bluuebunny/crossref_metadata_2025 huggingface dataset:
Inside Out with Knowledge Management toward Internal Communication Facilitating Transformational Change Efficiency
Authors: Sawagvudcharee Ousanee , Yolles Maurice
Published: May 2022

This study is designed to focus on analyzing how to facilitate transformational change toward knowledge management and internal communication, in the form of internal marketing. It employed a case study approach (as a privatization) wherein a qualitative data collection was conducted. It used interviews to identify key issues from the perspective of those employed in the case study organization as well as the documentary methods. With special reference to Thailand, the case of the privatization of the Provincial Electricity Authority (PEA) was examined as a transformational change. The findings of the research will provide a comprehensive insight into the concept of privatization in a state-owned enterprise (SOE) in the context of internal marketing. As such the results cannot be generalized to other organizational environments because they have different complexity systems. On the other hand, the research should provide significant insights into how knowledge management in the direction of internal communication can facilitate a privatization process in a state-owned enterprise in Thailand. It is anticipated that it will present these notions in positive light, thus encouraging more widespread application to assure successful outcomes in similar projects.
Selected Investment Choices and Effect on Financial Performance of Insurance Companies in Kenya
Authors: Theuri Kiboi Boniface , Bosire Mary
Published: May 2022

The Insurance sector in Kenya contributes significantly to economic development. However, the Insurance firms face challenges that affect their financial performance. This has led to cases of insolvency, mergers, and acquisitions. An understanding of the challenges faced in this industry provides a framework for addressing the negative effects. Hence, this study sought to establish whether the way management of these firms make investment choices may be affecting their financial performance. Specifically, the study focused on four selected investment choices. These included investment in Government securities, real property, quoted ordinary shares and money market securities which were modeled as predictors of the financial performance for the sampled firms. Data was collected for 37 general insurance companies that were in operation in Kenya for the period 2013-2019. Secondary data on financial performance and investment choice for each portfolio was extracted from Aki annual reports, IRA publications and reports, as well as the companies’ websites. Return on Equity was used as a measure for financial performance. Correlation and simple regression were used to analyze data and test hypotheses. The findings showed that all these four selected investment choices had positive and significant effect on return on equity for the sampled firms.
Determinants of Internal Audit Effectiveness in Federal Public Sector Organizations in Nigeria
Authors: AminuHammayo  , Shittu Dr. Isah , Bello Prof. Ahmad
Published: May 2022

The study investigates the determinants of internal audit effectiveness in Nigeria's federal public service with reference to 28 self accounting public sector organizations operating in the North East geo-political zone, one of six such zones recognized for political expediency. Primary data was obtained from 139 valid responses out of 148 questionnaires administered on internal auditors of such organizations. Partial least square SEM technique of multiple regressions was employed for data analysis. The finding of this study revealed that the quality of internal audit work; competence; and management support were most dominant with positive significant contribution on internal audit's ability to meet its objectives while independence and information and communication technology (ICT) conversely showed negative insignificant influence. The study recommends an improvement of operational standards; compliance with Internal Audit's minimum entry requirement; its recognition as an independent organizational function; and provision of required resources by relevant government offices (OAGF; OHSF; NITDA).
Trade Shock, Inflation, Exchange Rate and Economic Growth: Empirical Evidence from OPEC Countries Using Panel Vector Autoregression
Authors: Abdullahi San Mohammed , Mukhtar Prof. Mustapha , Alexander Prof. A.
Published: May 2022

The study is empirically motivated to analyze the link between trade openness, inflation, exchange rate and economic growth among the OPEC countries by using key macroeconomic variables across member countries. The study utilizes quarterly time series data for variables including economic growth, trade openness, exchange rate, consumer price index and oil price as exogenous variable in the system for over 164 quarterly data points. Utilizing the recently introduced model of Ambrigo and Inessa (2015), the study uses panel vector autoregression model and analyze how various shocks affect macroeconomic stability of the member countries. Trading shock as well as oil price shock are analyzed and responses of other macroeconomic indicators are evaluated. Based on the estimated result for impulse response and forecasted error variance decomposition result, the study established statistically significant link between trading shock and economic growth of the member countries while oil price shock is found to have significant but weak relationship with economic growth. Babed on the finding established, the study recommends that trading shocks is the main driver of cyclical fluctuation of the OPEC's member countries economic growth. Policies are therefore prescribed to smoothen the impact of trading shocks on the economic growth of the member countries.
Does the Quality of Beauty E-commerce Impact Online Purchase Intention? The Role of Perceived Enjoyment and Perceived Trust
Authors: Mustika Drajad Veda , Wahyudi Lilik
Published: May 2022

The purpose of this paper is to examine the relationship between Website Quality, Perceived Enjoyment, Perceived Trust that can involve Purchase Intention of Skincare Products. This study will employ a theoretical lens of S-O-R (stimulus-organism-response). The proposed model is tested to 476 participant users of beauty e-commerce sites using survey approach by Lime Survey. Partial least square structural equation modelling was used for the analysis (PLS-SEM). The findings revealed that Quality of a website, Perceived Enjoyment, and Perceived Trust has a positive significant effect on Online Purchase Intention, Website Quality has a positive significant effect on Perceived Enjoyment and Perceived Trust, and Perceived Enjoyment and Perceived Trust can mediate perfectly between Website Quality and Online Purchase Intention. This paper show implication that e-retailer should improve the quality of beauty e-commerce especially on visual and display appeal quality, to facilitate and comfort consumers about their purchasing decisions, also beauty e-commerce sites should give more attention to delivery and transaction security.
The Company’s Financial Performance Before and After Acquisition (Empirical Study at PT. Eagle High Plantation, Indonesia)
Authors: Mettasari Clara Desya , Mulyana Bambang
Published: May 2022

