bluuebunny/crossref_metadata_2025 huggingface dataset:
TWITTER SENTIMENT ANALYSIS FOR PRODUCT REVIEWS TO GATHER INFORMATION USING MACHINE LEARNING TECHNIQUE
Authors:   Department of Computer Science and Engineering, East West College of Engineering, Yelahanka New Town, Bangalore, Karnataka, 560064, India., G.K Madhura , Shetteppanavar Puneet ,   Department of Computer Science and Engineering, East West College of Engineering, Yelahanka New Town, Bangalore, Karnataka, 560064, India.
Published: April 2022

The concept of sentiment analysis of twitter data and semantic analysis with the augmentation of machine learning methodologies has become a hot topic in recent years. Many strategies have been presented in the area of sentiment analysis in the last few years to evaluate social media data and produce a graphical presentation towards a certain business. Sentiment analysis shows you how people feel about a product or brand when penning a social media message about it. This is crucial information if you know that one persons opinion of a firm or its products might impact the opinions of others. Like many other online data mining systems, sentiment analysis platforms are based on Support Vector Machine algorithms. This algorithm, in this situation, recognises specific terms as positive or negative, indicating whether or not your brand is being adored or floored. So, in this paper, we first pre-processed the dataset, then extracted the adjectives from the dataset that have some meaning (feature vector), then selected the feature vector list, and finally applied machine learning based classification algorithms such as Nave Bays, Maximum entropy, and SVM, as well as the Semantic Orientation based WordNet to extract synonyms and similarity for the content feature. Finally, we evaluated the classifiers performance in terms of recall, precision, and accuracy.
ANALYSIS OF SURFACE WATER QUALITY BY PHYSICO-CHEMICAL PARAMETERS IN RICE (ORYZA SATIVAL.) FIELDS IN ONATTUKARA WETLANDS REGIONS, KERALA
Authors:   Postgraduate Department of Botany and Research Centre, University College, University of Kerala, Thiruvananthapuram-695034, Kerala, India., S. Kalaiselvan , D.K Sathish ,   Postgraduate Department of Botany and Research Centre, University College, University of Kerala, Thiruvananthapuram-695034, Kerala, India., S. Subramaniyan ,   Postgraduate Department of Botany and Research Centre, University College, University of Kerala, Thiruvananthapuram-695034, Kerala, India.
Published: April 2022

This report presents a study of surface water physico - chemical parameters in rice fields in the Onattukara wetland zone. The research was carried out for a year, from July 2017 to June 2018. Water is highly polluted with different contaminants. Human existence depends on the availability of water. Water samples were taken monthly from surface water and examined for Temperature(Ã‚Â°C), pH, Electrical conductivity, Turbidity(JTU), Chloride(mg/l), Fluoride(mg/l), Sodium(mg/l), Potassium(mg/l), Nitrate(mg/l), Total alkalinity(mg/l), Magnesium(mg/l), Iron(mg/l), Calcium(mg/l), Sulphate(mg/l), DO (Dissolved oxygen) (mg/l), BOD (Biological oxygen Demand) (mg/l). The goal of this research was to determine the present state of Physico-chemical properties.
A REVIEW ON DESCENDANTS OF LEACH PROTOCOL - A PRAGMATIC APPROACH
Authors:   Teaching Fellow, A.C.Tech, Anna University, Chennai-25., Dilip Charaan R.M. , Therasa P.R. ,   Teaching Fellow, A.C.Tech, Anna University, Chennai-25., Malathi P. ,   Assistant Professor, Dhanalakshmi Srinivasan College of Engineering and Technology, Mahabalipuram.
Published: April 2022

A Wireless Sensor Networks (WSN) is a Wireless Networks comprising of spatially disseminated independent sensors to screen physical or natural circumstances. The battery power in these sensor nodes assumes a significant part in expanding the life expectancy of the nodes. Hierarchical routing protocols are the most popular protocols to limit the energy utilization when compared to Flat Routing. Low-Energy Adaptive Clustering Hierarchy (LEACH) is a traditional Cluster based routing protocol for WSNs having great execution, energy productivity, and successful in elongating the lifetime of the network life time by consuming a little level of the complete disseminated energy in the framework. This paper reviews the condition of craft of various progressed, enhanced routing protocols that have been created from the LEACH. This paper features a portion of the downsides and issues of LEACH how these issues are vanquished by the relatives of LEACH. Appraisal of descendants of LEACH routing protocols in advised with regards to versatility, self-association, and conveyance of nodes, network control, Hop count, energy proficiency, and utilization of data.
PRESCRIPTION ERROR ANALYSIS IN A TERTIARY HEALTH CARE CENTRE, IN RURAL KARNATAKA, INDIA
Authors:   Assistant Professor, Ophthalmology, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND., Ravindra Reshma , B.R. Usha ,   Associate Professor, Ophthalmology, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND., Yasser Mohammed ,   Intern, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND., Singh Neha ,   Intern, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND., Rakesh Nelluri ,   Intern, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND.
Published: April 2022

