bluuebunny/crossref_metadata_2025 huggingface dataset:
Chemical composition and antifungal activity of Cymbopogon schoenanthus harvested in Béchar region, Algeria
Authors: Hassani Fatima Zahra , Moussaoui Abdellah , Ghalem Sarra
Published: December 2022

Cymbopogon schoenanthus is a natural plant that often grows in tropical regions such as North and West Africa. In order to valorize this aromatic plant from southern Algeria, we were interested in the chemical characterization of its essential oil by GC(Ir), GC-MS, and 13C NMR, and in the determination of the antifungal activity of its essential oil against toxinogenic strains isolated from spices sold in bulk. The detailed chemical analysis of all the parts of the plant collected from the station of El aguid of Bechar allowed to identify 48 components The composition was dominated by various alkohols bearing thep-menthane skeleton : cis-p-menth-2-en-1-ol (22.3%), trans-p-menth-2-en-1-ol (10.2%), cis-piperitol (10.1%) and trans-piperitol (5.3%). Monoterpenes hydrocarbons were representedby δ-2-carene (16.0%) and limonene (4.7%).β-elemol (4.8%) was the main oxygenated sesquiterpene followed by juniper camphor(2.6%), β-eudesmol (1.9%), selina-6-en-4α-ol(1.9%), intermedeol (1.4%) and α-eudesmol(1.3%). However in the second part of our study the essential oil of C. schoenanthus showed good activity towards Aspergillus fumigatus and AspergIllus flavus with inhibition zone diameters of 29.5mm and 23mm while the activity was lower towards Penicillium sp with a diameter of 11mm. The result of activity towards the toxic strain Penicillium sp has never been reported in the literature. On the other hand, the chemical characterization of the essential oil of the plant is the first one made on the station of el aguid of Bechar.
Investigation of the mycological infection of animal feeds in western Algeria
Authors: Hadjer Saber , MOUSSAOUI Abdallah , CHEBLOUNE Yahia
Published: December 2022

Contamination of livestock feed is a serious problem worldwide during storage. Fungal infection reduces nutritional quality of feed and affects the animal health, thus reducing the livestock profitability. The aim of this study was to investigate the mycoflora of 73 samples representing four raw cereals; (corn, barley, soybean and wheat bran) and three concentrate finished feed of (dairy cow, poultry and pellet). Isolation of internal and external mycoflora was carried out using dilution plate and direct plate methods. The result of the dilution technique revealed that Aspergillus, Penicillium, Fusarium and Alternaria were the most frequently occurring genera. The analyzed samples showed fungal contamination ranging from 18.84 × 103 CFU/g to 55.23 × 103 CFU/g. Comparing the different feed types, finished concentrates had greater fungal contamination compared to the raw ingredients. The most directed external mycoflora in corn, barley and soybean, using the direct plate technique were Aspergillus (100%, 85.66%, 75%) and Penicillium (83.33%, 50%, 50%) respectively. However, Atlernaria (83.33%, 57% and 75%) and Fusarium (66.33%, 71.33% and 50%) were the most predominant internal mycoflora genera. The overall percentage of fungal infection was higher in non-surface disinfected seeds compared to surface disinfected ones. Fungal infection affected quality of grain through reduction in germination. It seems that livestock feed is highly affected by fungi and special storage and conditioning are required to reduce the fungal infection and protect the animal and human health.
Potential microbes from medicinal plants against Colletotrichum gloeosporioides causing anthracnose in greater yam (Dioscorea alata L.)
Authors: P R AMRUTHA , M L JEEVA , G L SREELATHA , K MOHAN AKHIL , TOM CYRIAC  , SU SHILPA
Published: December 2022

Anthracnose, caused by Colletotrichum gloeosporioides is one of the most ruinous diseases affecting greater yam crops globally. Number of biocontrol agents are available now for disease management. This paper outlines the results of series of experiments and assays used for the isolation and screening of endophytes from medicinal plants against C. gloeosporioides and the investigation on the impact of potential endophytes on growth promotion and management of the disease. Present study records Bacillus licheniformis as a biocontrol agent for managing greater yam anthracnose and first report of its kind. Molecular characterization of the pathogen was carried out using universal, genus and species specific primers viz. ITS1 and ITS4; Col F and Col R; CgF1 and CgR1. Among fungal and bacterial endophytes, B. amyloliquefaciens (CTCRI-EB.3) and B. licheniformis (CTCRI-EB.12) were the finest (with an antifungal index of 84.8 ± 4.3 % / 85.7 ± 4.2 % and 82.9 ± 2.05 % / 85 ± 3.8% against the pathogen isolates Cg.S4.7 and Cg.23 respectively). Endophytes were screened for various growth promotion traits, among them B. licheniformis (CTCRI-EB.12) was unrivalled with distinguishable response to plant growth promotion traits. Results of pot trial also manifest that B. licheniformis (CTCRI-EB.12) is a promising plant growth promoting as well as a biocontrol agent.
Comparison Of Changes In The Situational Anxiety Level Due To The Effect Of Emotional Stress Of The Exam Process In 21-Year-Old Students With Different Temperament Types
Authors: Rustamova T. V.
Published: December 2022