This research aims to determine the differences in the financial performance of PT. Eagle High Plantation before and after being acquired, in 2010-2020. Financial performance is measured using 12 financial ratios: Current Ratio, Quick Ratio, Cash Ratio, Debt to Equity Ratio, Debt to Asset Ratio, Long Term Debt to Equity Ratio, Net Profit Margin, Return on Assets, Return on Equity, Total Assets Turn Over, Fixed Asset Turn Over, Working Capital Turn Over. The research design used in this research is the comparative quantitative design. The data collected was secondary data and was collected using the documentation technique. The data analysis method used in this research was the data normality test and the paired sample t-test using SPSS version 21 application. The results of this research indicate that three ratios have differences before and after being acquired: Net Profit Margin, Return on Assets, and Return on Equity. Meanwhile, nine ratios show no differences before and after being acquired, namely Current Ratio, Quick Ratio, Cash Ratio, Debt to Equity Ratio, Debt to Asset Ratio, Long Term Debt to Equity Ratio, Total Asset Turn Over, Fixed Asset Turn Over, and Working Capital Turn Over.
EFFECT OF THE WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE IN THE BERINGIN DISTRICT OFFICE OF DELI SERDANG REGENCY
Authors: Pohan Fatimah , Angkat Rahimah
Published: May 2022

Beringin District is one of the sub-districts in Deli Serdang Regency, has a Vision of "The realization of excellent service in Bringin District with Reliable Human Resource Support". This institution has the tagline that your satisfaction is our pride. But in its implementation there are still many obstacles that occur in the field so that it can hinder the desire of leaders in the sub-district in realizing that staff/employees can work effectively and efficiently. The purpose of this study is (1) To find out the condition of the work environment at the Beringin District Office of Deli Serdang Regency. (2) To find out the performance of employees at the Beringin District Office of Deli Serdang Regency. (3) To find out whether there is a significant influence between the work environment on the performance of employees in the Beringin District Office of Deli Serdang Regency. This research is quantitative research using simple regression analysis. The results showed that the work environment of the Beringin District Office of Deli Serdang Regency fell into the category of very good. The performance of employees of the Beringin District Office of Deli Serdang Regency falls into the category of very good. There is no positive and significant influence between the work environment and the performance of employees in the Beringin District Office of Deli Serdang Regency and those indicated by the correlation coefficient value (r) of 0.224 and the coefficient of determination (r2) of 0.05.
A RESPONSABILIDADE CIVIL POR ABANDONO AFETIVO DOS PAIS IDOSOS
Authors: Correia Ribeiro Filho Júlio César , de Nadai Wrobel Fernando Luiz
Published: May 2022

O presente trabalho trata sobre a responsabilidade civil por abandono afetivo de pessoa idosa pelos filhos, sobretudo no que tange o dever legal de prestar auxílio material e moral aos pais na velhice ou enfermidade. A metodologia da pesquisa caracteriza-se como do tipo descritiva e aplicada com uma abordagem predominantemente qualitativa. Para fundamentar a relevância social do tema, foi realizado um levantamento estatístico sobre o índice de envelhecimento nacional, bem como, para fundamentar juridicamente o tema, realizado o levantamento legal dos dispositivos que garantem os direitos dos idosos, complementado com a orientação da doutrina pátria e das decisões jurisprudenciais em julgados análogos. O instrumento de pesquisa utilizado foi o raciocínio dedutivo. A partir da análise de institutos jurídicos análogos, já aceitos pela jurisprudência dos Tribunais Superiores, observou-se que os dispositivos legais, os quais fundamentam a garantia de reparação por abandono afetivo dos filhos pelos pais, por exemplo, são os mesmos, e que vão ao encontro dos mesmos propósitos, a proteção da dignidade humana. Os resultados da pesquisa, portanto, evidenciaram a possibilidade jurídica da responsabilidade civil por abandono afetivo do idoso pelos filhos e sua relevância à promoção da dignidade humana desta população crescente.
DRUG-FIGHTING MODELS: NOTES FOR REFLECTION
Authors: de Oliveira Sergio Paulo , Batista de Oliveira Gilson
Published: May 2022

The drug phenomenon has increasingly demanded the attention of world Society, as its consequences interfere with the daily lives on communities in most countries. Therefore, one of the main debates on the issue concerns the strategies to be used in finding solutions to this challenge. In this sense, this article aims to presente reflections on the current models of coping with drugs. We emphasize that prohibitionism, abolitionism and harm reduction will be analized based on the theoretical contributions of several authors dedicated to the theme. We believe that this work may contribute to a deeper understanding of this problem.
Comparison of middle- and low-latitude sodium layer from a ground-based lidar network, the Odin satellite, and WACCM-Na model
Authors: Yu Bingkun , Xue Xianghui , Scott Christopher J. , Jia Mingjiao , Feng Wuhu , Plane John M. C. , Marsh Daniel R. , Hedin Jonas , Gumbel Jörg , Dou Xiankang
Published: May 2022