Background: The focus of healthcare technology now, is to improve the quality of care and safety to the patients, a key component of which is medication-related errors. Medication errors result in an increase in the rate of hospital admissions and expenditure for the patient. Thus, it is important to identify the cause of these errors and develop a solution to curb their occurrence. Materials &Methods:A prospective, cross-sectional study was conducted on 300 randomly collected prescriptions, in a tertiary care hospital, Kolar, for a period of 2months, after obtaining the Institutional Ethical Clearance. The prescription writing errors such as errors of Omission and Commission were documented. Results: The data were analysed by using descriptive and inferential statistic.There were 93.7% omission errors (281 prescriptions), 66.3% of commission errors (199), and a total of 97.63% (292) of errors. Conclusion:The prescribers and dispensers play an important role in prescription errors and early detection and timely intervention of these errors can increase the quality of care to the patients. The findings of this study can serve as a baseline for policymakers for monitoring drug therapy and improving the process. It also draws attention to prescribing practices from across the country and among other countries, all over the world.
A COMPARATIVE STUDY IN THE PERFORMANCE OF THE FIRST TAKERS OF THE LICENSURE EXAMINATION FOR TEACHERS (LET): AN ACTION RESEARCH
Authors: M. Valle Azel , A. Brobo EdD Martina
Published: April 2022

The analysis of the data shows that there is a significant increase in the performance of the LET takers in the general education component of the LET when the number of sessions was increased in 2018 in-house review sessions. This means that the intervention was effective and impressive to both BSED and BEED programs. In like manner, there was also a slight increase in the performance of the BSED takers in their area of specialization. On the other hand, there was a stable performance in the professional education component of the LET for the two consecutive years. From the results of this study the researchers suggests that the CTE may continually review the curriculum to include varied professional activities and the inclusion of board type tests during the major term exams. More so, the components and competencies to be tested in the LET and the equivalent weights will be explained to the students during their junior and senior years, for them to be prepared when they will take the subject educational synthesis and the in-house review program.
FDM 3D PRINTING PROCESS PARAMETERS OPTIMIZATION USING TAGUCHI METHOD FOR IMPROVING THE GEAR STRENGTH
Authors:   University of Zenica, Fakultetska 1, 72000 Zenica, Bosnia & Herzegovina., Begovic Edin , Plancic Ibrahim ,   University of Zenica, Fakultetska 1, 72000 Zenica, Bosnia & Herzegovina., Ekinovic Sabahudin ,   University of Zenica, Fakultetska 1, 72000 Zenica, Bosnia & Herzegovina., Sarajlic Amer ,   University of Zenica, Faculty of Mechanical Engineering, Master Degree Student, Fakultetska 1, 72000 Zenica, Bosnia & Herzegovina.
Published: April 2022

In the recent years, 3D printing has become a topic of great interest from both academic and the industrial sector through the increasing importance of Industry 4.0. This technology is based on layer-by-layer melting of materials to create a three-dimensional object. It is also known as additive production, and it is feasible through several different methods such as stereolithography, selective laser melting and sintering (SLM, SLS), these are just some of the examples, but fused decomposition modeling (FDM) has become the most interesting technique.This paper seeks to analyze the fracture strength (torque) of coupled gears made out of PLA plastic produced by the 3D printing process. To reduce the number of experimental measurements, the Taguchi L8(27) orthogonal array was used to analyze the influence of factors on two level. Investigated factors were: wall thickness, infill and number of infill lines, layer height, temperature, cooling and speed. Finally, optimization of most influential factors according to maximum torque was preformed, using Taguchi method too.
AN UNCOMMON COMBINATION OF NEUROFIBROMATOSIS TYPE 1 WITH INTRAORAL HAEMANGIOMA AND PORT WINE STAIN: A CASE REPORT
Authors:   Postgraduate, Oral Medicine and Radiology, AJ Institute of Dental Sciences, Kuntikana, Mangalore. 575004. Karnataka, India., Shetty Nakshatra , Kini Raghavendra ,   Professor and Head, Oral Medicine and Radiology, AJ Institute of Dental Sciences, Kuntikana, Mangalore. 575004. Karnataka, India., P. Bhandarkar Gowri ,   Reader, Oral Medicine and Radiology, AJ Institute of Dental Sciences, Kuntikana, Mangalore. 575004. Karnataka, India., Shetty Tejkiran ,   Postgraduate, Oral & Maxillofacial Surgery, AJ Institute of Dental Sciences, Kuntikana, Mangalore. 575004. Karnataka, India., R. Kashyap Roopashri ,   Reader, Oral Medicine and Radiology, AJ Institute of Dental Sciences, Kuntikana, Mangalore. 575004. Karnataka, India., Shetty Devika ,   Assistant Professor, Oral medicine and Radiology, AJ Institute of Dental Sciences, Kuntikana, Mangalore. 575004. Karnataka, India., Kumar Rao Prasanna ,   Professor, Oral Medicine and Radiology, AJ Institute of Dental Sciences, Kuntikana, Mangalore. 575004. Karnataka, India.
Published: April 2022

Neurofibromatosis (NF) is a group of genetic disorders that primarily affect neural tissues. NF type I also known as Von Recklinghausens diseaseis the most common type of NF, it accounts for about 90% of all cases, with a prevalence rate of one in 3,000 births. The disease is often characterized by complex and multicellular neurofibroma which may lead to different complications for an affected individual throughout life, so it is important to throw light on type I NF.
INCIDENCE OF SURGICAL SITE INFECTION IN ABDOMINAL SURGERY IN A TERTIATY CARE CENTER IN ASSAM
Authors:   Professor and HOD, Department of General Surgery, Jorhat Medical College, Jorhat, Assam., Baro A.C , R. Anoop ,   Post graduate trainee, Department of General Surgery, Jorhat Medical College, Jorhat, Assam., Rongpi R. ,   Associate Professor, Department of General Surgery, Jorhat Medical College, Jorhat, Assam., Barua Purnima ,   Associate Professor, Department of Microbiology, Jorhat Medical College, Jorhat, Assam.
Published: April 2022