One of the main causes of psychophysiological stress in students is exam stress, which often leads to neuropsychological disorders as the final result. The main goal of the present study was to reveal the age characteristics of the changes in the psychophysiological-excitement level caused by the emotional stress due to the examination process in students. Psychophysiological studies of different states of anxiety were conducted 2 months before the exam, 30 minutes before the exam and 30 minutes after the exam with 36 male students of 21 years of age having different typological features of the nervous system at Ganja State University. Practical health and voluntary engagement of the participants in researches were taken as important conditions. The situational anxiety level increased after the exam at all 21-year-old students having different temperament types compared to normal school days and it was 4.6% in choleric students, 26.9% in sanguine students and 35.9% in melancholic students and the overall total indicator was 20.9% . The analysis of the numerical average of the situational anxiety level on normal days with the level after the exam shows that situational anxiety was higher in young people after the exam. Thus, though that the situational anxiety level in 21-year-old students of four temperament types changed dramatically before and after the exam compared to normal school days, the difference between groups and between temperament types was not statistically reliable and correct in some cases.
Four Eccentric Mergers Increase the Evidence that LIGO–Virgo–KAGRA’s Binary Black Holes Form Dynamically
Authors: Romero-Shaw Isobel , Lasky Paul D. , Thrane Eric
Published: December 2022

The growing population of compact binary mergers detected with gravitational waves contains multiple events that are challenging to explain through isolated binary evolution. Such events have higher masses than are expected in isolated binaries, component spin tilt angles that are misaligned, and/or nonnegligible orbital eccentricities. We investigate the orbital eccentricities of 62 binary black hole candidates from the third gravitational-wave transient catalog of the LIGO–Virgo–KAGRA Collaboration with an aligned-spin, moderate-eccentricity waveform model. Within this framework, we find that at least four of these events show significant support for eccentricity e
10 ≥ 0.1 at a gravitational-wave frequency of 10 Hz (>60% credibility, under a log-uniform eccentricity prior that spans the range 10−4 < e
10 < 0.2). Two of these events are new additions to the population: GW191109 and GW200208_22. If the four eccentric candidates are truly eccentric, our results suggest that densely populated star clusters may produce 100% of the observed mergers. However, it remains likely that other formation environments with higher yields of eccentric mergers—for example, active galactic nuclei—also contribute. We estimate that we will be able to confidently distinguish which formation channel dominates the eccentric merger rate after ≳80 detections of events with e
10 ≥ 0.05 at LIGO–Virgo sensitivity, with only ∼5 detectably eccentric events required to distinguish formation channels with third-generation gravitational-wave detectors.
Issues With Proton Pump Inhibitors—Even Safe Drug Treatments Need to Be Closely Monitored
Authors: Alderman Chris
Published: December 2022

The reason we seek to introduce drugs into humans is for therapeutic benefit, but in doing so there is also a cost, both financial and in terms of safety risk. Both downsides warrant our attention, especially in challenging economic times where there are many demands upon personal finances, and where health care dollars are so acutely stretched that it is important to question the way in which we spend money on preventing and managing illness. As important as the imperative is to ensure that when we introduce treatment we create a positive overall benefit on the well-being of the individual, at the same time we must forbear from introducing potential for iatrogenic harm. In effect, the physician/pharmacist/patient (and/or caregiver) team need to consult, to determine that any treatment proposed makes sense from a safety and efficacy point of view, as well as from the dollars and cents perspective.
Many People Take Proton Pump Inhibitor Unnecessarily: Reflecting On Why to Consider Deprescribing
Authors: Thompson Wade
Published: December 2022

It is no secret that proton pump inhibitor (PPI) use is common. Around 10% of the general population in some countries take a PPI. That number can climb up to 25% if we look at older people specifically. For most indications, PPIs are recommended for up to 8 weeks, though some people will need them beyond that period (eg, those with high risk of gastrointestinal bleeding, Barrett's esophagus, severe esophagitis, among other reasons). We know that PPIs are often taken for longer than needed or get started when they were never needed in the first place. Most studies looking at rates of unnecessary PPI use suggest around 50% of PPI users take them without ongoing need. Sometimes people stay on PPIs for years unnecessarily.
Responding to “Assessing the Impact of the Consultant Pharmacist on Pneumococcal Vaccine Administration in a Long-term Care Facility”
Authors: Cross Amanda
Published: December 2022

In this letter to the editor, Dr. Cross responds to an article in the November issue of The Senior Care Pharmacist and discusses the onsite, embedded long-term care facility pharmacist model, which is under development and due to launch nationally in 2023 in Australia.
Geriatric Pharmacotherapy Case Series: Thiazide-Induced Hypokalemia
Authors: Burka Abigail T. , Geiger Daniel W.
Published: December 2022