Abstract. The ground-based measurements obtained from a lidar network and the six-year OSIRIS limb-scanning radiance measurements made by the Odin satellite are used to study the climatology of the middle- and low-latitude sodium (Na) layer. Up to January 2021, four Na resonance fluorescence lidars at Beijing (40.2° N, 116.2° E), Hefei (31.8° N, 117.3° E), Wuhan (30.5° N, 114.4° E), and Haikou (19.5° N, 109.1° E) collected vertical profiles of Na density for a total of 2,136 nights (19,587 h). These large datasets provide routine long-term measurements of the Na layer with exceptionally high temporal and vertical resolution. The lidar measurements are particularly useful for filling in OSIRIS data gaps since the OSIRIS measurements were not made during the dark winter months because they utilise the solar-pumped resonance fluorescence from Na atoms. The observations of Na layers from the ground-based lidars and the satellite are comprehensively compared with a global model of meteoric Na in the atmosphere (WACCM-Na). The lidars present a unique test of OSIRIS and WACCM, because they cover the latitude range along 120° E longitude in an unusual geographic location with significant gravity wave generation. In general, good agreement is found between lidar observations, satellite measurements, and WACCM simulations. Whereas the Na number density from OSIRIS is slightly larger than that from the Na lidars at the four stations within one standard deviation of the OSIRIS monthly average, particularly in autumn and early winter arising from significant uncertainties in Na density retrieved from much less satellite radiance measurements. WACCM underestimates the seasonal variability of the Na layer observed at the lower latitude lidar stations (Wuhan and Haikou). This discrepancy suggests the seasonal variability of vertical constituent transport modeled in WACCM is underestimated because much of the gravity wave spectrum is not captured in the model.
Mediasi Di BP4 Dalam Mencegah Perceraian
Authors: Paryadi Paryadi
Published: May 2022

Tujuan penulisan ini mengurai faktor-faktor kurang efektifnya BP4 dan solusi urgensitasnya. Salah satu misi dari BP4 adalah mediasi untuk mencegah perceraian, tapi pelaksanaanya kurang efektif dalam mencegah perceraian. Penulisan ini menggunakan pendekatan normative. Hasil penelitian, peran BP4 saat ini belum efektif dalam menjalankan fungsinya, hal ini juga disebabkan oleh beberapa faktor (1) Posisi BP4 yang berdiri sendiri dan terpisah dengan Pengadilan Agama terkait dalam penyelesaian kasus perceraian (2) Kurangnya keperpihakan pemerintah kepada BP4 terutama dalam anggaran finansial(3) Kurangnya sosialisasi tentang fungsi BP4 kepada Masyarakat.  Solusinya regulasi UU Perkawinan Nomor 1 Tahun 1974 Pasal 39 Tentang Perceraian harus di hadapan hakim Pengadilan Agama perlu diperlukan pembaharuan dengan taqshisul qadha, re-interprestasion dan syiasah syariyah. Sosialisasi ke masyarakat lebih intens tentang urgensitas BP4.
Epistemologi Hukum Islam Sir Muhammad Iqbal
Authors: Inayati Anindya Aryu
Published: May 2022

ABSTRAK

Pembaruan Hukum Islam yang dilakukan Sir Muhammad Iqbal terjadi di awal abad ke-20. Melalui pemikirannya Sir Muhammad Iqbal menggagas pemisahan Negara Pakistan dari India dan menerapkan Hukum Islam serta menghidupkan kembali metodologi ijtihad yang sempat vacuum pada beberapa dekade sebelumnya. Penelitian ini mengupas tentang Epistemologi Hukum Islam Sir Muhammad Iqbal yang mencakup; Sumber Hukum Islam, Metodologi Hukum Islam, Validitas hukum Islam yang disampaikan Sir Muhammad Iqbal. Hasil dari Penelitian ini adalah bahwa sumber hukum Islam yaitu Al-Qur’an dan As-Sunnah, Metodologi Hukum Islam adalah ijtihad yang dimaknai oleh Muhammad Iqbal sebagai jantung dinamisasi hukum Islam dalam menjawab problematika zaman yang terus berkembang, dan Validitas Hukum Islam didapatkan dari kesepakatan Ulama (ijma’) dalam lembaga legislative Hukum Islam yang digagas oleh Sir Muhammad Iqbal.

Keywords: Epistemologi, Hukum Islam, Sumber Hukum, Metodologi, Validitas Hukum.
Kredit Melalui Financial Technology (Studi Terhadap Aplikasi Kredit Akulaku)
Authors: Wilda Wilda , Herianto Herianto , Safrina Adhara Elthani
Published: May 2022

Penelitian ini dilatarbelakangi oleh adanya kemajuan teknologi di bidang jasa keuangan berbentuk Financial Technology (fintech) yaitu kredit peminjaman uang yang dilakukan tanpa bertatap muka secara langsung. Pada umumnya kredit dalam bentuk peminjaman uang yang diberikan oleh kreditur kepada debitur dilakukan dengan bertatap muka secara langsung. Terbukti dengan munculnya berbagai aplikasi bukan bank yang tersedia pada jaringan internet sangat menjamur dan berkembang dengan sistem Financial Technology (fintech), yaitu sebuah pekerjaan yang memperkenalkan kecanggihan teknologi di bidang jasa peminjaman uang tanpa memberikan biaya tanggungan oleh peminjam. Aplikasi akulaku merupakan salah satu layanan yang bergerak di bidang Financial Technology (fintech) yang menawarkan kemudahan dalam melakukan kredit. Namun dari banyaknya kemudahan-kemudahan kredit yang ditawarkan akad/perjanjiannya terdapat tambahan yang diberikan, baik tambahan pokok pinjaman dan denda keterlambatan. Maka dari itu penelitian ini dilaksanakan untuk memecahkan persoalan mengenai bentuk akad/perjanjian kredit Financial Technology (fintech) di aplikasi Akulaku dan tinjauan hukum Islam terhadap bentuk akad/perjanjian kredit Financial Technology (fintech) di aplikasi Akulaku.
Keutuhan Pasutri yang Salah Satunya Tunanetra
Authors: Andri Haurul , Iswiyanto Hendra Ani
Published: May 2022