Background: Despite the advancement in sterilization methods, aseptic and antiseptic practices, still post-operative surgical site infections are a dilemma for practicing surgeons, not only that it increases the morbidity and mortality of the patient but also it increases the money expenditure and also post op hospital stay. Incidence of surgical site infections in each hospitals is thereby important so as to have a check for improving quality of patient care. Materials and methods: The study was conducted from June 2020 to May 2021 in a total of 150 patients in JMCH. Wound swabs were collected for isolating the organisms causing the infection, whenever an infection is detected according to CDC/NNIS criteria. Results: Incidence of surgical site infection in abdominal surgery was found to be 13.3% in our study. The most common organism causing wound infection was Klebsiella. Conclusion: The study shows that the incidence of SSI is similar to other studies.
TESTES DIAGNÓSTICOS PARA O SARS-COV-2: UMA REFLEXÃO CRÍTICA
Authors: Oliveira Marcone , Watanabe Aripuanã , Cesar Dionéia , Candido João , Lima Nerilson , Moreira Olívia , Chellini Paula
Published: April 2022

DIAGNOSTIC TESTS FOR SARS-COV-2: A CRITICAL REFLECTION. The new coronavirus, called Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), was discovered in late December 2019 after cases were reported in the city of Wuhan, China. In January 2020, the World Health Organization (WHO) officially declared the Coronavirus Disease 2019 (COVID-19) as a pandemic, which has an official record of around 500 million cases and more than 6.0 million deaths in worldwide. An important factor in controlling the pandemic is the development of more effective and efficient diagnostic tests. In this context, this review has as its main proposal to discuss the effective differences between the possible diagnostic tests, the implications of molecular and serological methods available on the market and the analytical and clinical parameters involved in the development and application of these methods.
The relationship between kinesiophobia, physical performance and balance in lower extremity lymphedema patients
Authors: PEHLİVAN Büşra , ERDOGANOLU Yıldız , OF Nur Selin , TÜZÜN Şansın
Published: April 2022

Purpose: Lymphedema is an important situation that causes physical and psychological life-threatening problems. This study researches kinesiophobia in lower extremity patients and scrutinizes the relationship between kinesiophobia, physical performance and balance.

Methods: This cross-sectional controlled study included 40 individuals diagnosed with lower extremity lymphedema with a mean age of 42.58±10.30 years and 31 healthy individuals with a mean age of 40.65 ± 9.53 years. The evaluation of patients with unilateral lymphedema without cognitive and visual problems and those without orthopedic and neurological disorders that would prevent walking and those without heart disease and hypertension was carried out between November 2018 and March 2019. Static balance was evaluated with standing on One leg Balance Test, fear of movement was evaluated with Tampa Scale Kinesiophobia and functional levels were evaluated with Timed Up and Go test.

Results: Static balance and physical performance of lower extremity lymphedema patients were found to be statistically different than healthy individuals (p
Legal Analysis of Real Estate Investment Trust Regulation in India
Authors: Kashyap Amit Kumar , Batwara V.
Published: April 2022

As has been the case around the world, the real estate sector has played a pivotal role in the overall growth process of the Indian economy. Since the privatisation of the Indian economy in 1991, the government of India has introduced a variety of investment instruments to capture the interest of millions of potential investors over the last three decades. One such instrument is the Real Estate Investment Trust (REIT). In order to make the market more accessible to investors interested in REIT investments, the Draft Regulations were introduced in 2007. Following numerous modifications, the REIT regulations were finally ratified in 2014 by the Securities and Exchange Board of India. The Indian REIT regulations are aimed at providing an organized market of retail investors in aprofessionally managed ecosystem. However, since its launch in 2014, the REIT regime in India has failed to attract the expected number of investors. Through this paper, the legal structure of REITs in India is reflected, along with changes experienced up to the 2019 amendment. This study also takes a comparative approach in examining the structural aspects of Indian regulations in comparison to those of other countries, and comes up with some recommendations for the improvement of REIT regulations in India.
Peran Perempuan Pesisir Terhadap Ketahanan Keluarga Pasca Bencana Alam Gempa Bumi Di Desa Maliaya, Kabupaten Majene Tahun 2021
Authors: Susanti Eni
Published: April 2022

Penelitian ini bertujuan untuk mengetahui peran perempuan pesisir pasca bencana alam gempa bumi di Desa Maliaya, Kabupaten Majene , serta upaya mereka mengatasi masalah ekonomi dan sosial dalam keluarga. Kami juga mengamati upaya perempuan sebagai cara untuk menghilangkan trauma pada anggota keluarga mereka. Penelitian ini menggunakan pendekatan kualitatif dengan mewawancarai delapan ibu rumah tangga yang berpengalaman langsung dalam menghadapi bencana alam. Penelitian dilakukan di desa maliaya, kecamata, Malunda. Kabupaten Majene, Provinsi Sulawesi Barat. Pengumpulan data dilakukan dengan observasi dan wawancara mendalam. Teori yang digunakan dalam penelitian ini adalah tentang perempuan pesisir, peran perempuan dalam keluarga maupun masyarakat, ketahanan keluarga serta gender.  Hasil dari penelitian ini adalah bahwa Perempuan pesisir di Desa Maliaya memegang peranan penting dalam menjaga ketahanan keluarga pasca terjadinya gempa bumi yang melanda Kabupaten Majene. Secara ekonomi mereka sudah memenuhi indikator ketahanan keluarga, namun secara fisik, penulis masih banyak menemukan mereka yang belum memiliki rumah pribadi dan masih tinggal bersama orang tua. Keluarga di Desa Maliaya terutama perempuan dan anak- anak juga masih merasakan trauma pasca terjadinya gempa bumi yang melanda Kabupaten Majene. Perempuan pesisir di Desa Maliaya juga sudah menerapkan kesetaraan gender kepada keluarga dan juga anak-anaknya.
Analysis, Analytic and Machine Learning Based Prediction of COVID-19 Diagnosis
Authors: Kumar Deepak , Savant Dr. Preeti
Published: April 2022

