease. Initial understanding was that transmission originated from respiratory droplet from an infected host to a susceptible host. However, indirect contact transmission of viable virus by fomites and through aerosols has also been suggested. Herein, we report the involvement of fine indoor air particulate with the diameter of ≤ 2.5 µm (PM2.5) as the transport agent of the virus. PM2.5 was collected over four weeks during a 48 hours measurement intervals in four separate wards containing different infected clusters in a teaching hospital in Kuala Lumpur, Malaysia. Our results indicated highest SARS-CoV-2 RNA on PM2.5 in the ward associated with a lavatory. We suggest a link between the virus-laden PM2.5 and the ward’s design. Patients’ symptoms and numbers that govern the magnitude of viral shedding may also influence the number of airborne SARS-CoV-2 RNA on PM2.5 in an enclosed environment.
Fluctuation of Public Interest in COVID-19 in the United States: Retrospective Analysis of Google Trends Search Data
Authors: Husain Iltifat , Briggs Blake , Lefebvre Cedric , Cline David M , Stopyra Jason P , O'Brien Mary Claire , Vaithi Ramupriya , Gilmore Scott , Countryman Chase 
Published: June 2020

BackgroundIn the absence of vaccines and established treatments, nonpharmaceutical interventions (NPIs) are fundamental tools to control coronavirus disease (COVID-19) transmission. NPIs require public interest to be successful. In the United States, there is a lack of published research on the factors that influence public interest in COVID-19. Using Google Trends, we examined the US level of public interest in COVID-19 and how it correlated to testing and with other countries.ObjectiveThe aim of this study was to determine how public interest in COVID-19 in the United States changed over time and the key factors that drove this change, such as testing. US public interest in COVID-19 was compared to that in countries that have been more successful in their containment and mitigation strategies.MethodsIn this retrospective study, Google Trends was used to analyze the volume of internet searches within the United States relating to COVID-19, focusing on dates between December 31, 2019, and March 24, 2020. The volume of internet searches related to COVID-19 was compared to that in other countries.ResultsThroughout January and February 2020, there was limited search interest in COVID-19 within the United States. Interest declined for the first 21 days of February. A similar decline was seen in geographical regions that were later found to be experiencing undetected community transmission in February. Between March 9 and March 12, 2020, there was a rapid rise in search interest. This rise in search interest was positively correlated with the rise of positive tests for SARS-CoV-2 (6.3, 95% CI −2.9 to 9.7; P<.001). Within the United States, it took 52 days for search interest to rise substantially after the first positive case; in countries with more successful outbreak control, search interest rose in less than 15 days.ConclusionsContainment and mitigation strategies require public interest to be successful. The initial level of COVID-19 public interest in the United States was limited and even decreased during a time when containment and mitigation strategies were being established. A lack of public interest in COVID-19 existed in the United States when containment and mitigation policies were in place. Based on our analysis, it is clear that US policy makers need to develop novel methods of communicating COVID-19 public health initiatives.
Compelling Freedom on Campus: A Free Speech Paradox
Authors: Cameron* Jamie 
Published: June 2020

In 1985, it was largely unknown how the Supreme Court of Canada would respond to the Charter.1 At first glance, a drugstore’s right to be open for business on Sunday, selling groceries, plastic cups, and a bicycle lock, seemed an unlikely source of inspiration for the Court’s first pronouncement on the essence of freedom. Perhaps unexpectedly, the justices enforced the entitlement, finding that a Sunday closing law compelling a corporation to comply with the Christian Sabbath infringed section 2(a)’s guarantee of religious freedom.2 In doing so, R v Big M Drug Mart defined freedom as “the absence of coercion or constraint,” stating without equivocation that no one who is compelled “to a course of action or inaction” is “truly free”.3 In Justice Dickson’s considered view, coercion includes “blatant forms of compulsion”, such as “direct commands to act or refrain from acting on pain of sanctions”, as well as forms of indirect control.4 In plain and unmistakeable terms, Big M promised that, under the Charter, “no one is to be forced to act in a way contrary to his beliefs or conscience”.5