Pernikahan adalah ikatan lahir dan batin antara seorang pria dan wanita sebagai pasangan suami istri (pasutri) dengan tujuan membentuk rumah tangga Bahagia yang sakinah, mawaddah wa rahmah. Manusia adalah makhluk Allah SWT yang telah dikaruniai akal dan pikiran yang pada umumnya manusia terlahir secara sempurna baik dari segi fisik maupun akal dan pikirannya. Namun adakalanya manusia terlahir dengan tidak sempurna atau cacat fisik. Baik terjadi bawaan sejak lahir atau dikarenakan kecelakaan. Dalam penelitian ini penyandang tunanetra yang dianggap tidak sempurna secara fisik memiliki tantangan dalam mempertahankan keutuhan rumah tangganya. Dalam hal ini tentu untuk menjaga keutuhan rumah tangga sangat membutuhkan perjuangan yang besar dan usaha yang keras serta ikhlas. Oleh karena itu permasalahan yang diangkat dalam jurnal ini adalah bagaimana cara mempertahankan keutuhan pasutri yang salah satu pasangannya menderita tunanetra, dan bagaimana sikap Islam terhadap keutuhan pasutri dengan salah satu pasanganya menderita tunanetra. Penelitian ini adalah penelitian lapangan yang bersifat studi kasus yang diuraikan secara deskriktif dengan metode pangambilan data dari wawancara dan observasi. Data diolah dengan teknik editing, klasifikasi, kemudian dianalisa dan disimpulkan. Kesimpulan dari penelitian ini bahwa upaya dalam mempertahankan keutuhan rumah tangga adalah harus saling memiliki kemitraan antara suami dan istri, saling mendukung dan saling memahami antara suami dan istri. Tinjauan hukum Islam terhadap upaya suami istri yang pasangannya menderita tunanetra disebut dalam salah satu dari lima Maqasid al-syari’ah dalam kaitannya dengan pernikahan adalah memelihara agama maka dalam hal ini pasangan tersebut diuji keimanannya melalui pasangannya penyandang tunanetra. Kemudian seberapa kuat kelurga itu dalam meyakini agamanya dan seberapa besar kesabaran dalam menjaga keutuhan rumah tangganya.
Modelos de simulación de dispositivos intrasaculares para el tratamiento de aneurismas intracraneales
Authors: Romina Luciana Muñoz,
Published: May 2022

Los aneurismas intracraneales son dilataciones patológicas de las arterias cerebrales que surgen por el debilitamiento de la pared arterial. La constante interacción de esta pared debilitada con el flujo sanguíneo provoca su abultamiento y posterior crecimiento. El mayor peligro de este progresivo crecimiento del aneurisma es su ruptura, la cual genera una hemorragia con altas tasas de mortalidad y morbilidad. El alto riesgo que implica la rotura de un aneurisma hace, que al ser detectados, sean tratados para evitar la ruptura. El tratamiento endovascular permite ocluir el aneurisma desde el interior de la arteria mediante procedimientos mínimamente invasivos. Coils, stents, desviadores de flujo y dispositivos intrasaculares son dispositivos desarrollados para este tipo de tratamiento. La selección adecuada del dispositivo es una dificultad a la que pueden enfrentarse los intervencionistas. Las técnicas computacionales para simular la implantación de estos dispositivos se desarrollaron para dar respuesta a este problema, ofreciendo herramientas predictivas del resultado de tratamientos específicos. En esta tesis se presenta el desarrollo de un método computacional para la simulación de dispositivos intrasaculares, que a diferencia del resto no ha sido ampliamente estudiada. Orientada a facilitar la selección de tamaño apropiado para cada aneurisma, la técnica permite la simulación de diferentes tamaños de dispositivos para analizar cuál ofrecería el mejor resultado.

Intracranial aneurysms are pathological dilations of the cerebral arteries that arise from weakening the arterial wall. The constant interaction of this weakened wall with blood flow causes its bulging and subsequent growth. The greatest danger of this progressive growth of the aneurysm is its rupture, which generates a haemorrhage with high mortality and morbidity rates. The high risk involved in the aneurysm rupture means that they are treated to avoid rupture when detected. Endovascular treatment allows the aneurysm to be occluded from within the artery using minimally invasive procedures. Coils, stents, flow diverters, and intrasacular devices are devices developed for this treatment type. One difficulty that interventionists often face is the appropriate selection of the device to use. Computational techniques to simulate the implantation of these devices were developed to respond to this problem, offering predictive tools for the outcome of specific treatments. In this thesis, the development of a computational method for the simulation of intrasacular devices, which, unlike the rest, has not been widely studied, is presented. Aimed at facilitating the selection of the appropriate size for each aneurysm, the technique allows the simulation of different device sizes within the aneurysm to analyze which one would offer the best fit of the device to the patient anatomy.
Radyasyon Onkolojisinde Yapay Zeka Kullanımı ve Türkiye’deki Uzmanların Yaklaşımının Araştırılması
Authors: Bayer Selçuk
Published: May 2022