Abstract: Coronavirus was first found in Wuhan, China in December 2019. It is one of the most exceedingly terrible pandemics in mankind's set of experiences. Ongoing examinations announced that COVID-19 is sent among people by drop disease or direct contact. Coronavirus pandemic has attacked in excess of 210 nations all over the planet and as of February eighteenth, 2021, soon after a year has passed, an aggregate of 110,533,973 affirmed instances of COVID-19 were accounted for and its loss of life came to around 2,443,091. Coronavirus is another individual from the group of Covids, its inclination, conduct, transmission, spread, counteraction, and treatment are to be explored. By and large, a tremendous measure of information is amassing in regards to the COVID-19 pandemic, which makes hot exploration subjects for AI analysts. Be that as it may, the terrified total populace is asking when the COVID-19 will be finished? This study considered AI ways to deal with anticipate the spread of the COVID-19 in numerous nations. The exploratory consequences of the proposed model showed that the by and large R2 is 0.99 according to the viewpoint of affirmed cases. An AI model has been created to anticipate the assessment of the spread of the COVID-19 disease in numerous nations and the normal time frame after which the infection can be halted. Universally, our outcomes determined that the COVID-19 diseases will significantly decline during the principal seven day stretch of September 2021 when it will be going to an end instantly a short time later.
Personality Prediction with CV Analysis
Authors: Narwade Rutuja , Palkar Srujami , Zade Isha , Sanghavi Nidhi
Published: April 2022

Abstract: When it comes to demography, personality plays a crucial role in deciphering a person’s caliber and work ethic. An individual’s personality becomes a vital resource for the organization that he/she works for. One way to adjudicate an individual’s personality is to frame a questionnaire or by analysis of their resume (CV). In the traditional sense, when it comes to hiring an individual, employers manually filter through the applicants’ CVs as per the job description. In this paper, we render a system that motorizes the eligibility check and aptitude evaluation of a candidate in the shortlisting strategy. To overcome the predicaments encountered in the traditional procedure, a web application has been curated for aptitude analysis (personality evaluation) and CV analysis. The system’s primary aim is to analyze the professional ability of the candidate based on the uploaded CV and the prepared questionnaire. The system employs Natural Language Processing (NLP) for the CV analysis and Machine Learning (ML) for the personality evaluation. The output of the curated system aids in applicant filtering. Further, the resulting scores help in evaluating the qualities of the applicant such as the kind of mindset he/she has and the skills he/she has accumulated over time. This approach has been proposed keeping in mind the hurdles encountered while analyzing an applicant during the hiring process and aims in providing a seamless system that will be able to aid in making a fair decision in the selection process. Keywords: Personality Prediction, CV Analysis, Machine Learning, Natural Language Processing, Big Five Personality Model, Psychometric Analysis, Hiring, and Selection.
Experimental Investigation of the Friction Stir Welded Dissimilar Aluminium Alloys
Authors: Singh Gurpreet , Saini Sachin , Rana Ajay
Published: April 2022

Abstract: Friction stir welding is the solid-state welding method that is used to weld mostly aluminium alloys. A cylindrical tool with a shoulder and pin rotates at high rpm is penetrated at the interface between two materials to be welded. The high rotational speed causes the material to flow plastically and the joint is formed with the traverse movement of the tool. The tool profile, material nature, rpm of tool, traverse speed are the major factors that affect the weld quality. In this research Al 1100 and Al 6061-T6 aluminium alloys were used and the joint is made using Friction Stir Welding. The joint is then tested for the impact strength, tensile strength and microhardness. The tensile test done on Universal Testing Machine and the highest strength was 202.56Mpa found at 1000 rpm and 12mm/min traverse speed. In the impact Charpy test the highest strength found is 0.1494 kj/mm2. The micro hardness test gives the highest value of 52hv at the weld zone at 100 rpm and 12mm/min weld speed. Keywords: Friction Stir Welding, Aluminium alloys, tensile strength, impact strength, Micro hardness.
Blended learning berbasis project-based learning untuk meningkatkan kemampuan berpikir kritis
Authors: Permana Fendy Hardian , Chamisijatin Lise , Zaenab Siti
Published: April 2022

Today’s technology plays a critical role in human activities, including education. However, it is shown that the integration of technology into education did not improve students’ critical thinking skills. This study aims to determine the effect of blended learning through Edmodo based on project-based learning (PBL) to improve critical thinking skills. Quantitative approach was employed with a quasi-experimental method. Samples of this research were students of the undergraduate Biology Education Program, Universitas Muhammadiyah Malang. These samples took Learning Strategy subject with class A as the experimental group, and class B as the control group. Results show that blended learning based on PBL significantly improved students’ critical thinking skills.
Efektivitas Pola Tanam Dan Sistem Distribusi Bunga Pacar Di Subak Desa Singapadu Kaler
Authors: Setena Made , Swabawa Agung Putu
Published: April 2022

