bluuebunny/crossref_metadata_2025 huggingface dataset:
Obesity and Inflammation: Colorectal Cancer Engines
Authors: Bou Malhab Lara J. , Abdel-Rahman Wael M.
Published: September 2021

The prevalence of obesity continues to increase to the extent that it became a worldwide
pandemic. An accumulating body of evidence has associated obesity with the development of different
types of cancer, including colorectal cancer, which is a notorious disease with a high mortality
rate. At the molecular level, colorectal cancer is a heterogenous disease characterized by a myriad
of genetic and epigenetic alterations associated with various forms of genomic instability (detailed
in Supplementary Materials). Recently, the microenvironment has emerged as a major factor
in carcinogenesis. Our aim is to define the different molecular alterations leading to the development
of colorectal cancer in obese patients with a focus on the role of the microenvironment in carcinogenesis.
We also highlight all existent molecules in clinical trials that target the activated pathways
in obesity-associated colorectal cancer, whether used as single treatments or in combination.
Obesity predisposes to colorectal cancer via creating a state of chronic inflammation with dysregulated
adipokines, inflammatory mediators, and other factors such as immune cell infiltration. A unifying
theme in obesity-mediated colorectal cancer is the activation of the PI3K/AKT,
mTOR/MAPK, and STAT3 signaling pathways. Different inhibitory molecules towards these pathways
exist, increasing the therapeutic choice of obesity-associated colon cancer. However, obese
patients are more likely to suffer from chemotherapy overdosing. Preventing obesity through maintaining
a healthy and active lifestyle remains to be the best remedy.
Alzheimer’s Disease and other Tauopathies: Exploring Efficacy of Medicinal
Plant-derived Compounds in Alleviating Tau-mediated Neurodegeneration
Authors: Durairajan Siva Sundara Kumar , Selvarasu Karthikeyan , Bera Minu Rani , Rajaram Kaushik , Iyaswamy Ashok , Li Min
Published: September 2021

:

Alzheimer’s disease (AD), a major form of dementia, has been reported to affect more
than 50 million people worldwide. It is characterized by the presence of amyloid-β (Aβ) plaques
and hyperphosphorylated Tau-associated neurofibrillary tangles in the brain. Apart from AD, microtubule
(MT)-associated protein Tau is also involved in other neurodegenerative diseases called
tauopathies, including Pick’s disease, frontotemporal lobar degeneration, progressive supranuclear
palsy, and corticobasal degeneration. The recent unsuccessful phase III clinical trials related to Aβ-
targeted therapeutic drugs have indicated that alternative targets, such as Tau, should be studied to
discover more effective and safer drugs. Recent drug discovery approaches to reduce AD-related
Tau pathologies are primarily based on blocking Tau aggregation, inhibiting Tau phosphorylation,
compensating impaired Tau function with MT-stabilizing agents, and targeting the degradation
pathways in neuronal cells to degrade Tau protein aggregates. Owing to several limitations of the
currently available Tau-directed drugs, further studies are required to generate further effective and
safer Tau-based disease-modifying drugs. Here, we review the studies focused on medicinal plant-
derived compounds capable of modulating the Tau protein, which is significantly elevated and hyperphosphorylated
in AD and other tauopathies. We have mainly considered the studies focused on
Tau protein as a therapeutic target. We have reviewed several pertinent papers retrieved from
PubMed and ScienceDirect using relevant keywords, with a primary focus on the Tau-targeting
compounds from medicinal plants. These compounds include indolines, phenolics, flavonoids, coumarins,
alkaloids, and iridoids, which have been scientifically proven to be Tau-targeting candidates
for the treatment of AD.
Essential Oils: A Novel Approach for Anti-Microbial Therapy
Authors: Wani Ashwini , Mange Hiren , Vasudevan Aishwarya
Published: September 2021

Overexploitation of antibiotics has led to significant challenges with antimicrobial resistance.
The gravity of this trend has resulted in the rapid emergence of multi-resistant pathogens. Increased
frequency to treat infections and the unfeasibility to reverse this resistance have burdened
researchers in developing novel mechanisms to counteract and obstruct antimicrobial resistance.
An effective medical strategy to control resistance was to develop new and potent antibiotics although,
a sobering reality is that the product pipeline towards new antibiotics is inadequate. To ensure
continued effective treatment of bacterial infections, there is an urgent need to control as well
as conserve existing antibiotics through novel approaches. Utilization of Essential Oils (EO) in a
multi-target anti-infective therapy addresses this need by targeting the mechanism of bacterial resistance
and discovering synergism between EO’s antimicrobial properties to anti-infectives. When introduced
into a pharmaceutical formulation, this novel and rational approach will open the door towards
the development of a new generation of antimicrobials. Today, several essential oils have
the ability to act as resistant modifying agents and enhance the antimicrobial activity of anti-infectives.
This review article intends to focus on the effectiveness of essential oils on drug-resistant
pathogens, mechanisms to counteract antimicrobial resistance, approaches to enhance efficacy, and
explore potential applications.
Understanding Communication in an Online Cancer Forum: Content Analysis Study
Authors: Andy Anietie , Andy Uduak
Published: September 2021

Background

Cancer affects individuals, their family members, and friends, and increasingly, some of these individuals are turning to online cancer forums to express their thoughts/feelings and seek support such as asking cancer-related questions. The thoughts/feelings expressed and the support needed from these online forums may differ depending on if (1) an individual has or had cancer or (2) an individual is a family member or friend of an individual who has or had cancer; the language used in posts in these forums may reflect these differences.