Radiation Oncology is a treatment method that uses high technologies in cancer treatment and produces large amounts of medical images and data. GOAL: To investigate artificial intelligence (AI) based applications used in the Radiation Oncology workflow and to determine the ap-proaches, predictions, and expectations of experts (Radiation Oncologists and Medical Physics Specialists) in this field in Turkey. METHOD: An online questionnaire consisting of 10 questions was sent to a total of 51 people, consisting of Radi-ation Oncologists (27) and Medical Physicists (24) actively working in the field of radiation oncology in Turkey, and the results were analyzed. RESULTS: 11.76% of the experts par-ticipating in the research and working on this subject in Tur-key have no knowledge of AI and this group was excluded from the analysis. 88.98% of the participants agree that AI has beneficial applications in the field of medicine. While 46.67% of the participants do not think that AI applications can be used instead of their current work, 97.78% of the par-ticipants think that they can get support from AI applications in their transactions. The area where AI applications can be most beneficial is “Personalized or Adaptive therapy applica-tions” with 42.22%. The most important advantage of using AI has been identified as “It can produce meaningful results by processing large amounts of clinically meaningful data in real-time” with 55.56%. In case the decisions made by AI and the decisions made by individuals are different, 57.78% of the participants consider seeking a secondary expert opini-on. 52.27% of participants think that the person who applies the process should be considered responsible for the prob-lems that AI will create. The biggest obstacle in the deve-lopment of AI applications in Turkey is “the current human resources are closed to technological developments” by 40% of the participants.
COVID-19 Sürecindeki Yapay Zeka, Dijital Sağlık Tanı ve Tedavisindeki Gelişmeler
Authors: Türker Şener Leyla , Bozkaya Dila Naz , Kıtır Tuğçe
Published: May 2022

With the advancement of Internet of Things (IoTs) technology in the 21st century, the concept of artificial intelligence (AI) has taken a wider place. Intelligent behaviors of livings are produced artificially with AI. Expert systems, fuzzy logic, machine learning, artificial neural networks are used as AI technologies. AI is used in the healthcare field to diagnose and define the process.Along with AI, concepts such as Augmented Reality (AR), Virtual Re-ality (VR), hologram, wearable technology have gained importance. Besi-des the importance of these concepts, there are also major problems related to big data in medicine. In this study, IoTs and the use of technologies such as AR and VR, the advantages and disadvantages of using big data in the to big data in medicine. In this study, IoTs and the use of technologies such as AR and VR, the advantages and disad-vantages of using big data in the field of healthcare, the use of artificial intelligence and artificial intelligence in the di-agnosis of some diseases, and future technological develop-ments and predictions in the field of healthcare are explained. Examples from the pandemic period are given in relation to developments in the field of healthcare. It has been observed that we have adapted to the digital age with AI-based systems for the detection of COVID-19. The results have shown that with the development of AI in the future, the discovery of new drugs will be rapid, the diagnosis and treatment of the diseases that may occur can be detected earlier, patient cont-rols can be performed faster and more often, the burden on health staff will be reduced, and solutions to global problems can be found much faster.
Comparison of Adenosine Deaminase Activity in COPD with Healthy Subjects
Authors: Reecha Joshi Prangyada , Goyal Prachi , Garg Vishal
Published: May 2022

Background: Chronic obstructive pulmonary disease (COPD) is a disease condition characterised by non-reversible airflow restriction. Emphysema, which is the damage and inflammation of the lung alveoli, is a component of COPD. It has been demonstrated that adenosine levels rise in COPD leading to reduction in adenosine deaminase (ADA) activity. Aim: We determined the activity of ADA in COPD patients.
Methods: Sixty subjects were included in this case-control study who had an acute exacerbation of COPD. The activity of the ADA was measured in 20 COPD, 20 non-smokers, and 20 smokers who served as controls.
Results: Total ADA activity was significantly lower in the COPD and smoking control groups (17.87±6.73, 18.09±8.9, and 21.90±6.4 U/L, respectively) than in the non-smoker group.
Conclusion: Reduction in ADA activity may play an important role in the development of lung damage in COPD patients.

Keywords: Adenosine deaminase (ADA); Chronic Obstructive Pulmonary Disease (COPD), Lung.
The Effects of Sub Gingival Application of Ozonated Olive Oil Gelatin Film in Patients with Chronic Periodontitis
Authors: Vijeyakumar Dr. C. P. , Thangakumaran Dr. S. , Sasikumar Dr.
Published: May 2022

This study evaluates the effects of sub gingival application of ozonated olive oil gelatin film as an adjunct to scaling and root planning in patients with chronic periodontitis.
Materials & methods: Thirty patients were randomly selected and equally divided into Group I received SRP only, group II received SRP and ozonated olive oil gelatin film. Subgingival application of ozone gel was performed following initial SRP and after 7 and 14 days. Clinical measurements included Probing pocket depth (PPD), plaque index (PI), gingival index (GI), Oral hygiene index-simplified (OHI-S) and clinical attachment level (CAL) were recorded at baseline and after 21 days.
Results: The results showed improvement in all clinical parameters in (group II) which was maintained up to 21 days (P<0.001).
Conclusion: The study concluded that Ozonated olive oil gelatin film could be a promising adjunct to SRP in the treatment of Chronic periodontitis.