Introduction The patient was a 72-year-old man with a history of hypertension, hyperlipidemia, benign prostatic hyperplasia, and oropharyngeal cancer. His home medications include amlodipine, atorvastatin, hydrochlorothiazide, and tamsulosin. He lives alone and eats a soft,
bland, nutrient-poor diet. During his annual primary care visit, he is found to have a serum potassium level of 3.3 mEq/L (reference range 3.5-5.0). Assessment The use of hydrochlorothiazide, a thiazide diuretic, as well as his low consumption of dietary potassium, have
likely contributed to his mild, asymptomatic hypokalemia. Outcome The patient’s serum potassium normalizes following replenishment with a 10 mEq microencapsulated potassium chloride (KCl) extended release (ER) tablet three times a day with meals for one week. A registered
dietitian was consulted to provide recommendations for a well-balanced diet, consistent with his dietary texture needs. Conclusions Hypokalemia is a commonly encountered electrolyte disorder, occurring in about 3 to 4% of community-dwelling elders.1 Though asymptomatic
hypokalemia is often an incidental finding, it is associated with an increased risk of major adverse cardiovascular events if left untreated and thus should be promptly corrected when discovered.2
The Role of the Pharmacist in Patient Self-Advocacy for Osteoporosis Screening
Authors: McKeirnan Kimberly C. , Anderson Candace B. , Powell Alexa J. , Gilbert Rubi , Undeberg Megan R.
Published: December 2022

Background Osteoporosis is a common bone disease affecting more than 200 million people worldwide. Commonly prescribed medications have the potential to contribute to bone loss and fracture risk. Providers may be unaware of effects of other commonly used medication classes,
which can lead to inadequate prevention or a lack of screening. Objective To describe a case of drug-induced bone density loss, characterized by long-term use of proton pump inhibitors (PPIs) in a postmenopausal woman; to describe the pharmacist’s role in encouraging
patient self-advocacy. Setting A rural and medically underserved area in eastern Washington State. Practice Description This patient case was part of a grant-funded project to identify and intervene with complex and high-risk patients from local rural
and underserved populations. Practice Innovation A pharmacist met with a 61-year-old female patient to complete a comprehensive medication review and subsequently identified a risk of osteoporosis secondary to long-term PPI and hormone replacement therapy use. Empowered
by the knowledge of risk of development of low bone density, the patient approached her provider twice with a request for bone density measurement. Results Despite initial hesitancy from her physician, the patient advocated for herself with concerns about developing osteoporosis.
Following obtaining a dual energy X-ray absorptiometry scan, the patient received a diagnosis of osteoporosis. Discussion Education from the pharmacist prompted the patient to advocate for osteoporosis screening and ultimately led to a diagnosis. Conclusion
Pharmacists play a critical role in identifying medication-induced conditions in patients with complex medications and multiple chronic disease states.
Proton Pump Inhibitors and Hypomagnesemia in Older Inpatients: An Observational Study
Authors: Anna Vermeulen Windsant-van den Tweel Annemieke M. , Derijks Hieronymus J. , Gadiot Nadine P.P.M. , Keijsers Carolina J.P.W.
Published: December 2022

PurposeProton pump inhibitors (PPIs) are prescribed frequently and can cause potentially severe hypomagnesemia. Researchers assessed the prevalence of hypomagnesemia and the association between PPI use and hypomagnesemia in hospitalized older patients.MethodsResearchers conducted a single-center, observational, retrospective cohort study with patients admitted to a geriatric ward at the Jeroen Bosch Hospital in the period between June 24, 2016, and August 30, 2020. Patients were included if they were 65 years of age or older, had a serum magnesium measurement, and a complete overview of patient’s current medication was present at the day of admission. The primary outcome was the occurrence of hypomagnesemia at hospital admission. Exposure to PPIs was the primary determinant investigated. Covariates were studied to identify risk factors and to adjust for potential confounding. The strength of the association between PPI and hypomagnesemia was evaluated with unconditional logistic regression, expressed as odds ratios (ORs) with 95% confidence intervals (CIs).ResultsThe prevalence of hypomagnesemia was 21.9% in PPI users and 15.8% in non-PPI users. Overall, the use of PPIs was associated with hypomagnesemia (ORadj = 1.38, 95% CI 1.09-1.76). A trend for this association was most pronounced in male patients (ORadj = 1.88, 95% CI 1.27-2.79), smokers (ORadj = 3.95, 95% CI 1.52-10.28), and in patients using > 7 units alcohol a week (ORadj = 4.44, 95% CI 1.40-14.12).ConclusionOlder patients who are taking a PPI have a higher risk of developing hypomagnesemia than nonusers; additional factors can contribute to the risk. Physicians should be aware of PPI-induced hypomagnesemia and routinely monitor serum magnesium levels in older patients.
Pharmacist Identification of Older Patients’ Priorities in a Home-Based Primary Care Program
Authors: Krishnamurthy Aparna , Naik Aanand D. , Kiefer Lea , Tak Casey , Ogedengbe Opeyemi , Jamieson Kelly , Goswami Rachna , Woodall Tasha
Published: December 2022