Penelitian ini dilakukan  di subak yang ada di Desa Wisata Singapadu Kaler. Tujuan penelitian ini adalah untuk mengetahui efektivitas penerapan pola tanam dan sistem distribusi bunga pacar yang dilakukan oleh para petani bunga pacar, sehingga dapat membantu menerapkan pola tanam dan sistem distribusi yang efektif yang diterapkan dalam meningkatkan pendapatan petani yang menanam bunga pacar di Desa Singapadu Kaler. Pengumpulan data yang dilakukan dengan menggunakan metode observasi, wawancara, dokumentasi,  dan studi pustaka. Alat analisis yang digunakan untuk Teknik analisisis kuantitatif yaitu teknik untuk menganalisis data yang berupa angka dengan  menggunakan alat analisis, yang berupa: Analisis  BCR  (  Benefit  Cost  Ratio  ) dan Analisis Profit Margin,  yaitu  analisis  untuk  melihat  efektivitas pola tanam yang dikaitkan dengan sistem distribusi yang digunakan. Sedangkan untuk mgalisis data kualitatif mengunakan teknik analisis deskriptif, yaitu menguraikan dan membantu analisis kuantitatif mengambil kesimpulan. Berdasarkan hasil analisis menunjukkan ada  para petani yang menerapkan pola tanam dengan sistem kontinyu dan ada yang menerapkan sistem intermitten (berselang). Pola tanam dengan sistem kontinyu lebih menguntungkan dari sistem intermtten. Untuk itu, sebaiknya para petani lebih efektif menerapkan pola tanam dengan sistem kontinyu dengan perbaikan pemeliharaan tentang pemupukan dan penyemprotan obat bunga yang lebih intensif. Sistem distribusi yang diterapkan oleh para petani pacar adalah sistem tidak langsung dengan menjual bunga pacarnya kepada agen, tetapi tidak langsung kepada konsumen. Sistem ini sudah efektif, namun kurang maksimal. Setelah dilakukan analisis perbandingan dengan sistem ditribusi langsung  dengan tiga sasaran pasar yang berbeda, sistem yang diterapkan kurang efektif. Dari tiga alaternatif yang dianalisis, sistem distribusi langsung dengan sasaran pasar hotel paling efektif dibandingkan sasaran pasar Mambal dan pasar luar Mambal. Untuk memenuhi kebutuhan sasaran hotel, sangat perlu menjaga kualitas bunga pacar yang selalu dalam kondisi segar dan kontinyuitas ketersediaannya yang harus dijaga.
Gross Domestic Product, BI Rate dan Sesitivitas Kurs Terhadap Return Saham Perusahaan Terindeks LQ45
Authors: Aryawan Gede
Published: April 2022

Penelitian hanya fokus pada faktor-faktor non fundamental atau faktor sistematis yang mempengaruhi return saham perusahaan LQ 45 yang terdaftar di Bursa Efek Indonesia dari tahun 2010 sampai 2020 atau selama 10 Tahun. Data yang digunakan untuk membuktikan hipotesis penelitian ini diperoleh melalui database osairis. Adapun Teknik analisis penelitian ini adalah regresi liner berganda. Berdasarkan pengujian hipotesis dari 3 hipotesis yaitu GDP, BI Rate dan Sensitivitas Kurs, hanya GDP yang berpengaruh positif terhadap Return Saham. Temuan lain penelitian ini bahwa 2 faktor fundamental yaitu profit margin dan Firm Size tidak berpengaruh terhadap Return Saham. Adapun keterbatasan penelitian yang perlu ditindaklanjuti oleh penelitian berikutnya yaitu agar memperluas populasi penelitian ditingkat ASEAN dengan tahun pengamatan lebih panjang. Penelitian berikutnya agar mengeksplorasi BI Rate dan Kurs dalam kondisi bergejolak serta mempertimbangkan faktor fundamental yang lain.
Numerical differentiation in photogrammetry equalization tasks
Authors: Voronin E.G.
Published: April 2022

The author presents the results of studying numerical differentiation step influence in photogrammetric equalization tasks on the main characteristics of the resulting solution. A list of the main evaluated characteristics is presented and explanations of their role in the analysis of the photogrammetric equalization results are given. Using the example of several real routes of optical-electronic space survey, experimental calculations were performed, the purpose of which is to establish the dependence of the inverse photogrammetric serif’s main solution characteristics at the stage of numerical differentiation. The results of the equation calculations are analyzed and a conclusion is made on the instability of the estimated characteristics and not quite satisfactory outcome of equalization when assigning a step of numerical differentiation through known methods. A criterion for the optimality of the numerical differentiation step in photogrammetric equation tasks is proposed and an algorithm for calculating the step based on a new standard is developed. Its essence is explained and the graphical interpretation is given. Based on experimental calculations, the effectiveness of the developed criterion is confirmed.
Ana Margarida de Carvalho e a subversiva escrita da crueldade
Authors: Soares Fonseca Carlos Henrique
Published: April 2022

Ana Margarida de Carvalho é uma das mais renomadas vozes da literatura portuguesa contemporânea. Com o objetivo de contribuir para a fortuna crítica da autora, este trabalho pretende a leitura de um de seus contos, a narrativa intitulada “Última ceia”, presente na coletânea Pequenos delírios domésticos (2017). Para tal, propõe-se como apoio teórico-crítico os estudos a respeito da estética da crueldade, tal como fizeram Artaud (2006), Gomes (2004), Santos (2004), bem como outras contribuições epistemológicas. Ademais, também procura-se conjugar as reflexões de Martins (2015) a respeito da literatura como “compromisso social e humano” (p. 18) e as possíveis relações que tal abordagem poderia estabelecer com a escrita da crueldade.
4 de junho de 1998, domingo
Authors: Llansol Maria Gabriela
Published: April 2022

Texto inédito de Maria Gabriela Llansol.
Gas sensing properties of Mg-doped graphene for H2S, SO2, SOF2 and SO2F2 based on DFT
Authors: Peng Xiao , liu dongsheng , zhao feng , Tang Chao
Published: April 2022