* Professor Emeritus, Osgoode Hall Law School. I thank Kate Bezanson and Alison Braley-Rattai for includingme in this special issue of Constitutional Forum, and am grateful to Kate Bezanson for her comments onan earlier draft. I also thank Ryan Ng (JD 2021) for his valuable research assistance in the preparation ofthis paper. Finally, I note that I was a member of York University’s Free Speech Working Group in fall 2018.This paper does not in any way express the views of York University or the Working Group, which has longsince disbanded.
1Canadian Charter of Rights and Freedoms, s 2(a), Part I of the Constitution Act, 1982, being Schedule B of the Canada Act 1982 (UK), 1982, c 11 [Charter].2R v Big M Drug Mart, [1985] 1 SCR 295, 18 DLR (4th) 321 [Big M].3Ibid at 336.4Ibid.5 Ibid at 337.
GESTÃO DO CAPITAL INTELECTUAL E DA CAPACIDADE ABSORTIVA COMO FUNDAMENTOS DO DESEMPENHO INOVADOR
Authors: Fávero Jéferson Deleon , Jader Pereira Péricles Ewaldo , Gomes Giancarlo , De Carvalho Luciano Castro 
Published: June 2020

A cada dia que passa o cenário encontrado nas indústrias se torna mais complexo, nesse contexto existe a necessidade e a busca constante por inovação. O capital intelectual e a capacidade absortiva têm sido observados como um recurso estratégico das organizações devido a capacidade que a empresa possui em criar e aplicar a sua base de conhecimento. Neste contexto, sugere-se que o desempenho inovador (DI) é influenciado pela gestão do capital intelectual (CI) e da capacidade absortiva (ACAP). Baseado em uma perspectiva mais integradora, o objetivo do artigo é analisar se o desempenho inovador é influenciado pela gestão do (CI), da (ACAP). Com base em uma amostra de 97 empresas do segmento metalmecânico, utilizou-se da modelagem de equações estruturais para estimar se há influência das dimensões do capital intelectual e da capacidade absortiva nas dimensões do desempenho inovador. Os resultados revelam que tanto o capital intelectual, quanto a capacidade absortiva isoladamente influenciam o desempenho inovador. No entanto, não há evidências de influência quando o capital intelectual e o desempenho inovador é mediado pela capacidade absortiva.
SUPPLY CHAIN MANAGEMENT DAN VALUE CHAIN ANALYSIS PRODUKSI MINYAK PELUMAS
Authors: Hendri Hendri 
Published: June 2020