Background Patient Priorities Care (PPC) aims to identify and integrate patient goals and preferences into health care decision-making to provide more personalized care for multimorbid older individuals. Home-based primary care (HBPC) is a model of care delivery that supports
aging in place. HBPC-integrated pharmacists can identify patient priorities and communicate with the team to ensure care is aligned with what matters most. Objectives Evaluate patients’ perceptions of having priorities identification conversations with the pharmacist;
identify the value domains represented by patients’ health outcome goals. Setting HBPC program at a large family medicine practice where pharmacists are core members of the interdisciplinary team. Intervention Pharmacists led priorities identification
conversations for patients newly enrolled in HBPC. Care preferences and health outcome goals were documented in the medical record and communicated during HBPC team meetings. Design This was a prospective, observational study of HBPC enrollees. After the priorities identification
conversation, a three-question survey was administered to identify patients’ perceptions of the conversation and interaction with the pharmacist. Health outcome goals and care preference statements were reviewed to determine with which value domain(s) they most aligned. Descriptive statistics
were used for results analysis. Results Pharmacists led conversations with 30 participants. Average overall satisfaction with the conversation was 4.6 on a 5-point Likert scale (1 = least, 5 = most satisfied). Ninety-three percent of patients felt it was appropriate to
have a pharmacist lead these conversations. Ninety-seven percent believed it was important/very important to discuss their values and goals with their health care team. The predominant value domains represented were Managing Health (43%) and Functioning (40%). Conclusion Patients
were mostly satisfied with having PPC conversations and felt it was appropriate for a pharmacist to lead these conversations. Managing health conditions and preserving function were the most frequent value domains associated with patients’ goals and care preferences.
Evaluating Antibiotic Use in a Veterans Affairs Skilled Nursing Facility
Authors: Tomlin Brittany , Philipp Leah , Potter Brianne , Tate Victoria
Published: December 2022

Objective To examine antibiotic use in long-term care residents at a VA skilled nursing facility. Design Quality improvement project. Setting Long-term care residents admitted to the Community Living Center of a Midwestern VA medical
center. Patients Inclusion criteria were long-term care residents admitted to the VA skilled nursing facility who were prescribed an oral (including via percutaneous endoscopic gastrostomy tube) antibiotic from January 1, 2018, to December 31, 2018. Residents were excluded
if they were admitted for hospice care, rehabilitation, or short-term skilled nursing. Residents were also excluded if they were on intravenous or topical antibiotics. Results Fifty-six unique antibiotic courses consisting of 13 different antibiotics were evaluated. Median
days of therapy per 1,000 resident days was 39.7 overall, for quarter 1 was 51, quarter 2 was 42, quarter 3 was 49.3, and quarter 4 was 17.5. Average antibiotic days of therapy was 7.6 days. Fluoroquinolones comprised 26.8% of the courses, followed by beta-lactamase inhibitors at 25%. Of the
56 courses, 85.7% were found to have appropriate dose/frequency, while 73.2% had appropriate duration. No reports of Clostridioides difficile infection were noted. Thirty-one antibiotic courses had cultures obtained, of which 29 did not deescalate therapy. Of these, 5 (17.2%) were indicated
for de-escalation. Conclusion Antibiotic use in this skilled nursing facility have opportunities for intervention, including reducing fluoroquinolone use, optimizing de-escalation, and shortening days of therapy. The implementation of an antimicrobial stewardship monitoring
program within the long-term care setting could assist in maximizing therapy while reducing antibiotic exposure.
Численные методы для некоторых классов вариационных неравенств
с относительно сильно монотонными операторами
Authors: Stonyakin Fedor Sergeevich , Titov Aleksandr Aleksandrovich , Makarenko D V , Alkousa Mohammad Soud
Published: December 2022

Статья посвящена существенному расширению недавно предложенного класса
относительно сильно выпуклых оптимизационных задач в пространствах больших
размерностей. В работе вводится аналог понятия относительной сильной
выпуклости для вариационных неравенств (относительная сильная монотонность)
и исследуются оценки скорости сходимости некоторых численных методов первого
порядка для задач такого типа. В статье рассматриваются два класса вариационных
неравенств в зависимости от условий, связанных с гладкостью оператора. Первый
из этих классов задач включает в себя относительно ограниченные операторы,
а второй - операторы с аналогом условия Липшица (так называемая относительная
гладкость). Для вариационных неравенств с относительно ограниченными и относительно
сильно монотонными операторами была исследована вариация субградиентного метода
и обоснована оптимальная оценка скорости сходимости. Для задач с относительно
гладкими и относительно сильно монотонными операторами доказана линейная скорость
сходимости алгоритма со специальной организацией процедуры рестартов (перезапусков)
проксимального зеркального метода для вариационных неравенств с монотонными операторами.
Библиография: 14 названий.
Классы эквивалентности фреймов Парсеваля
Authors: Novikov Sergey Yakovlevich , Sevost'yanova Victoria Vladimirovna
Published: December 2022