Sulfur hexafluoride decompositions have been studied to analyze their
adsorption properties on pristine graphene (PG) and Mg-doped graphene
(MgG). First of all, after calculating the formation energy of three Mg
doping sites, the T doping site of Mg-doped graphene is the most stable
one. Then, several characteristic structures with different orientations
and positions of the gas molecules have been used to adsorb on PG and
MgG, respectively. By calculating the adsorption energies and distance,
the most stable adsorption structure of each gas molecule is obtained.
In addition, charge transfer (Qt), the density of states (DOS)
distribution, the energy of highest occupied molecular orbital (HOMO)
and lowest unoccupied molecular orbital (LUMO) were used to further
analyze the conductivity change and chemical stability of each
adsorption system. The results indicate that the adsorption interactions
of H2S, SO2, SOF2 and SO2F2 on PG are weak. H2S adsorbed on MgG
presented physical adsorption, while the adsorption behaviors of SO2,
SOF2 and SO2F2 on MgG are chemisorption. And the adsorption strength was
SO2F2 > SOF2 > SO2. In short, MgG shows better
selectivity and higher sensitivity to SO2, SOF2 and SO2F2 than PG,
demonstrating that the MgG material can be used as suitable gas sensing
equipment based on SF6 decomposition products detection, which provides
a meaningful guide of alkaline earth metal doped graphene in the
detection of partial discharge and partial overheat in gas-insulated
switchgears (GIS).
The NF1 pathogenic mutational spectrum and variant interpretation from 134,187 individuals in a population database
Authors: Hunter-Schlichting DeVon N. , Mills Lauren J. , Crowgey Erin L. , Marsh Gregory B. , Moertel Christopher L. , Marcotte Erin L.
Published: April 2022

Genetic disorders are historically defined through phenotype-first
approaches. However, risk estimates derived from phenotype-linked
ascertainment may overestimate severity and penetrance. NF1 is a
large tumor suppressor gene and related disorders are characterized by
several major features, age of onset, variability of severity and
occurrence of complications. Pathogenic variants are associated with
increased risks of rare and common neoplasms and a large array of
clinical phenotypes in adults and children. This study compared two
variant interpretation approaches: a publicly available population
schematic and the clinical gold standard of the ACMG criteria. The
population utilized 134,187 individuals who were ascertained to not have
cancer in a cancer study from gnomAD (v2.1). A total of 103 pathogenic
and 20 likely pathogenic short variants were identified in the
population approach and 6 pathogenic and 13 likely pathogenic were
identified through the ACMG criteria. Fifty pathogenic variants were
identified to have been previously published with associated clinical
phenotypes. Malignant tumors and hematologic malignancies such as
rhabdomyosarcomas, malignant peripheral nerve sheath tumors, Watson
Syndrome, Familial Spinal NF1, optic glioma and JMML were the most
severe phenotypes identified. The recent inclusion of genetic testing in
the clinical diagnosis of NF1 syndrome increases the need to fully
understand the full scope of genotype-phenotype correlations associated
with pathogenic NF1 variants across ethnicities. The
ascertainment of individuals with germline pathogenic NF1
variants in this analysis highlights cases with potentially increased
personal adult-onset cancer risk and unknown reproductive risk of
hereditary juvenile-onset cancers.
Preparation of high purity apigenin from Adinandra nitida leaves by antisolvent recrystallization method
Authors: Wang Li , Li Shen , Yang fengjian , Zhao xiuhua
Published: April 2022

High purity apigenin(AP) was prepared by antisolvent recrystallization
method from old Adinandra nitida leaves. The procedure was as follows:
Adinandra nitida leaves were extracted by boiling water, and the
extracting solution was hydrolyzed with sulfuric acid to obtain crude
apigenin(58.9%); the purity of crude apigenin was further improved by
antisolvent recrystallization method. A satisfactory purity(98.47%) and
yield(86.65%) was obtained under the optimum purifying condition.
Scanning electronic microscopy(SEM),differential scanning
calorimetry(DSC), Fourier transform infrared spectroscopy(FTIR) and
HPLC-MS/MS were investigated.
Separation, purification and characterization of a novel dextran produced by Leuconostoc Mesenteroides CICC-21725
Authors: Zhong Hua , Yuan Yu , Qin Qin , Zhang Yirui , Li Mei
Published: April 2022

In this study, a novel water-soluble exopolysaccharide—dextran,
biosynthesized by Leuconostoc Mesenteroides CICC-21725 was separated,
purified, and comprehensively characterized. The yield of purified
dextran was 30.50 g/L and, the weight-average molecular weight (Mw) was
8.39 × 107 Da. The structure of the purified dextran determined by
FT-IR, and 1H,13C NMR spectroscopy demonstrated that the dextran was of
α dextran type, mainly containing α-(1→6) glycosidic bonds. The
morphological observation by SEM and AFM elucidated that dextran was a
cluster of micro-nano size irregular spherical particles with a rough
surface. The purified dextran obtained has good thermal stability. The
water absorption rate of the dextran product was 22.61%, and the
viscosity was 10.17 mPas.
DNA Sequencing Analysis of Cystic Fibrosis Transmembrane Regulator Gene Identifies Cystic Fibrosis-Associated Variants in the Severe Asthma Research Program.
Authors: Izquierdo Manuel E. , Marion Chad R. , Moore Wendy , Raraigh Karen , L Jennifer Taylor-Cousar , Cutting Gary , Ampleford E. , Hawkins Gregory A. , Zein Joe , Castro Mario , Denlinger Loren C. , Erzurum Serpil , Fahy John , Israel Elliot , Jarjour Nizar , Mauger David , Levy Bruce D. , Wenzel Sally , Woodruff Prescott , Bleecker Eugene , Meyers Deborah A. , Ortega Victor E.
Published: April 2022