Keywords: Ozone, Chronic periodontitis, SRP.
A Review on Pharmacological Activities of Starch in Curcuma angustifolia Roxb (East Indian Arrowroot)
Authors: R Gopi Krishnan , S Satish
Published: May 2022

Curcuma angustifolia is a fast-growing rhizomatous annual herb that belongs to the family Zingiberaceae. It is one of over 80 species belonging to the genus Curcuma and is commonly known as tikhur or tavaksheeri in India. The plant is well known for its edible properties rather than its medicinal activities. It is generally used as a primary ingredient in cakes, puddings, and biscuits. The processing of the starch is an easy and less complex process, which can be done at home. Rhizomes of Curcuma angustifolia have been found to contain secondary metabolites such as alkaloids, flavonoids, terpenoids, phenols, tannins, saponins, curcumin, steroids, glycosides, and oils. It also contains starch, glucose, sugar, sesquiterpenoids, and curcuminoids. Starch obtained from Curcuma angustifolia is well known for its use in ulcers and other gastrointestinal disorders. Powdered rhizome along with milk is used to treat burning micturition or urination, difficulty in micturition, fever, acidity, gastric reflux disorder, and diarrhoea. Beyond that, the plant is reported to have other activities including, antimicrobial, antioxidant, antiproliferative, antidiabetic, and anticancer activities. The current review aims to make accessible updated information on the therapeutic uses, and pharmacological activities of starch in Curcuma angustifolia.

Keywords: Curcuma angustifolia, Pharmacological activity, Rhizome, Starch, Zingiberaceae.
Analysis of Community Satisfaction Index (IKM) From KSU Gapoktan Rukun Santoso Members to the PLN Care TJSL Program in 2021
Authors: Redaputri Appin Purisky , Marcelina Dona , Efriyanti Farida
Published: May 2022

This research was conducted with the aim of knowing the performance of the PLN Peduli TJSL program organizers in 2021 and to determine the level of theecommunity satisfactioniindex((IKM) towards the implementation of the 2021 PLN Peduli Social and Environmental Responsibility (TJSL) program forrthe beneficiaries of the program. included in the descriptive research model using a quantitative approach and using the community satisfaction index analysis method. This research was carried out in a shop business by Bumi Sari which was managed by members of the multi-business cooperative (KSU) Gapoktan Rukun Santoso, Natar, Lampung Regency during October 2021. This research is classified as field research or field research. The population included in this study were all members of the Multipurpose Cooperative (KSU) Gapoktan Rukun Santoso. The sample collection method here is Non Probability Sampling with a total sample of 36 respondents who are beneficiaries of the PLN Peduli TJSL. The technique for collecting data is using observation, documentation and questionnaires using a questionnaire. The measurement is carried out using 14 indicators of the Community Satisfaction Index (IKM) based on the Decree of the Minister of State Apparatus Empowerment Number: 25/KEP/M.PAN/ 2/2004. The results of this study show that the IKM indicator with the largest indicator value (IKM) is 3.28 after being converted, which is 82.00 and theequality oftthe serviceeis in the service equality category "A" (Very good).

Keywords: Satisfaction, Performance, Service, Community Satisfaction Index (IKM).
Outside and Inside Money Detection towards Post-Covid-19 Steady-State Inflation in 12 Countries
Authors: Novalina Ade , . Rusiadi , Juliani Huda
Published: May 2022

This study aims to analyze the leading indicators of Inflation in The Country With The Largest Money Supply and compare Inflation before and during the Covid-19 pandemic. This study uses secondary data. In time series from 2001 to 2020 and monthly time series data before and during the Covid -19 pandemic, they use the ARDL Panel analysis model and the Differential Test. ARDL Panel analysis shows that the only country capable of being a leading indicator for the stability of the inflation rate is Turkey; this is because all the variables or hands in the study, namely (money supply, interest rates, exports, exchange rates, and GDP) have a significant effect on Inflation. In contrast, the consumption variable has no significant impact on Inflation. The Difference Test analysis shows no significant difference in Inflation and the money supply before and during the Covid-19 pandemic in the country with the largest money supply in the world.

Keywords: money supply; steady-state Inflation.
Effect of Simplified Kundalini Yoga on Breathing Ability among College Students
Authors: Viswanathan Dr. C. , Sivakumar R.
Published: May 2022

Breathing Ability is becoming a common health issue among people all over the world.
The Objective of the study was to find the effect of Simplified Kundalini Yoga on Breathing Ability among college students. There would be a significant difference in Blood Pressure among college students due to the Practices of Simplified Kundalini Yoga and there would also be a Significant difference in Breathing Ability among the experimental group I. experimental group- II than the control group.
Materials and methods: The experimental study adopted true random group design. Seventy Five Students (age ranging 17 to 23) from K.S.G College of Arts and Science, Coimbatore were selected and assigned randomly to three groups of Twenty Five each. The subjects of the experiments group I and group II underwent the Yoga exercise Practice, Simplified Kundalini Yoga training programme for a period of 12 weeks and the Control group did not undergo any practices. The Pre-test and post- test were conducted for three groups. The Breathing Ability was taken by Digital Stopwatch for Per minute in variable reading. The dates were analyzed using the statistical tool. ANOVA The fast of significance was fixed at 0.05 Level Result and conclusion. The analysis showed a significant difference in Breathing Ability among college students due to the simplified Kundalini Yoga and also a significant reduction in Breathing Ability for the experimental group-I, group –II and control group. It was concluded that simplified Kundalini Yoga Practices can alleviate Breathing Ability among College Students and can be used as a complementary therapy.