В данной заметке вводится максимально широкая эквивалентность
на множестве фреймов конечномерного пространства, которая сохраняет
основные характеристики фрейма: жесткость, равноугольность, спарк
(наименьшее количество линейно зависимых векторов), так называемую
проективно-перестановочно унитарная эквивалентность.
Выясняется, например, что в пространствах $\mathbb{R}^3$,
$\mathbb{R}^5$ и $\mathbb{R}^7$ жесткие равноугольные фреймы
с полным спарком единственные с точностью до эквивалентности.
Аналогичная единственность получена для общего равномерного фрейма
Парсеваля с $d+1$ векторами в пространстве $\mathbb{R}^d$.
Такие вопросы неоднократно поднимались в литературе.
Вычисление спарка является гораздо более сложной задачей
с вычислительной точки зрения, чем вычисление ранга матрицы.
В данной заметке изложена методика, которая, возможно,
облегчит вычисление спарка. Весьма полезным
в эквивалентной классификации фреймов оказалось
использование матриц Зейделя и техники дополнений по Наймарку.
Библиография: 10 названий.
Плотность точек непрерывности метрической функции и
проекции в несимметричных пространствах
Authors: Tsar'kov Igor' Germanovich
Published: December 2022

Изучаются вопросы плотности множеств точек непрерывности
метрической функции и метрической проекции на множества
в несимметричных пространствах.
Библиография: 19 названий.
Краевые задачи для квазигиперболических уравнений с вырождением
Authors: Kozhanov Alexander Ivanovich , Spiridonova Naryia Ruslanovna
Published: December 2022

Работа посвящена исследованию разрешимости краевых задач для вырождающихся
квазигиперболических уравнений высокого порядка. Особенностью изучаемых
задач является то, что в них многообразия, на которых уравнения
характеристически вырождаются, не освобождаются от несения граничных данных.
Целью работы является доказательство существования и единственности регулярных
решений изучаемых задач - именно, решений, имеющих все обобщенные по
С. Л. Соболеву производные, входящие в соответствующие уравнения.
Библиография: 20 названий.
Классические решения одного многомерного гиперболического
дифференциально-разностного уравнения с разнонаправленными сдвигами
в потенциалах
Authors: Zaitseva Natalya Vladimirovna
Published: December 2022

В работе исследуется вопрос существования гладких решений
многомерного гиперболического уравнения,
содержащего сумму дифференциальных операторов и операторов сдвига
по любым пространственным координатным направлениям.
Для этого уравнения построено
трехпараметрическое семейство решений. Доказано,
что полученные решения являются классическими
при условии положительности вещественной части
символа дифференциально-разностного оператора в уравнении.
Приведены классы уравнений, для которых это условие выполнено.
Библиография: 17 названий.
Связь между экстремальностями многообразия и аффинного образа
топологического произведения нескольких его экземпляров
Authors: Bayramoglu M , Jabbarov (Dzhabbarov) Ilgar Shikar oglu , Ismailova Leman Galib gizi
Published: December 2022

В настоящей статье изучается вопрос о связи между экстремальностями
многообразия и некоторого аффинного образа нескольких его экземпляров.
Библиография: 11 названий.
К вопросам Шеметкова, Баллестера-Болиншеcа и
Переc-Рамос теории конечных групп
Authors: Murashka Viachaslau Igaravich
Published: December 2022

Главный фактор $H/K$ группы $G$ называется
$\mathfrak{F}$-центральным, если
$(H/K)\rtimes (G/C_G(H/K))\in\mathfrak{F}$.
В 1997 году Л. А. Шеметков поставил задачу описать
формации конечных групп $\mathfrak{F}$,
совпадающие с классом групп, у которых все главные факторы
$ \mathfrak{F}$-центральны. Такие формации мы будем называть
центрально насыщенными. Доказано,
что центрально насыщенные формации образуют
полную дистрибутивную решетку. В качестве ответа на вопрос
А. Баллестера-Болиншеса и М. Д. Переc-Рамос,
найдены условия насыщенности и разрешимой насыщенности
центрально насыщенной формации в классе всех групп. Как следствие,
получен критерий разрешимой насыщенности
наследственных формаций Фиттинга.
Библиография: 22 названия.
Цена симметрии в связных графах
Authors: Terekhov Mikhail Sergeevich
Published: December 2022