Background:  Heterozygote carriers of potentially pathogenic
variants in the cystic fibrosis transmembrane conductance regulator (
CFTR) gene have increased asthma risk. However, the frequency and
impact of CFTR variation among individuals with asthma is
unknown. Objective: To determine whether potentially
pathogenic  CFTR variants associate with disease severity and
whether individuals with two potentially pathogenic variants exist in a
severe asthma-enriched cohort . Methods: We analyzed sequencing
data spanning a 190.5Kb region of  CFTR in participants from the
Severe Asthma Research Program (SARP1-3). Potentially pathogenic, rare 
CFTR variants (frequency<0.05) were classified as
CF-causing or of varying clinical consequences (VVCC) (CFTR2.org).
Regression-based models tested for association between 
CFTR genotypes (0-2 potentially pathogenic variants) and severity
outcomes. Results: Of 1401 participants, 9.5% (134) had one
potentially pathogenic variant, occurring more frequently in
non-Hispanic white (NHW, 10.1% [84 of 831]) compared to African
American individuals (AA, 5.2% [22 of 426]). We found ≥2
potentially pathogenic  CFTR variants in 1.4% (19); 0.5% (4) of
NHW and 2.8% (12) of AA. Potentially pathogenic  CFTR variant
genotypes (≥1 or ≥2 variants) were not cumulatively associated with lung
function or exacerbations. In NHW, we found three F508del compound
heterozygotes with F508del and a VVCC (two
5T;TG12[c.1210-11T>G] and one Arg1070Trp) and a
homozygote for the VVCC, 5T;TG12. Conclusions: We found
potentially pathogenic  CFTR variants within a severe
asthma-enriched cohort , including three compound heterozygote genotypes
variably associated with CF in NHW individuals. These findings provide
the rationale for  CFTR sequencing and phenotyping of CF-related
traits in individuals with severe asthma.
Sensory Evaluation of Doughnuts made with Dates instead of Sugar as Sweetener.
Authors:   Department of Hospitality Management Technology Lagos State University of Science & Technology Ikorodu, Lagos State, Nigeria, Emun Helen
Published: April 2022

A doughnut is a fried dough that has been leavened. For different varieties, different toppings and flavorings are applied, such as sugar, dates, chocolate, or maple glaze. These toppings or sweeteners are met with different customer reactions and have a direct relationship to sales turnover hence this study proposes to undertake a sensory evaluation of doughnuts made with dates instead of refined sugar as a sweetener. The study adopted a comparative research design. In this research, 10 selectively chosen lecturers of Hospitality Management Technology was selected as experienced panelist to carry out the comparism. The study was carried out in Ikorodu Metropolis, Lagos State. From the reports, 40% of the respondents stated that doughnut A (Sugar Sweetened) tasted better, 40% of them however believed that doughnut B (Date Sweetened) tasted better while 20% of them didn’t see a significant difference in the taste of both doughnuts. As regards the texture, 60% of the respondents stated that doughnut A (Sugar Sweetened) had a better feel and texture, 40% of them believed that doughnut B (Date Sweetened) had a better feel and texture while 20% of them didn’t see a significant difference in the feel and texture. Final comparison as regards the appearance of both doughnuts showed from 40% of the respondents that doughnut A (Sugar Sweetened) had a better appearance. 20% of them however believed that doughnut B (Date Sweetened) looked better than the doughnut sweetened with sugar and a last 40% of them didn’t see any significant difference in the appearance of both doughnuts. Keywords: Sensory evaluation, dates, sugar, doughnuts
Standardisoinnin tutkimus pluralismin paineessa
Authors: Sorjonen Jenna
Published: April 2022

Arvioitu teos
Wendy Ayres-Bennett & John Bellamy (toim.): The Cambridge handbook of language standardization. Cambridge Handbooks in Language and Linguistics. Cambridge: Cambridge University Press. 816 s. isbn 9781108559249.
ARBUSCULAR MYCORRHIZAE FUNGI AND SUSTAINABILITY OF ARTISANAL GOLD MINING WASTE DISPOSAL SITE REVEGETATION
Authors: Adyari Bob , Supriatun Titin , Rossiana Nia , Kramadibrata Kartini
Published: April 2022

Mining areas is associated with barren, highly altered soil structure, poor soil nutrients and high heavy metals concentration. Those condition, in some way may influence plant and its microbial symbion adaptation in order to establish vegetation. Arbuscular Mycorrhizae Fungi (AMF) form symbiosis to plant and provide both side beneficial. Because of its importance, AM F are addressed as important aspect in revegetation. In this paper we describe about AMF present in Artisanal Gold Mining (AGM) waste disposal site and furthermore we review about AMF adaptation in facing climate change. AMF spore and colonization were observed under microscope. Generally, 5 AMF species from genus Glomus and Acaulospora had been found. AMF Spore density varied from 8-162 spore/ 150 gram soil. Root colonizations were found in 8 plant species with percentage range from very low to high category. The highest concentration of mercury (135,4 ppm), Pb (51,4 ppm), and Cyanide (5,6 ppm) is followed by supreme AM diversity (4 species), spore density ( 162/150 gram soil), colonization percentage (high category), and plant diversity (6 species). The plant diversity was decreasing along with the low diversity and abundance of AMF. This results indicate that indigenous AMF can colonizes and promote plant diversity in tailing and potentially can be used to promote revegetation. Elevated C  seems play role in enchancing AMF colonization but in soil with low available nitrogen, AMF are indicated to promote carbon loss. Furthermore, higher temperature may result in lower glomalin, protein produced by AMF which function in water-stability of soil aggregate.
Role of Chest Computed Tomography in Patients with COVID-19 for Triaging
Authors:   Department of Dentistry, Hilla University College, Babylon, Iraq., Hussein Hajir Hassan
Published: April 2022