Riset ini bertujuan untuk membuat Suplai Chain Management, mengetahui kondisi internal menggunakan value chain dan usulan perbaikan industri Pelumas. Rantai Pasokan (Supply Chain) mencakup semua kegiatan yang terkait dengan aliran dan transformasi barang dan jasa dari tahap bahan baku (raw materials) ke pengguna akhir (pelanggan). Sedangkan Value chain adalah rantai nilai yang yang digunakan untuk mengetahui kondisi internal perusahaan. Pelumas dan Pelumas (lubricant) adalah zat kimia, yang umumnya cairan, yang sangat diperlukan untuk semua bagian mesin yang bergerak di antara dua benda atau lebih untuk mengurangi gaya gesek, agar bagian yang sangat penting dapat berfungsi dengan baik dan tahan lama. Metode analisis yang digunakan adalah supply chain management.dan value chain analisis. Adapun hasil penelitian ini adalah diketahui Suplai Chain Management Pelumas terdiri dari dua macam suplly chain, yakni: Suplly Chain pelumas produk lokal 60% dan Suplly Chain pelumas import 40%. Untuk .bahan baku base oil sebagian bersumber dari local dan sebagian import sedangkan bahan baku additive bersumber dari import. Diketahui kondisi aktivitas pokok industri pelumas untuk tiga perusahaan yang diobservasi value chain, yakni PT.Pertamina Lubricants, PT. Idemitsu Lube Techno Indonesia dan PT. Federal Karyatama dengan Inbound Logistic: Tiga perusahaan yang diteliti masih menggunakan metoda metoda yang sudah baik dengan menggunakan salah satu sistem otomatis (automated warehouse) atau menggunakan informasi teknologi (IT). Operations: dua perusahaan sudah menggunakan mesin sebagian telah dikendaliakan dengan komputer (otomatis) dan sebagain semi otomatis. dan satu perusahaan menggunakan mesin semi otomatis Outbound Logistics, Tiga perusahaan yang diteliti aktivitas proses penyaluran produksi digudang telah melalui jalur distribusi dengan baik sehingga berjalan dengan cepat. Usulan perbaikan untuk Inbound Logistic:dapat ditingkatkan dengan menerapkan otomatis (automated warehouse) dan sistem just-in-time (JIT). Usulan perbaikan untuk Operations: dapat ditingkatkan dengan menggunakan mesin semi otomatis atau menggunakan otomatisasi penuh (mesin-mesin dikendalikan komputer, hingga kerja mesin lebih cepat, lebih akurat, dan lebih fleksibel). Usulan perbaikan untuk Outbound Logistics, dapat ditingkatkan dengan menggunakan proses order yang otomatis (automated order processing) menggunakan jaringan IT melalui jalur distribusi yang sudah ada.
Social Support, Social Network Size, Social Strain, Stressful Life Events, and Coronary Heart Disease in Women With Type 2 Diabetes: A Cohort Study Based on the Women’s Health Initiative
Authors: Miao Jonasson Junmei , Hendryx Michael , Shadyab Aladdin H. , Kelley Erika , Johnson Karen C. , Kroenke Candyce H. , Garcia Lorena , Lawesson Sofia , Santosa Ailiana , Sealy-Jefferson Shawnita , Lin Xiaochen , Cene Crystal W. , Liu Simin , Valdiviezo Carolina , Luo Juhua 
Published: June 2020

OBJECTIVE
We studied associations between social support, social network size, social strain, or stressful life events and risk of coronary heart disease (CHD) in postmenopausal women with type 2 diabetes.

RESEARCH DESIGN AND METHODS
From the Women’s Health Initiative, 5,262 postmenopausal women with type 2 diabetes at baseline were included. Cox proportional hazards regression models adjusted for demographics, depressive symptoms, anthropometric variables, and lifestyle factors were used to examine associations between social factors and CHD.

RESULTS
A total of 672 case subjects with CHD were observed during an average 12.79 (SD 6.29) years of follow-up. There was a significant linear trend toward higher risk of CHD as the number of stressful life events increased (P for trend = 0.01; hazard ratio [HR] [95% CI] for the third and fourth quartiles compared with first quartile: 1.27 [1.03–1.56] and 1.30 [1.04–1.64]). Being married or in an intimate relationship was related to decreased risk of CHD (HR 0.82 [95% CI 0.69–0.97]).

CONCLUSIONS
Among postmenopausal women with type 2 diabetes, higher levels of stressful life events were associated with higher risk of CHD. Experience of stressful life events might be considered as a risk factor for CHD among women with type 2 diabetes.
Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study
Authors: Lu Jieli , Li Mian , Xu Yu , Bi Yufang , Qin Yingfen , Li Qiang , Wang Tiange , Hu Ruying , Shi Lixin , Su Qing , Xu Min , Zhao Zhiyun , Chen Yuhong , Yu Xuefeng , Yan Li , Du Rui , Hu Chunyan , Qin Guijun , Wan Qin , Chen Gang , Dai Meng , Zhang Di , Gao Zhengnan , Wang Guixia , Shen Feixia , Luo Zuojie , Chen Li , Huo Yanan , Ye Zhen , Tang Xulei , Zhang Yinfei , Liu Chao , Wang Youmin , Wu Shengli , Yang Tao , Deng Huacong , Li Donghui , Lai Shenghan , Bloomgarden Zachary T. , Chen Lulu , Zhao Jiajun , Mu Yiming , Ning Guang , Wang Weiqing 
Published: June 2020

OBJECTIVE
We aim to investigate the impact of ideal cardiovascular health metrics (ICVHMs) on the association between famine exposure and adulthood diabetes risk.