В настоящей работе дается ответ на вопрос, поставленный в совместной работе А. А. Клячко
и Н. М. Луневой, об оптимальности оценки на цену симметрии в графах. Оригинальная
оценка гласит, что, если в связном графе $G$ можно удалить $n$ вершин так, чтобы
в нем не осталось связного подграфа изоморфного $\Gamma$, то можно удалить не
более $n|V(\Gamma)|$ вершин, образующих инвариантное относительно всех автоморфизмов
графа $G$ множество так, чтобы в графе не осталось подграфа изоморфного $\Gamma$.
Мы докажем, что существует граф $\Gamma$, для которого эта оценка не является
оптимальной.
Библиография: 5 названий.
Энтропия унитарного оператора в $\mathbb C^J$
Authors: Treschev Dmitry Valerevich , Chernyshev Andrey Olegovich
Published: December 2022

В работе рассматривается задача об определении, вычислении и изучении
свойств энтропии унитарного оператора в гильбертовом пространстве
конечной размерности.
Библиография: 12 названий.
Etudes de géographie linguistique dans l’arrondissement de Bellac (Haute-Vienne). Phonétique historique et phonologie
Authors:   , Lagueunière France
Published: December 2022

Thèse pour le doctorat de 3e cycle préparée sous la direction de Monsieur le professeur Jean Mazaleyrat, Université de Paris-Sorbonne Paris IV.
PENGARUH CAPITAL ADEQUACY RATIO (CAR), LOAN TO DEPOSIT RATIO (LDR) DAN NON PERFORMING LOAN (NPL) TERHADAP RETURN ON ASSET (ROA) PADA SEKTOR PERBANKAN DI BURSA EFEK INDONESIA
Authors: Abdurrohman Abdurrohman , Fitrianingsih Dwi , Salam Anis Fuad , Putri Yolanda
Published: December 2022

This research was conducted to determine the effect of Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR) and Non Performing Loans (NPL) on Return On Assets (ROA) both partially and simultaneously in the Banking Sector on the Indonesia Stock Exchange 2014-2018. . The research method is to use the causal associative method, with a quantitative approach. Data collection techniques using secondary data. The sampling technique used purposive sampling technique, the sample was 16 companies which are the annual reports of the banking sector on the Indonesia Stock Exchange (BEI).The results of the study using the t test and f test show that partially the Capital Adequacy Ratio (CAR) has a significant negative effect on Return on Assets (ROA), Loan to Deposit Ratio (LDR) has no significant effect on Return On Assets (ROA), Non-Performing Loan (NPL) has no significant effect on Return On Asset (ROA) and simultaneously Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR) and Non Performing Loan (NPL) have a significant positive effect on Return On Assets (ROA).
Flexible Learning Experience Analyzer (FLExA): Sentiment Analysis of College Students through Machine Learning Algorithms with Comparative Analysis using WEKA
Authors:   Graduate Studies, Northern Negros State College of Science and Technology, Sagay, Negros Occidental, Philippines, Pahuriray Archolito V. , Basanta Joe D. , Arroyo Jan Carlo T. , Delima Allemar Jhone P.
Published: December 2022

The spread of the COVID-19 pandemic broughtsignificant changes in society. Emerging technologies like artificial intelligence and machine learning devices improved several industries, especially in academe and higher education institutions. In this study, a model to analyze and predict college students' sentiments from the Flexible Learning Experience portal was built using several supervised machine-learning techniques. Waikato Environment for Knowledge Analysis (WEKA) application was used to apply the Naive Bayes (NB), C4.5, Random Forest (RF), Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) algorithms. Additionally, a comparative analysis of different machine-learning methods was applied. The experimental results revealed that the C4.5 algorithmobtained the highest accuracy than other algorithms. The effectiveness of each algorithm was evaluated and compared using 10-fold crossvalidation (CV), taking into account the major accuracy metrics, instances that were accurately or inaccurately classified, kappa statistics, mean absolute error, and modeling time. Moreover, results show that the C4.5 algorithm outperformed other algorithms by classifying the model with 98.13% accuracy, 0.0132 mean absolute error, and 0.00 seconds of training time. Furthermore, teachers and college administrations were well accustomed to the sentiments and problems of college students and might act as a decisionsupport mechanism mainly as they deal with the new setting during this time of crisis.
Aerodynamics of a Modified High-Lift Low Reynolds Number Airfoil: Preliminary Analysis
Authors:   Flight Technology & Test Research Group (FTTC), School of Mechanical Engineering, College of Engineering, UniversitiTeknologi MARA, 40450 Shah Alam, Selangor, Malaysia, Hamid Ahmad Hussein Abdul , Mohamad Firdaus , Noh Mohd Hafiz Mohd , Nasir Rizal Effendy Mohd , Sapardi Mohd Azan Mohammed
Published: December 2022