Objective

Using natural language processing methods, we aim to determine the differences in the support needs and concerns expressed in posts published on an online cancer forum by (1) users who self-declare to have or had cancer compared with (2) users who self-declare to be family members or friends of individuals with or that had cancer.

Methods

Using latent Dirichlet allocation (LDA), which is a natural language processing algorithm and Linguistic Inquiry and Word Count (LIWC), a psycholinguistic dictionary, we analyzed posts published on an online cancer forum with the aim to delineate the language features associated with users in these different groups.

Results

Users who self-declare to have or had cancer were more likely to post about LDA topics related to hospital visits (Cohen d=0.671) and use words associated with LIWC categories related to health (Cohen d=0.635) and anxiety (Cohen d=0.126). By contrast, users who declared to be family members or friends tend to post about LDA topics related to losing a family member (Cohen d=0.702) and LIWC categories focusing on the past (Cohen d=0.465) and death (Cohen d=0.181) were more associated with these users.

Conclusions

Using LDA and LIWC, we show that there are differences in the support needs and concerns expressed in posts published on an online cancer forum by users with cancer compared with family members or friends of those with cancer. Hence, responders to online cancer forums need to be cognizant of these differences in support needs and concerns and tailor their responses based on these findings.
The Existence of Papaya ringspot virus-Papaya Strain on Cucumber in Gianyar, Bali
Authors: Selangga Dewa Gede Wiryangga , Widnyana I Ketut , Listihani Listihani
Published: September 2021

Yellow mosaic symptoms were identified from cucumber production systems in Gianyar and were similar to symptoms of PRSV infection. Further research was conducted to determine diseases incidence and molecular characteristic of PRSV. Ninety leaf samples were collected from Gianyar by purposive sampling and disease incidence calculations were based on symptoms in the field. Detection and identification were done using a RT-PCR with specific primers of CP PRSV-P, CP PRSV-W and DNA sequencing. Disease incidences in the fields ranged between 5.81–66.87%. Specific DNA band 470 bp was successfully amplified from several cucumber leaf samples collected from Ubud, Payangan, Tegallalang, Sukawati, Gianyar, and Blahbatuh; but no DNA were amplified from all samples when using CP PRSV-W specific primer. Nucleotide and amino acid analysis showed nucleotides homology to isolates from Ubud, Payangan, Tegallalang, Sukawati, Gianyar, and Blahbatuh, i.e. 98.9–99.5% and 99.1–100%, respectively. Results indicated that genetic variation of PRSV-P from Gianyar was low. Furthermore, the nucleotides homology of PRSV-P isolates from Ubud, Payangan, Tegallalang, Sukawati, Gianyar, and Blahbatuh were with PRSV-P isolates which infected cucumbers from Nganjuk (LC311783) and Brebes (LC311784), while from native papaya collected in Bali Bali (LC223115) were 97.2–98.4% and 98.6–100%, respectively. Phylogenetic analysis confirmed that PRSV-P isolates from Indonesia were in the same cluster with Thailand isolates. The results showed that sources of PRSV-P inoculums spreading into new areas.
Analysing the Accuracy of Crop Yield Prediction Using Deep Learning Algorithm
Authors: A Sehkammal
Published: September 2021

Abstract: The Indian farming level decreases step by step inferable from certain components like inordinate usage of pesticides, water level decrement, environment changes, and unpredicted precipitation, and so forth on the farming information, elucidating investigation is performed to comprehend the creation level. The creation of yields isn't expanded inferable from these issues that influences the economy of farming. By utilizing AI strategies, the harvest from given dataset need to foresee by farming areas for forestalling this issue. Yield forecast is of extraordinary importance for yield planning, crop market arranging, crop protection, and gather the executives. Data mining based deep learning is turning out to be progressively significant in crop yield forecast. This strip-mined information will be wont to inform promoting selections, improve sales and abate on prices that has been made in this field by utilizing AI, particularly the Deep Learning (DL) strategy. Profound learning-based models are extensively used to extricate critical yield highlights for forecast. However, these techniques could resolve the yield forecast issue there exist the accompanying insufficiencies: Unable to make a direct non-straight or straight planning between the crude information and harvest yield esteems accuracy; and the exhibition of those models profoundly depends on the nature of the separated elements. Profound deep learning gives guidance and inspiration for the previously mentioned deficiencies. In this paper, I proposed two deep learning models namely ANN and LSTM considering into account the following parameters such as temperature, humidity, pH, rainfall respectively in each model which in turn were compared based on their accuracy level by limiting the blunder and expanding the conjecture accuracy. From my proposed work, I found LSTM is the model that provides us with the better accuracy that that of the ANN. The accuracy of the ANN model is 96.93548387096774 that is approximately 97% and that of the LSTM is 100 % which is obviously the highest. Keywords: Crop yield prediction, Deep learning, Data mining, ANN, LSTM, Accuracy.
Tipping Bucket Rain Gauge Data Processing System: A Review
Authors: Mali Sheetal
Published: September 2021