Background: Coronavirus is detected utilising radiological images obtained by a simple scanning technique, such as computed tomography (CT). The current study looked at how chest CT changed during hospitalisation to better understand and diagnose COVID-19.Aim: To see if a chest CT scan could help in COVID-19 patients with limited PCR diagnostic capabilities, early isolation, contact tracing, and therapy. Also to find the association of COVID-19 mortality with High aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels.Method: The current study included 40 COVID-19 patients from Morgan Hospital Hilla. Two certified radiologists independently obtained and evaluated CT scans for 40 COVID-19 patients, and their findings were presented in Hillah city only referral hospital approved by the government to admit COVID-19 patients. Blood tests of COVID-19 people were examined for ALT (SGOT) and AST (SGPT) to evaluate how much damage they had to their livers.Results: The percentages tree in bud, LAP, pleural elusion, crazy paving and honeycombing were present in lower percentage (4, 10%; 4, 10%; 6, 15%; 6, 15%; 2, 5% respectively), while, bilateral involvement and multiple lesions were found with higher percentage (32, 80%; 36, 90% respectively). Consolidations and GGO appeared with median percentage (12, 30%; 20, 50%) respectively. 12 patients were shown high level in SGOT (30%). 6 (15%) patients with SGPT were showed median percentage, and only 4 (10%) patients have increased alkaline phosphate.Conclusion: We conclude that chest CT scan may aid in the identification and triage of suspected or confirmed COVID-19 patients in cities with limited PCR diagnostic capabilities.
Vitamin D Levels and its Association with Inflammatory Markers, Severity and Outcome in Hospitalised COVID-19 Patients - An Indian Perspective
Authors:   Professor,  Department of General Medicine, Chettinad Hospital and Research Institute, Chennai, Tamil Nadu, India., Krishnan Durga
Published: April 2022

Background: The recent COVID-19 pandemic has taken over the world in enormous proportions like none other in recent times. Vitamin D plays an essential role in the immune system and has proven to have importance in the context of many respiratory infections. This study aims to unveil the possible correlation between vitamin D levels and disease outcome and affirm the role of hypovitaminosis D as an independent risk factor for severity in COVID 19.Methods: We studied 209 RTPCR confirmed COVID 19 positive cases. Serum 25(OH) D levels were done at the time of admission. HRCT chest and inflammatory markers (serum ferritin, D dimer, IL6 and CRP) were estimated on admission and repeated on case-to-case basis.Results: Out of 209 patients studied, 44.49% had vitamin D deficiency, 24.40% had Vitamin D insufficiency, and 31.11% had normal Vitamin D levels. Vitamin D deficiency significantly increased with advancing age. The mean vitamin D level in our study is 27.47 ± 21.86. 27.8% had mild COVID-19 disease as evidenced by HRCT imaging, 21.1% showed moderate disease, and 51.2% showed severe COVID-19. The mean values of inflammatory markers in Vitamin Ddeficient patients were as follows: D dimer (3298.88 ± 2230.14), Serum Ferritin (530.88 ± 497.14) CRP (175.34 ± 87.27) IL6 (125.39 ± 275.72). Significant correlation of Vitamin D with C reactive protein (r = -0.18, p ≤ 0.05), D-Dimer (r = -0.42, p < 0.0001), and CT severity score (r = -0.24, p ≤ 0.0001) was noted. Conclusion: In our study, Vitamin D inversely proportional levels were inversely proportional to CRP, D-Dimer, and CT severity.
Role of Inflammatory Markers in Predicting Severity and Outcome in COVID-19 Patients Attending a Tertiary Care Institute of Tamil Nadu
Authors:   Professor, Department of General Medicine, Chettinad Hospital and Research Institute, Chennai, Tamil Nadu, India., Krishnan Durga
Published: April 2022

Background:Severe acute respiratory syndrome Coronavirus 2 (SARS-COV 2) infection elicits an inflammatory response which is responsible for severe clinical manifestations, disease progression and, poor outcomes.Objectives: This study aims to assess the pattern of elevation of inflammatory markers in COVID-19 and to determine their association with clinical, radiological severity and outcome of COVID 19.Methodology: This is a retrospective single-center cross-sectional study conducted at Chettinad Hospital and Research Institute, a tertiary care Hospital in Tamil Nadu, India, encompassing a cohort of 1220 patients. The source population was all cases of COVID-19 admitted at the hospital with a confirmed diagnosis of COVID-19 using RT PCR. The data was obtained from the patient’s case sheets and laboratory investigations and from the electronic data management system. The patient’s clinical severity on admission, baseline characteristics, co-morbid illnesses, presenting complaints, vitals, and inflammatory markers like D-dimer, C-reactive protein IL-6, Serum ferritin, and Lactate dehydrogenase were collected. The data for radiological severity and outcome were coded and analysed.Results: Diabetes and hypertension were found to be the most common comorbidities in the study population; females more affected than males. Fever and cough are the most common presenting symptoms. The clinical severity of patients was found to have a significant association with radiological severity. D-dimer is having a strong correlation with disease severity and outcome at any point in time. IL-6, CRP, Serum ferritin also showed a strong correlation with outcome in COVID-19.Conclusion:Our study suggests D-dimer at any point of time in a hospitalized COVID-19 patient as a promising marker for the same. IL-6 is the next best inflammatory marker followed by CRP and Serum ferritin. LDH is the least significant one among these.