RESEARCH DESIGN AND METHODS
This study included 77,925 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study who were born around the time of the Chinese Great Famine and free of diabetes at baseline. They were divided into three famine exposure groups according to the birth year, including nonexposed (1963–1974), fetal exposed (1959–1962), and childhood exposed (1949–1958). Relative risk regression was used to examine the associations between famine exposure and ICVHMs on diabetes.

RESULTS
During a mean follow-up of 3.6 years, the cumulative incidence of diabetes was 4.2%, 6.0%, and 7.5% in nonexposed, fetal-exposed, and childhood-exposed participants, respectively. Compared with nonexposed participants, fetal-exposed but not childhood-exposed participants had increased risks of diabetes, with multivariable-adjusted risk ratios (RRs) (95% CIs) of 1.17 (1.05–1.31) and 1.12 (0.96–1.30), respectively. Increased diabetes risks were observed in fetal-exposed individuals with nonideal dietary habits, nonideal physical activity, BMI ≥24.0 kg/m2, or blood pressure ≥120/80 mmHg, whereas significant interaction was detected only in BMI strata (P for interaction = 0.0018). Significant interactions have been detected between number of ICVHMs and famine exposure on the risk of diabetes (P for interaction = 0.0005). The increased risk was observed in fetal-exposed participants with one or fewer ICVHMs (RR 1.59 [95% CI 1.24–2.04]), but not in those with two or more ICVHMs.

CONCLUSIONS
The increased risk of diabetes associated with famine exposure appears to be modified by the presence of ICVHMs.
Design and Implement Beacon based scheme for Node Localization in Underwater Acoustic Network
Authors: Puneetpal Kaur  , Mohit Marwaha  , Baljinder Singh  
Published: June 2020

A network that can sense the surroundings and collected all the information from the sensor nodes and passed it to the base station is known as a wireless sensor network. The underwater acoustic networks are the type of network deployed under the oceans and passed information to the base station. Due to the dynamic nature of the network, nodes change their location at any time. To maximum aggregate information from the sensor nodes, to estimate exact node location is very important. The sensor node position estimation is a major issue of the underwater acoustic network. The process of estimating node position is called node localization. In the existing RSSI based approach for the node, localization has a high delay, which reduces its efficiency. The technique needs to be designed, which localizes more nodes in less amount of time. This research is based on the advancement of the range based scheme for node localization. In the proposed scheme, mobile beacons are responsible for node localization. The beacon nodes send beacon messages in the network, and sensor nodes respond back with a reply message. When two beacons receive the reply of a sensor node that is considered as a localized node, the sensor nodes which are already localized will not respond back to the beacon messages, which reduce delay in the network for node localization.
Oil Phase Velocity Measurement of Oil-Water Two-Phase Flow with Low Velocity and High Water Cut Using the Improved ORB and RANSAC Algorithm
Authors: Han Lianfu , Wang Haixia , Cong Yao , Liu Xingbin , Han Jian , Fu Changfeng 
Published: June 2020