Abstract: The tipping bucket system consists of funnel which collects the water of the rain in a container which is like a seesaw type module which tips side by side and collects the water. When the level of the water decreases below a preset level, the lever changes its side, causing the collected water to dump in a vessel and electrical signal is sent. By this system the high, medium or heavy rainfall character can be obtained. The rainfall character is calculated by the rainfall in 1 hour and corresponding number of pulses clicking in a period of 10 minutes. Various types of tipping bucket systems are reviewed by using rainfall and snow precipitation, using internet enabling, using rain drop imaging and artificial intelligence and also using wireless sensor network and GSM data transmission. Tipping Bucket is the most useful parameter for measuring the rainfall. In this way the rainfall is measured using the Tipping Bucket Rain Gauge System.
Identification of Microcontroller Based Objects Using Image Classification in Python
Authors: Nandy Zenith
Published: September 2021

Abstract: In this paper, I built an AI model using deep learning, which identifies whether a given image is of an Arduino, a Beaglebone Black or a Jetson Nano. The identification of the object is based on prediction. The model is trained using 300 to 350 datasets of each category and is tested multiple times using different images at different angles, background colour and size. After multiple testing, the model is found to have 95 percent accuracy. Model used is Sequential and uses Convolution Neural Network (CNN) as its architecture. The activation function of each layer is RELU and for the output layer is Softmax. The output is a prediction and hence it is of probability type. This is a type of an application based project. The entire scripting is done using Python 3 programming language. Keywords: image classification, microcontroller boards, python, AI, deep learning, neural network
Cyber Bullying Detection using Machine Learning
Authors: Mehta Jai
Published: September 2021

Abstract: Cyber bullying has been increasing at an unfathomable rate with the rise of the internet and the increasing radius of the social networks. This increasing amount of cyber bullying serves to be a threat to many people who are an active part of these social networks, especially the people using the social media websites for posting information and communication. These crimes have affected many people and have also resulted in suicides. Thus we need an efficient system to detect these bullying attacks and reduce their amount. In the past machine learning models have been constructed to address this problem, but those models have not been very successful. In this paper we will discuss the latest technologies like Naive Bayes, SVM, BERT models, CNN and LSTM that have been applied in this area and compare their results. Keywords: Cyber Bullying, Social Network, Machine Learning, Naive Bayes, SVM, CNN
Response Surface Optimization for Waste Water from Textile Industry
Authors: Kaur Jaspreet
Published: September 2021

Abstract: The findings of the study showed that at optimum conditions of the operating parameters i.e., current density = 14.17 mA/cm2 , t = 102 min, and pH = 6.25, 63.41% of COD removal, 90.93% of dye removal and 0.0035 kWh/kg of energy consumption, were observed. Kinetic studies showed that EC based treatment of STW followed first order kinetics and the kinetic constants at 30°C for each response parameter i.e., % COD removal and % dye removal were 0.0205 min-1 and 0.0097 min-1 , respectively. Similarly, at 50°C the kinetic constants for % COD removal and % dye removal were 0.037 min-1 and 0.011 min-1 , respectively. Further, it was also observed that the amount of Al in the treated STW, sludge and scum was observed to be 25.16 mg/l, 0.50778g and 0.06006 g, respectively. Keywords: Waste water, Response Surface plots and optimization
An Overview of Technology in Education Sector
Authors: Gupta Shubham
Published: September 2021

Abstract: Technology gives moment-to-moment openness to data, which is the reason its quality in the classroom is so fundamental. Advanced cells, PCs, and tablets are now a ubiquitous component of daily existence for understudies and educators the same. It's just normal that the utilization of innovative gadgets in the class are investigated to make significant learning encounters for understudies, everything being equal. Nowadays, it is almost hard to find a classroom that doesn't have no less than one PC in it. Fortunately, research recommends adding innovation to a classroom can positively affect instructing and learning. Using various sorts of innovation in the classroom, including a virtual study hall, makes students who are effectively drawn in with learning targets. The implementation of innovation likewise makes pathways for separate guidance to meet the exceptional necessities of understudies as individual students inside a more extensive classroom environment. In current time, smart classes is a new innovation development that is quick turning into a basic for each institute in the world. It is an in-the-study hall innovation arrangement that has changed instructing and getting the hang of, connecting with a huge number of schools and schools. Keywords: Integration of Technology, Google Doc, Virtual Reality, Education, Online System, Opportunities, Future Scope
Optimization for Reduction in Defects of Brazing of Shock Loop Tube to Resonator
Authors: Sharma Chaman Lal
Published: September 2021