Keywords: Breathing Ability, Simplified Kundalini Yoga, Yoga.
CBCT Assisted Endodontic Management of Aberrant Canal Morphology in Mandibular Second Premolar - A Clinical Perspective
Authors: Gupta Dr. Sachin , Rai Dr. Shalini , Jaiswal Dr. Shikha
Published: May 2022

Mandibular premolars often present themselves with mystifying morphologies and have rightly earned the title of “Endodontist’s Enigma”. While managing such cases, a triad of three-dimensional viewing, three-dimensional cleaning and three-dimensional filling may serve as a road map for not only proper diagnosis but obtaining a predictable and successful root canal treatment outcome. CBCT as a three-dimensional tool may not only be helpful in visualizing the anatomy but also in predicting the location of multiple canals and depth of pulpal floor and bifurcation. This case report attempts to describe CBCT assisted non-surgical management of mandibular second premolar.

Keywords: CBCT, aberrant canal morphology and mandibular premolar.
Correlation between Ratio Leukocyte / Mean Platelet Volume (MPV) in Acute Coronary Syndrome Patients
Authors: . Zaharuddin
Published: May 2022

Background: Acute Coronary Syndrome (ACS) is a major cardiovascular problem that has a high mortality rate and hospitalization rate. In America alone in 2020, there were more than 1,000,000 coronary heart disease sufferers. According to Riskesdas 2013, the prevalence of coronary heart disease in Indonesia (Central Java) was 0.5% or as many as 120,447 people (Kemenkes, 2013). Around 9-19% ACS causes death in the first 6 months after diagnosis and half of deaths occur within first 30 days.
Aim: To know the relationship between leukocyte ratio/mean platelet volume and GRACE score in acute coronary syndrome.
Method: This research is an analytical observational study using a cross sectional research design with consecutive sampling and using medical data from central installation patients at H.Adam Malik Hospital in the period January 2021 to Juny 2021 that meets the inclusion and exclusion criteria. The sample is calculated using the large proportion estimation formula. Then proceed with the post hoc Mann Whitney test to see which groups have differences. The magnitude of the desired deviation (α) is 0.05, statistically significant if p<0.05.
Results: 75 subjects participated in the study and there was a mean leukocyte/MPV ratio, in CAD 1021.05, STEMI 981.20, and NSTEMI 473.71. Based on the analysis carried out, a significant relationship was obtained with a p value <0.05 (p = 0.001). The mean GRACE score for CAD was 137, STEMI 125, NSTEMI 141.50. Based on the analysis carried out, a significant relationship was obtained with a p value <0.05 (p = 0.001). Conclusion: The Leukocyte/MPV ratio has a strong positive correlation with the GRACE score with an r value of 0.723 and a p value of 0.001.

Keywords: leukocyte/MPV ratio, ACS, GRACE Score.
Current Research Trends Machine Learning in 5G: A Bibliometric Analysis
Authors:   Department of Computer Science, Pacific Academy of Higher Education and Research University, Udaipur, India, Tabrej Khan Md. , Adholiya Ashish
Published: May 2022

Researchers are attracted to emerging field 5G with machine learning. Many review articles have been carried out to analyze in a different direction of 5G with machine learning. However, no researcher presented bibliometric analysis on machine learning in the 5G research field to a detailed analysis of research status and future trend network in this research area. A bibliometric analysis was done in the current study using the bibliometric R tool and VOS viewer software. The relevant literature was collected period 2001 to 2021 from the Web of Science (WoS) Core Collection and Scopus database. The quantitative analysis was done in terms of a yearly published article, most trend research topic, and future direction in ML in 5G technology. Finally, the result indicated that China, the U.S.A., and India are the top countries to publish this field because China, the U.S.A., and the U.K. are the most cited countries. Beijing University of Posts and Telecommunications is the most relevant organization, Wang most appropriate and most influential author in this research area (5G in AI/ML). IEEE Access, IEEE transactions on vehicular technology, and Sensor are the most relevant journal. The main challenges in this field are low latency communication, resource allocation, resource management spectral efficiency, millimeter wave, 5G with the Internet of things (IoT), a device to device communication, power control, and massive MIMO. Deep learning, machine learning, cognitive radio, and reinforcement learning are artificial intelligence techniques used in 5G.
Comparative Study of Surrogate Techniques for CNN Hyperparameter Optimization
Authors:   Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia, Mohd Aszemi Nurshazlyn , Zakaria Nordin , Dominic P. D. D.
Published: May 2022

Optimizing hyper parameters in Convolutional Neural networks is a tedious process for many researchers and practitioners. It requires a high degree of expertise or experience to optimize the hyper parameters, and manual optimization is likely to be biased. To date, methods or approaches to automate hyper parameter optimization include grid search, random search, and Genetic Algorithms (GAs). However, evaluating large number of sample points in the hyperparameter configuration space, as is typically required by these methods, is a computationally expensive process. Hence, the objective of this paper is to explore regression as a surrogate technique in CNN hyperparameter optimization. Performance in terms of accuracy, error rate, training time and coefficient of determination (R2) are evaluated and recorded. Although there is no significant performance difference between the resulting optimized Deep Learning and state-of-the-art on CIFAR-10 datasets, using regression as a surrogate technique for CNN hyperparameter optimization contributes to minimizing the time taken for the optimization process, a benefit which has not been fully explored in the literature to the best of the author's knowledge.
A Decentralized Ciomputationally Lightweight Key Establishment Protocol Over Elliptic Curves
Authors:   Department of computer engineering, Technical and Vocational University, Sary, Mazandaran, Iran, Mohsen Ghoreishi Seyed , Amiri Mohammad
Published: May 2022