Airfoil selection is a crucial phase in the design of a small unmanned fixed-wing aircraft to allow a minimum size and weight of the lifting surfaces. The present study analyzesairfoils to be used in low operating Reynolds number unmanned aerial vehicles (UAV) using XFLR5 software, which was validated against wind tunnel data. Three baseline airfoils were investigated, namely NACA4412, Miley M06-13- 128 and Selig S1223. The best performing airfoils are then modified using the inverse airfoil design method to improve their performance in cruising flight. The modified airfoil resulted in larger leading edge radius and slightly thicker chord of the airfoil compared to the baseline airfoil. In general, the modified airfoil showed an improvement in stall characteristic, lift and drag coefficients in the post-stall regime, and a lower magnitude of moment coefficient for almost all investigated angles of attack compared to the baseline airfoil.
Designing Flex Sensor Gloves with Temperature Sensor & Pulse Sensor to Help Stroke Patients
Authors:   Department of Electrical Engineering, Faculty of Engineering, Universitas Riau, Kampus Bina Widya, Jl. H. R. Soebrantas Km. 12,5 Simpang Baru, Panam, Pekanbaru 28293 Riau Indonesia, Zakri Azriyenni Azhari , Arfianti Arfianti , Hamzah Amir , Iqbal M , Madjid Hamdy , Fikri Aulia Naufal
Published: December 2022

Stroke patients often have trouble in daily interactions, when the patient communicated with people who are guarding them. If the distance between the patient and their guard is far, this will make it difficult for the stroke patient to communicate. Therefore, this research designed a prototype glove with a flex sensor installed as a communication tool to aid stroke patients. The designed glove is paired with five flexible sensors to enable nurses easily to read the five-finger movement signals. This tool is also equipped with DS18B20 temperature and pulse sensors capable of monitoring the physical condition of stroke patients in real-time. Testing the flex sensor glove prototype was carried out by measuring temperature & heart rate through pulse and temperature sensors. The output data is in the form of text and sound displayed on the LCD and heard through the speaker through the DFPlayer mini module. The body temperature was measured using the DS18B20 temperature sensor and compared with an Avico digital thermometer which has an average error of 0.1%, indicating adequacy. The heart rate test results through the pulse sensor were compared with measurements obtained using measure heart rate correctly. Instant heart rate, which has an average error of 0.7%, hence, it can
Development of Preventing Myofascial Pain Syndrome Automation with Ultrasonic-based and Machine Learning
Authors:   Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand, Nuanmeesri Sumitra , Poomhiran Lap
Published: December 2022

Physical readiness is one factor that promotes student learning achievement. However, sitting for long periods can lead to myofascial pain syndrome, affecting undergraduate students’ learning outcomes who took lecturebased and computer-based sessions online for long periods. This study aims to develop a set of economic reminders using the Internet of Things and prediction modeling by the Machine Learning technique. The developed preventing myofascial pain syndrome automation system reminds the student to change sitting postures or get up and prevent myofascial pain syndrome. This system applies consecutively to students for two academic semesters. Further, this system applied the prediction models by four Machine Learning techniques. The evaluation results of model efficiency revealed that the model developed with Multi-Layer Perceptron Neural Network has the highest accuracy of 93.98%. The model with the second highest accuracy performance was the Support Vector Machine, k-Nearest Neighbor, and Decision Tree techniques were modeled with accuracy values of 91.77%, 91.31%, and 90.56%, respectively. Furthermore, the results showed that the preventing myofascial pain syndrome automation system promoted higher student learning outcomes than the group without the preventing myofascial pain syndrome automation system at a significance level of 0.05. The developed system with the prediction model also effectively prevents and reduces the number of students from myofascial pains. Thus, the developed system has shown that educational management focusing on the learners’ health will enhance learning effectiveness.
Circularly Polarized Metamaterial Patch Antenna Circuitry for Modern Applications
Authors:   Department of Information and Communication Engineering, College of Information Engineering, Al-Nahrain University 2 International Applied and Theoretical Research Center (IATRC), Baghdad Quarter, Iraq, Haleem Marwah , Elwi Taha A.
Published: December 2022

In this article, the proposed antenna structure is designed for modern wireless communication systems. The antenna structure is consistent of twelve-unit metamaterial (MTM) unit cells. Therefore, the antenna size is miniaturized effectively to 30×40mm2 which is equivalently about 0.2λo, where λo is the free space wavelength at 2.7GHz. This is achieved by conducting the use of Hilbert shape MTM structure with T-resonator induction structure. The antenna structure is printed on a single side substrate to cover the frequency bands from 2.7GHz to 3.7GHz and 5.4GHz to 5.6GHz. Such antenna is found to provide a maximum gain of 2.2dBi at first and the second band of interest. Next, proposed antenna is found to be circularly polarized at 3.3GHz and 5.6GHz. The proposed antenna performance is simulated numerically using CST MWS software package with all design methodology that is chosen to arrive to the optimal performance. Then, the optimal antenna design is tested numerically using HFSS software package for validation. Finally, an excellent agreement is achieved between the two conducted software result
Cutting Forces and Temperature Optimization in Turning using a Predictive Machining Theory, ANN, and MOGA
Authors:   ational School of Applied Sciences, University Ibn Zohr-Agadir, Morocco, Outemsaa Omar , Farissi Omar El , Hamouti Lahcen , Modar Mohammed
Published: December 2022