Abstract: Rejection Y variable shows the rejection percentage and optimization phase done with the help of Minitab software. Various design parameters have been selected to identify for the optimization like heating time, the weight of silver brazing wire, and power rating of the equipment extra. Improve phase revealed that the Weight 0.311 Gms, Heating time 11 Sec, Power rating 5 KW is good in the better condition as compared with the current condition. In the end, the conclusion shows that the bulk supplies of 0.3mm silver ring received and started in the production line and the work standard has been established. By doing daily routine activity checks, after one month there is a drop in the rejection and the cost regarding this has also been achieved. Keywords: Reduction in Defects of Brazing, Shock Loop Tube, Resonator, DMAIC approach, Resonator Optimization
Early Detection of COVID-19 Patient’s Survavibility Based On The Image Of Lung X-Ray Image Using Deep Neural Networks
Authors: Bahy Hakim Hilmy , Utaminingrum Fitri , Setia Budi Agung
Published: September 2021

SARS-CoV-2 causes an infection called COVID-19, which is caused by a new coronavirus. One of the symptomps that dangerous to the patients is developing pneumonia in their lungs. To detect pneumonia symptoms, one of the newest methods is using CNN (Convolution Neural Networks). The problem is when able to detect pneumonia, the patient's survivability, which knowing this will be helpful to decide the priority for each patient, is still in question. The CNN used in this research to classify the patient’s future condition, but met some major problems that the dataset is very few and unbalance. The image augmentation was used to multiply the dataset, and class weight was applied to prevent miscalculation on minority class. 6 CNN architectures used to find the best model. The result VGG19 architecture has the best overall accuracy, in training, it has 80% accuracy, 89% accuracy invalidation, and 82% f1 score accuracy on classifying the testing dataset means the best model if looking for accuracy on prediction, but this cost a prediction time that longest compared to other CNN architectures. MobileNet is the fastest, but it cost much worse on prediction accuracy, only 55%. The ResNet50 model has balanced prediction accuracy/time, it got 77% f1 accuracy, and also 8.49 seconds of prediction time, 9 seconds less than VGG19.
Internet of Things for Water Quality Monitoring using Estimate Dissolved Oxygen and Free Ammonia
Authors: Shandikri Rheza , Erfianto Bayu
Published: September 2021

In fish farming or aquaponics, one of the problems that are often encountered is water quality. Several parameters that must be monitored are ammonia, temperature, pH, and dissolved oxygen. There are available measuring devices for oxygen and ammonia levels in the market, but the price of the tool is not suitable for small scales. This study uses the Emerson formula and the Benson-Krause formula to determine ammonia and dissolved oxygen value. In this study, the two values were measured using RMSE, MAE, and MAPE against NH3 and Dissolved Oxygen values from Seneye. The output of this research is the level of water quality using Fuzzy logic and implementing the Internet of things to minimize human intervention with objects
Sumber Landasan dalam Merumuskan kaidah-kaidah Nahwu dan Signifikansinya untuk Pembelajaran Bahasa Arab
Authors: Rizal Muhammad , Abdurrahman Maman , Sopian Asep
Published: September 2021

The nahwu rules that have been studied and known so far do not necessarily exist and have previously been available, but this is the result of the hard work of linguists using a variety of methods in it. This study aims to reveal the bases used by linguists in the formulation and standardization of nahwu rules. The type of method used in this study is a qualitative research method using a library research approach. Based on the analysis of the literature study, the linguists use four main bases in formulating the rules of nahwu, including the samā’ or naql, ijmā', qiyās and istiṣḥāb. Samā ' has three main foundations in the form of definite arguments in building nahwu rules, al-Qurān, the hadīth, and the words of the Arabs, both in the form of verse and prose. Ijmā’ is an agreement of language scholars in compiling nahwu rules. Qiyās is the largest argument used by linguists in making rules and for solving linguistic problems that arise. The last is the istiṣḥāb; although it is the weakest foundation compared to the others, it is still used in determining the nahwu rules. Knowing these all aspects will give many benefits in teaching and learning Arabic.
Produktivitas Mahasiswa di Rumah Selama Masa Pandemi Covid-19 di Tangerang Ditinjau dari Jenis Kelamin
Authors: Alfa Annisa Imarwani , Karjuniwati
Published: September 2021

Productivity is a mental attitude. The mental attitude is always looking for improvements to what already exists. a belief that a person can do a better job today than yesterday and tomorrow is better than today. This study aims to determine differences in student productivity at home during the Covid-19 pandemic in Tangerang in terms of gender. The number of respondents in this study was 30 individuals with the criteria of respondents in this study were male students and active female students who live in Tangerang. sampling using purposive sampling. The data analysis used was the independent sample T-test in the SPSS program. based on the results of data analysis the value of Sig. (2-tailed) of 0.863> 0.05, so as the basis for decision making in the independent sample t-test it can be concluded that there is no difference in the average productivity at home between men and women.
Dampak Pandemi Covid-19 terhadap Proses Pembelajaran di Taman Pendidikan Al-Qur’an (TPQ)
Authors: Nur Hasanah  , Abd Mujahid Hamdan
Published: September 2021