The high cost of performing Bilinear Pairings besides the inherent problems of Traditional and Identity-based protocols, which are in turn in the category of public-key cryptographic ones, led to proposing many pairing-free cryptosystems in the context of Certificateless PKC. This category of cryptographic schemes is defined over lightweight elliptic curves rather than high-expense bilinear pairings. In this document, a pairing-free secret sharing scheme has been proposed over Certificateless PKC infrastructure which utilizes elliptic curve-based group operations. The output of this contribution, with a focus on computational complexity, is a novel scheme that is notably less expensive in comparison with the cost of related proposed ones.
Curdlan Sulfate as a Novel Inhibitor for SARS-CoV-2 (COVID – 19): A Molecular Docking Study using Computational Tools
Authors:   Department of Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India, Bazeera Ferdhous P. , Gowtham P. S. , Vanavil B.
Published: May 2022

COVID-19 caused by SARS-CoV-2 affected almost 2.7 million populations over worldwide. Hence there is an immediate need for a potential antiviral agent against COVID-19. Previous studies reported that curdlan sulfate has an extensive array of biological properties and has been recommended for the treatment of diseases like malaria, HIV, dengue, etc. Bioinformatics tools have positively impacted coronavirus research and have been fruitfully employed for unraveling the viral genomics and genome wide association studies, detection of SARS-CoV-2 infection, outlining of the COVID-19 pandemic, evolution of coronavirus, discovery of vaccine candidates, exploration of prospective drug targets, and development of therapeutic stratagems. Thus, the current study focuses on investigating the inhibiting property of curdlan sulfate against COVID-19 using a computational approach. AutoDock Vina was employed for molecular docking of receptor binding domains of SARS-CoV-2. Binding affinity was confirmed based on the lowest binding free energy. Docking results showed that curdlan sulfate possesses a high binding affinity with the receptor binding domain of SARS-CoV-2. The molecular interactions between these drug candidates and receptor binding domain were studied. Subsequent experiments will reveal the stability of the targets and potential drug candidates. Hence this study will help in exploiting curdlan sulfate as an efficient antiviral therapeutic mediator for SARS-CoV-2.
Smart Patient Monitoring System
Authors:   Department of Information Technology, Thiagarajar College of Engineering, Madurai, India, Nisha Angeline C. V. , Laxayadharsini S. S. , Srilakshmi S. S. , Seetha Lakshmi T.
Published: May 2022

Patients in ICU are meant to be monitored often and treated accordingly. In the case of diseases like COVID-19, patient health monitoring becomes an essential part. Instant changes in patient vital signs might produce different results in their body conditions. In current systems, nurses are often required to be with the patients to monitor and track their health condition. Due to this, it becomes hectic for the nurses to monitor all the patients at all times. The current system makes the nurses’ tasks difficult to manage. But this problem is fixed by the proposed system, thereby reducing the activity. The proposed framework consists of IoT nodes (sensors that collect data), a (mobile) smartphone application, and machine learning tools that estimate patient mortality based on vital signs. The IoT node tracks the patient's vital signs such as temperature, oxygen saturation, and heart rate, updates the mobile application, and displays the user's health with a "normal" or "critical" condition. The application reports the patient’s conditions to the nurses immediately with an alarm if the patient reaches a “critical” condition. This automation system takes care of monitoring the patients from anywhere at any time.
A Comprehensive Analysis of Classical and Variable Step Size P&O Algorithms for MPPT Technique used in Solar Photovoltaic System
Authors:   Indian Institute of Technology (Indian School of Mines), Dhanbad, India, Pal Nitai , Aminul Islam Sk
Published: May 2022

There are some downsides to the conventional P&O technique. A significant disadvantage is that it takes more time to reach MPPT, so ample power went lost throughout the day. Multiple ways to describe the P&O algorithms helps to track the MPPT faster than the traditional P&O approach with improved output efficiency by providing accurate duty cycle value into the DC-to-DC converter. Hence, this paper mainly discusses the performance comparison of P&O techniques in two different ways: fixed steps size (FSS) duty cycle and variable steps size (VSS) duty cycle.
A Survey Paper on Fake Review Detection System
Authors:   Pimpri Chinchwad College of Engineering, Nigdi, Pune, India, V. Khairnar Nikita , L. Mankar Shruti , R. Pandav Mrunali , Kotecha Hitesh , Ranjanikar Manjiri
Published: May 2022

Nowadays, E-commerce websites has become a vital part of regular life. The pandemic has taken a quick step towards the digital world and initiated changes in online shopping behaviors. While buying products online many people read the reviews related to the product and then decide on buying it. So, reviews play an important role if a customer wants to buy any product. This leads to increased spam review volume in social networks and e-commerce websites like Flipkart, Amazon, etc. Fake reviews can be used to demote a good product or to promote a bad product, so there is a need for robust and reliable techniques to detect fake reviews which can be beneficial to the customer as well as to the vendor. The objective of this survey paper is to get an overview of different methodologies used to solve such problems. This research presents a systematic review on methods to detect spam review using different Deep Learning (DL) Approaches, Machine Learning (ML) Methods, Natural Language Processing (NLP), and Sentiment Analysis.