Abstract
Velocity is an important parameter for fluid flow characteristics in profile logging. Particle tracking velocimetry (PTV) technology is often used to study the flow characteristics of oil wells with low flow velocity and high water cut, and the key to PTV technology is particle matching. The existing particle matching algorithms of PTV technology do not meet the matching demands of oil drops in the oil phase velocity measurement of oil-water two-phase flow with low velocity and high water cut. To raise the particle matching precision, we improved the particle matching algorithm from the oriented FAST and the rotated BRIEF (ORB) feature description and the random sample consensus (RANSAC) algorithm. The simulation and experiment were carried out. Simulation results show that the improved algorithm not only increases the number of matching points but also reduces the computation. The experiment shows that the improved algorithm in this paper not only reduces the computation of the feature description process, reaching half of the computation amount of the original algorithm, but also increases the number of matching results, thus improving the measurement accuracy of oil phase velocity. Compared with the SIFT algorithm and the ORB algorithm, the improved algorithm has the largest number of matching point pairs. And the variation coefficient of this algorithm is 0.039, which indicates that the algorithm is stable. The mean error of oil phase velocity measurement of the improved algorithm is 1.20 %, and the maximum error is 6.16 %, which is much lower than the maximum error of PTV, which is 25.89 %. The improved algorithm overcomes the high computation cost of the SIFT algorithm and achieves the precision of the SIFT algorithm. Therefore, this study contributes to the improvement of the measurement accuracy of oil phase velocity and provides reliable production logging data for oilfield.
KEDUDUKAN SITA PIDANA TERHADAP SITA UMUM KEPAILITAN
Authors: Fernando Josua , Nugroho Susanti Adi 
Published: June 2020

AbstractThe Court Ruling claim that a debt discharge a bankruptcy inflict a debtor will loose his right to dominate the wealth which include the bankruptcy property. The whole riches of a debt who’s discharge bankruptcy, automatically will be placed to the general confiscation. The general confiscation of the debt property has intend to protect the interest of the creditor of all the deeds of the debt which can disserve the property of a bankruptcy and stop the execution of the debt property with all the creditors to get the debt repayment. The general confiscation itself is a form of confiscation which known in civil law regime especially bankruptcy in legal perspective as a private law. Confiscation in a criminal case aim to prove criminal act. Article 38 of a Criminal Code Procedure regulate that the investigator can undertake the property of confiscation that placed in the general confiscation. However, Article 46 of a Bankruptcy and Suspension Of Obligation For payment Of Debt regulate that all confiscation become vanished when the property has confiscated in the general confiscation. When this two confiscation situated in the property, The confiscation in criminal case will precede the general confiscation. That matter is because of the confiscation in a criminal case is part of public law that aimed to protect our public interest.
PENERAPAN ASAS LEX POSTERIORI DEROGAT LEGI PRIORI TERHADAP ANAK KORBAN PENCABULAN (STUDI KASUS PENGADILAN NEGERI JAKARTA UTARA NOMOR 195/Pid.Sus/2015/PN.Jkt.Utr)
Authors: . Wendi , Wijaya Firman 
Published: June 2020

Abuses against Children are included in Extraordinary Crimes and often occue mainly to minors. This is due to the lack of government in acting on the case. In this case, it occurred in a 3 years old boy who is abused by his own teacher. Precisely happened on April 29, 2014 at Saint Monica Sunter during the dance extracurricular activity. The victim’s mother found out about it when the victim complained of pain in the part of his penis after the victim was abused. At that moment the victim’s mother reported the incident of abuse to the authorities. It was then estabilished that the defendant was guilty of fulfilling the elements of an offense against the victim. So the defendant must be held in the prison until the court process is decided. In the indictment given by the public Prosecutor charged with using Article 82 of Law Number 23 year 2002 on Child Protection. However, the Prosecutors should be using the updated Law which is Article 82 of Law Number 35 year 2014 on the protection of new Children in the Prosecution. This proves that the Prosecutor is less careful in preparing the indictment given so as to cause legal irregularities that should in decideng the case reflects the legal objectives of Justice, certainty and expediency. Where as in legislation known as the principle of lex posteriori derogat legi priori that should be in the case of obscenity this principle is enforced. Because in the new Child protection Law more confirms the perpetrator of abuse if it is proven to commit abuse then the punishment is heavier that the old Law, and more to give special protection guarantee to the victim of abuse so that its rights will not be violated.