In 2020 the Covid-19 pandemic has become a global problem and has an impact on all aspects of life, including education. The learning process in all educational institutions, both formal and non-formal, was affected by the Covid-19 pandemic. One of the educational institutions affected by this pandemic is the Al-Qur'an Education Park (TPQ). The Covid-19 pandemic made the government try to suppress the spread of Covid-19, with that the government issued a policy to all educational institutions to close, then switched to Distance Learning (PJJ) and Learning From Home (BDR). Many of the educational institutions carry out an online learning process (online), but not all levels of society are able to adapt to the online learning process, especially those in rural areas. So this research aims to obtain information about the impact of the Covid-19 pandemic on the learning process at TPQ. This research uses a qualitative approach with a case study method. In this study, 5 respondents were selected, namely TPQ teachers in Kutelintang Village, Blangkejeren District, Gayo Lues Regency. The results of this study obtained information that the learning process at TPQ took place face-to-face, and generally the learning process at TPQ was less effective because there were too many holidays. So that it has an impact on students, teachers and parents. In addition, TPQ also played an important role in disseminating the Covid-19 pandemic to students.
Upaya Membangkitkan Motivasi Belajar Pendidikan Agama Islam Tingkat Anak-anak pada Masa Covid-19 di Gampong Jeulingke dengan Penerapan Komunikasi Persuasif
Authors: Prilli Prisiska  , Syahril Furqany
Published: September 2021

Early childhood was realized as an asset for the future of the nation, parents and society. The tremendous responsibility that parents must carry out is at the stage of development. In addition, children's happiness is a significant factor in the development of children, both at home and outside the home. Therefore, parents must create a safe, comfortable, harmonious and loving environment in the family to strengthen the emotions between parents and children, especially during the COVID-19 pandemic, which requires children and parents to stay at home. This research is qualitative research with research methods carried out using literature (library), both in the form of books, notes, and reports of previous research results, and this study uses library research methods. The study results indicate that during the COVID-19 pandemic in online learning, students can become less active in conveying their aspirations and thoughts, which can result in boring learning. A student who experiences boredom in learning will get progress in learning outcomes. Therefore, it is necessary to encourage students to move students so that they are enthusiastic about learning to have learning achievements.
Peran Orang Tua Mendampingi Anak Belajar di Rumah Saat Pandemi Covid-19
Authors: Nuratika Silvi , Ridha Usfur
Published: September 2021

The current Covid-19 pandemic situation has caused parents to be involved in every child's learning at home, this is because there are rules for learning from home to prevent the spread of Covid-19. This article aims to discuss the role of parents in accompanying or accompanying children to study at home during the Covid-19 pandemic. The method used is the literature review method through books and journals. The results show that the role of parents accompanying children during the Covid-19 pandemic is to motivate children, facilitate children's learning needs, evaluate children's learning outcomes, become teachers who guide and direct children, and create a conducive environment and a comfortable situation.
Efektivitas Pelaksanaan Kegiatan Keagamaan pada Masa Pandemi Covid-19 Di Gampong Tutong, Labuhanhaji Barat, Aceh Selatan
Authors: Nabila Elsa , Fakhruddin
Published: September 2021

This study aims to describe how effective the implementation of religious activities is in the midst of pandemic COVID-19 in Tutong Village. This research is a descriptive qualitative research. The research subject is the Ustadz or Ustadzah in recitation at the children's recitation place. Ustadz the leader of the weekly Islamic study, as well as several people who take part in the weekly study. The research instrument used interview, observation and documentation techniques. The result showed that religious activities carried out in the midst of pandemic were effective, both in the implementation of routine assesment and children's recitation. There are no obstacles in the implementation of the two activities, and there is also noregulation requiring all participants who participate in recitation to wear masks, but in children recitation place, student are required to maintain personal hygienie. As for the two religious activities, the Ustdaz or Ustadzah always provide education about COVID-19 to children's recitation student and to routine recitation participants every week.
Peran Pemerintah Gampong dalam Meningkatkan Kegiatan Keagamaan di Gampong Doy, Banda Aceh
Authors: Turiza Maysyurah , Maysa Saifullah
Published: September 2021

The gampong government is a group of people the community has trusted because of their abilities and good backgrounds. In this case, the role of the gampong government is closely related to fostering religious activities. Because it is used as a guide for religious activities in the community, we want to know what roles the village government plays in fostering religious activities. The existence of religious activities is fundamental in human life, especially during a pandemic recently. This study uses a qualitative method that aims to find out the kind of activities in the village Ie Masen. This study found that teaching and learning tajwīd and reading Al-Quran activities are fully supported by the gampong Doy Banda Aceh government.
“Shund” as a subject of taxation
Authors: Bacanin Vojislav
Published: September 2021

Debates regarding the possible taxation of ?shund? content and the ?return of
tax on shund? from the period of the former SFRY, are opened every few years
in the national public media space. In order to see the scope of such
debates more clearly, this paper provides an overview of different notions
of ?shund? and kitsch in the humanities, points out the permeation of
cultural and tax policy in the context of modern public policy and provides
a historical and juridical overview and assessment of ?tax on shund? from
the socialist period. The goal is to shed light on the most prominent
theoretical problems via an interdisciplinary analytical apparatus and using
a comparative, historical, inductive and descriptive method and try to
answer the questions of the formulation and possible operationalization of
the ?tax on shund?. In the end, the only thing left is the judgment that the
introduction of the proposed form of taxation would not find its foundation
in the science of taxes, that the cost-effectiveness and fiscal abundance of
such measures would be uncertain, and that, in the absence of a
scientifically based definition of ?shund?, the bodies entrusted with public
authority would face the problems of the so-called indefinite notion and
arbitrariness in evaluation.
Facial Analysis
Authors: Ortiz Alexandra , Robitschek Jon
Published: September 2021

Facial analysis is a critical skill in the pre- as well as post-operative assessment of patients undergoing facial surgery. A successful approach is based on familiarity of normal anatomy, its clinical variance, and developing a systematic approach. In an an effort to develop a comprehensive and methodical approach, we have segregated out nasal elements from facial analysis. Progressive skill refinement requires a combination of foundational anatomy, a critical eye for facial harmony, and routine practice.

This review contains 8 figures and 9 references
Keywords: nasal analysis, facial analysis, Fitzpatrick, dental occlusion, cephalometrics, MRD-1, MRD-2, chin position, nasal tip projection
Presbylarynx, Functional Voice Disorders, Muscle Tension Dysphonia
Authors: Erickson-DiRenzo Elizabeth , Kim Christine M. , Sung C. Kwang Sung
Published: September 2021

Presbylarynx refers to age-related structural changes of the vocal folds that include muscle atrophy, reduced neuromuscular control, loss of superficial lamina propria layer, and reduced pliability. The changes result in thin and bowed vocal folds, increased vocal effort requirements, breathy voice, change in habitual pitch, and strain. The primary treatment options are voice therapy focused on strengthening breath support and the intrinsic muscles of the larynx, and optimization of resonance; injection augmentation of the vocal folds; and type I thyroplasty. Functional dysphonia is defined as change in voice quality in the absence of structural or neurological abnormalities of the larynx. Muscle tension dysphonia (MTD) is a subtype of functional voice disorders and involves laryngeal muscle tension imbalance due to excessive or dysregulated activation resulting often in strained or breathy voice. MTD can be divided into primary (psychological etiology or vocal misuse) and secondary (compensatory for organic laryngeal pathology). The mainstay of treatment for MTD is voice therapy, along with medical or surgical treatment of the underlying vocal pathology in secondary MTD. Mutational falsetto, or puberphonia, is a functional voice disorder where a high-pitched, pre-adolescent voice fails to transition to the lower pitch of adulthood.

This review contains 5 figures, 7 tables, 4 videos and 10 references
Key Words: Presbylarynx, Injection augmentation, Type I thyroplasty, Primary muscle tension dysphonia, Secondary muscle tension dysphonia, Muscle tension patterns, Manual circumlaryngeal therapy, Functional dysphonia, Mutational falsetto
Effects of submucosally administered platelet-rich plasma on the rate of tooth movement:
Authors: Angel Saraa L. , Samrit Vilas D. , Kharbanda Om Prakash , Duggal Ritu , Kumar Vikas , Chauhan Shyam S. , Coshic Poonam
Published: September 2021

Objectives

To evaluate the effects of submucosally administered platelet-rich plasma (PRP) on the rate of maxillary canine retraction. Levels of soluble receptor activator of nuclear factor-κb ligand (sRANKL) and osteoprotegerin (OPG) in the gingival crevicular fluid (GCF) were also measured over 2 months.

Materials and Methods

This split-mouth trial involved 20 sites in 10 subjects randomly assigned to PRP (experimental) side and control side. After alignment, the freshly prepared PRP was injected submucosally distal to the experimental side maxillary canine, and retraction was performed using NiTi closed-coil springs (150 g) on 0.019 × 0.025-inch stainless steel wire. The rate of canine movement was assessed using digital model superimposition at 0, 30, and 60 days. The OPG and sRANKL were assayed using enzyme-linked immunosorbent assay from GCF collected at 0, 1, 7, 21, 30, and 60 days.

Results

Twenty sites were analyzed using paired t test. The rate of tooth movement increased significantly by 35% on the PRP side compared with the control side in the first month (P = .0001) and by 14% at the end of the second month (P = .015). Using the Mann–Whitney U test, OPG levels were found to be significantly decreased on the 7th (P = .003) and 30th day on the PRP side (P = .01), while sRANKL became detectable by the third week postinjection on the PRP side (P = .069).

Conclusions

Submucosal injection of platelet-rich plasma significantly increased tooth movement during the 60-day observation period. Local injection of PRP significantly altered the levels of OPG and sRANKL in GCF.
Fishing Ground Mapping Model in The Semi-Enclosed Saleh Bay, West Nusa Tenggara
Authors: Purwanto Anang Dwi , Wisha Ulung Jantama , Hutomo Erick Karno
Published: September 2021

Saleh Bay is a semi-enclosed area of water in Nusa Tenggara Barat Province that is enriched by fisheries resources. The bay’s strategic position, surrounded by several small islands, makes it an area of fertile water. An area of water is considered a potentially ideal fishing ground if it contains several oceanographic phenomena, including thermal fronts and upwelling. Fishing activities in Saleh Bay have been found to be ineffective and inefficient due to local people’s continued use of traditional methods such as fishing by signs of nature (instincts), wind direction, astrological signs and previous experience. This study aimed to create a mapping model of the fishing grounds in Saleh Bay based on remote sensing satellite data. Spatial analysis of daily level 3 images from the Suomi-National Polar-Orbiting Partnership (SNPP) was conducted throughout January and August 2019. The image acquisition period was adapted based on the seasonal system of Indonesia. The study area was determined based on thermal front events as identified by sea surface temperature (SST) data analysed using statistical regression with a Non-Linear Multi-Channel SST (NLSST) approach. An ideal fishing ground is characterised by several oceanographic settings such as upwelling and thermal front occurrence. The average SST distribution in January 2019 was relatively high, ranging from 30.39 to 33.70 oC, while in August 2019, the temperature declined significantly, ranging from 25.09 to 29.30 oC. Concerning the fishing ground model, a plethora of potential fishing ground areas were identified in August compared to January 2019, at 144 and 42 points respectively. This reflected the density of the fishing grounds observed. The fishing grounds were most likely to be concentrated in the bay mouth during the southwest monsoon and within the bay near the plateau during the northeast monsoon. The seasonal variability of Saleh Bay played a significant role in the spatial extraction of the fishing ground data.
Identification of Andesite Resource Potential In Kalirejo Area, Kokap Sub-District, Kulon Progo Using Resistivity Method
Authors: Prastowo Rizqi , Helmi Hurien , Trianda Obrin , Umam Rofiqul
Published: September 2021

In the last five years, the need for materials to build infrastructure in Kulon Progo Regency has increased with the construction of an international airport. In the construction process, strong earth or rock materials are needed to make buildings resistant to earthquakes, one of which is andesite rock. This study aims to determine andesite rocks' resources using a three-dimensional model based on the value of resistivity in Kalirejo district Kokap Kulon Progo. The research was conducted by geological and geophysical survey. Based on data on the distribution of rocks in the research area included in the intermediate igneous rocks, andesite. These rocks are intrusions that develop in research areas. Petrography analysis is used to determine the types of minerals in andesite rocks and determine which levels of rock changes have changed or not to affect the strength of rocks. These rocks are intrusions that develop in research areas. Geophysical survey is by resistivity method using configuration dipole-dipole with five lines, and each stretch is 200 m. Based on three-dimensional model resistivity, fresh andesite is at a depth of between 5-10 m. Value of andesite resistivity is more than 668 Ωm, while the value of weathered andesite resistivity ranges from 256-536 Ωm and andesite resources about 332,580 tons.
The Parents Role to Prevention of Drug Abuse in Teenager
Authors: Anis Annisa Nisa , Shomedran Shomedran
Published: September 2021

The problem of drug abuse is a major problem in Indonesia, especially in adolescents, overcoming the problem of drug abuse requires the role of parents. This study aims to determine the role of parents in preventing drug abuse for adolescents in the Teladan Village, South Bangka Regency which is studied from 5 indicators of the role of parents, namely the role of parents in educating, supervising, guiding, communicating, and protecting adolescents in drug abuse. This type of research is descriptive research with a qualitative approach. The selection of informants used purposive sampling technique, so that the number of informants in this study was 5 people. The collection technique was obtained from primary data, namely parents in the Teladan Village RW 04 and 05 by interviewing, observing, and documenting. The results of the study indicate that the role of parents in preventing drug abuse is more about religious education, making adolescent social rules, conducting open and closed communication, providing supervision, and protecting adolescents with the use of social media and adolescence. However, in carrying out their roles there are often debates between teenagers, and teenagers are more closed to their parents. This study suggests to always have good communication, provide wise rules and pay attention to the development of adolescents in order to avoid drug abuse.Keywords: Role of Parents, Adolescents, Drug Abuse.
The Role of Family Education in Heritage of Local Language Use: A Case Study of Families Associated with Javanese Transmigrant
Authors: Mardiyah Jeny , Pamungkas Alim Harun
Published: September 2021

This research is motivated by the residents of Nagari Sungai Rumbai who are domiciled by several ethnic tribes such as Minangkabau, Javanese, Sundanese, and Batak residents. This heterogeneous tribe combines the original culture of each ethnic group living in Nagari Sungai Rumbai. This study aims to determine family education for the Javanese community in the habituation of the regional/(Javanese) language in the family, especially describing the role of family education at home, the role of family education in terms of the use of regional/(Javanese) languages, and knowing the supporting factors and inhibiting factors for the use of regional language/(Javanese). This type of research uses qualitative research methods using a case study approach. According to Creswell (2010), qualitative research always has its own characteristics. In another sense, qualitative research is a research approach that is carried out in a natural setting, placing the researcher as a data collection instrument, using inductive analysis and focusing on meaning according to the participant's perspective. Sources of data in this study that became the subject of the study were parents of families associated with Javanese transmigrant families in Nagari Sungai Rumbai, Dharmasraya Regency. While the informants are those who provide information about the research being carried out, namely, children or other family members in Javanese families. Data collection techniques used in this study were observation, interviews, and documentation. As well as the validity of the data obtained from this study was done by triangulation of sources. The results of the study show that (1) the role of family education at home is in the form of compassion (rasa), sharpening (cipta), and fostering (karsa), (2) the role of family education in terms of the use of regional languages, including families who have succeeded in teaching speech, namely passing on good use of the Javanese language to families and teach polite and courteous behavior, (3) the supporting factors are inviting to speak Javanese, marrying fellow Javanese descendants, and inviting children in social activities using the Javanese language. While the inhibiting factors are the influence of the majority language in which the regional language is used, the influence of the environment and association, and the younger generation does not appreciate the local language.
The Relationship Between the Demonstration Method and Active Participation in 3 in 1 Junior Operator Custome Made Women Training
Authors: Sukma Arindha , Jamna Jamaris
Published: September 2021

This research was motivated by the high level of activity of the training participants in participating in the 3 in 1 Junior Operator Custome Made Women's training at the Padang Industrial Training Center, presumably because the instructor used the demonstration method in learning well. This research is quantitative with a correlational approach. The population in this study were all participants of the 3 in 1 Junior Operator Custome Made Women's Training at BDI Padang, totaling 45 people. While the sample was taken using the Simple Random Sampling technique, as many as 88% (40 people) because 12% of the population was used as a test instrument. The data collection technique used a questionnaire distributed via the google form link https://bit.ly/AngketPenelitianArindhaSukma. The data analysis technique used is the percentage formula and the product moment formula. The results of this study indicate that the training participants already have good learning activities, and there is a significant relationship between the demonstration method and the training participants' learning activities.
The Implementation of Talking Stick Method to Increase Muslim Prayer Movement Skills as an Extracurricular Program
Authors: Pratama Yolanda Lusiana , Jamna Jamaris
Published: September 2021

This research is motivated by the use of the monotonous method of implementing the forum annisa extracurricular activities, namely the lecture method so that the skills of the participants are low. One of the skill tests conducted by the forum annisa is prayer movement skills. Therefore, it is necessary to renew the implementation method, namely applying the talking stick method in the process of implementing the forum annisa activities, especially the prayer movement material. This study aim to see the effect of the application of the talking stick method on improving prayer movemen skills in the extracurricular activities of the  forum annisa for seventh grade students. This type of research is quantitative with an experimental approach with the type of Pre experimental design a one group pretest posttest design. The population of this study were all participants of the VII class forum annisa. Sampling was done by using cluster random sampling technique. Data collection techniques using pretest and posttest. Data collection tools in the form of knowledge tests in the form of question and skills tests in the form of performance appraisal sheets. While the data analysis technique uses the t-test sample correlation formula. The result was a significant effect between the application of the talking stick method on improving prayer movement skills with a value of th < -11.5099 < 2.06 on the knowledge test and th < to -12.0175 < 2.06 on the skills test.
Ethical issues in disclosing diagnostic and prognostic information to cancer patients
Authors: Vvedenskaya EV , Lepkova NV , Egorova AV
Published: September 2021

The article talks about the ethical dilemmas of diagnostic and prognostic disclosure in oncology. Below, we discuss the principles of diagnostic and prognostic disclosure to curable and terminally ill patients proposed by Soviet medical deontology. Despite its evolution, the principle of benevolent deception applied to incurable patients in the USSR still persists into the present. The article discusses the cons and pros of withholding the diagnosis from terminally ill patients and the Russian legislation on the patient’s rights. The article places a special focus on the strategy of disclosing an unfavorable diagnosis to a cancer patient adopted in Russian oncology.
Promoting EFL Student Teachers’ Life-Long Learning through Microteaching Lesson Study
Authors: Suryani Fitri Budi , Rukmini Dwi , Bharati Dwi Anggani Linggar , Hartono Rudi
Published: September 2021

The success of lesson study as an approach for teacher professional development in improving students’ learning has inspired the works on microteaching lesson study which is designed for student teachers in microteaching course. Some studies show that microteaching lesson study brought about positive result to student teachers’ pedagogical ability and content knowledge. However, that microteaching lesson study influences student teachers in their teaching internship, that is the course taken after microteaching where student teachers teach real students in real schools, has not been revealed yet. This study aims at exploring the influence of microteaching lesson study on the English as a Foreign Language (EFL) student teachers in teaching internship and to what extent the influence was to promote the EFL student teachers’ life-long learning to teach. It is a qualitative study with semi-structured group interview as the instrument of the research. The subject of the study was ten EFL student teachers who voluntarily participated in the study from twenty two student teachers. They had enrolled in a microteaching class that applied microteaching lesson study in the sixth semester and then took the teaching internship in the seventh semester. The finding of the study indicates that microteaching lesson study has considerably influences most of the EFL student teachers in gaining life-long learning to teach as they already implemented the steps of microteaching lesson study in their teaching internship initiatively. Finally, this study recommends teacher educators to adapt lesson study in microteaching course that can make the EFL student teachers to keep learning to teach.