To minimise stresses on the tool and workpiece, such as wear, thermal effect, workpiece stresses, cutting power, etc., the cutting force and the heat in the cutting area should be minimised. This work aims to introduce an artificial intelligence tool, more precisely the neural network, to achieve optimized cutting conditions. Oxley cutting modelling in conjunction with Johnson-Cook of an AISI 1045 material is converted to an artificial neural network model which will be used to determine a fitness function to be optimized. The Artificial Neural Network is constructed based on the training data collected from the predictive model of Oxley and JC, the choice of the most accurate ANN of minimal MSE= 0.001108 is based on a specific method of tuning the hyperparameters which result in an architecture; two hidden layers, 25 neurons for each hidden layer, a sigmoid activation function, a trainlm learning algorithm, and a learning rate of 0.01. A multi-objective optimization is performed using the MATLAB tool to obtain the optimum values for cutting velocity Vc, advance f, penetration depth ap, and cutting angle of the tool. It is found that the neural network is a more rapid calculation of cutting conditions such as shear zone forces, shear zone temperatures, and others. contrary to the Oxley and JC mathematical model which will require a lot of calculations. The optimum values for cutting conditions are 208 mm/min for cutting speed, 0.06mm/rev for f, 0.38 for ap, and 10° for clearance angle.
Improving Internet Network Performance through Bandwidth Management
Authors:   Electrical Engineering, Universitas Udayana, Bali, Indonesia, Gunantara N , Widyantara I M O , Ardana I P , Saputra K O , Bernadus I N
Published: December 2022

The bandwidth available on the network must be managed. In this paper, hierarchical tocken bucket (HTB) and class based queuing (CBQ) methods are used to manage bandwidth. As well as measuring customer satisfaction in the form of a customer satisfaction index (CSI). Quality of service (QoS) performance that is reviewed is throughput, delay, packet loss, and jitter. Based on the results of measurement analysis for the four QoS performance, internet network performance using HTB method shows better performance than CBQ performance. And the level of customer satisfaction with internet services using the HTB method is higher than the CBQ method
Low-Cost IoT Based Wearable Respiratory Sensor for Covid-19 Patients
Authors:   Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia, Ejin Abraham Ninian , Xing Wong Guang , Yew Hoe Tung , Mamat Mazlina
Published: December 2022

The three main Covid-19 symptoms are shortness of breath, coughing and fever. Currently, most of the patients who tested positive for COVID-19 are selfquarantined at home. Unfortunately, some home quarantine Covid-19 patients are brought in death to hospital. Therefore, e-health remote patient monitoring systems are needed. Although many e-health monitoring systems are proposed by the researcher, not many dedicated systems are suitable for COVID-19 specifically. Mostly do not have a respiratory rate monitoring function. Furthermore, many e-health devices in the market only feature local data storage and do not include Internet of Things (IoT) integration. In this work, we proposed a low-cost IoT based respiratory sensor for home quarantine Covid-19 patients to monitor the respiratory rate. The measured respiratory rate will be transmitted to Google Clould via WiFi connection and the user can read it through their computer or smartphone. Alert message will be generated if the respiratory rate reaches an unsafe threshold. The proposed device was tested with five samples and gave a 100% accuracy on respiratory rate measurement. The proposed prototype cost is much lower than the other respiratory monitoring devices in the market. The proposed device could reduce the mortality of home quarantine Covid19 patients
Cultivation of Flowerhorn Species in Search of Superior Quality Seeds using IoT and Open CV
Authors:   School of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia, Ngarianto Heri , Purwanto Eko Setyo , Andrean Haikal
Published: December 2022

The Flowerhorn is a type of ornamental fish that many fish hobbyists are attracted to because of the uniqueness of its head and the beauty of the color of the scales. And has a high selling value. The treatment requires equipment: An aquarium, oxygen aerator pump, water filter, water pH meter, UV lamp, and fish feed. In keeping Flowerhorn fish in the aquarium, you must pay attention to the acidity of the water (pH) and the feeding schedule according to the needs of the Flowerhorn fish age.Flowerhorn fish is one of the most popular ornamental fish. However, it is a little difficult to find superior seeds. To get superior quality Flowerhorn fish, IoT technology is needed to monitor the development of Flowerhorn fish using a Deep Learning approach, namely the Convex Hull Algorithms from OpenCV. OpenCV is a method that can detect objects using a camera, and the results of the image storage will be saved to a computer database that can process objects that have been tracked. Using this IoT and OpenCV system, you can feed fish, adjust water pH automatically, and identify all Flowerhorn fish in the aquarium using a camera. And can distinguish the color pattern and size of the forehead of the ideal Flowerhorn fish. So, Flowerhorn fish develop optimally and have a high selling value.
An FPGA Library Based Design of Variable CNN Weight Compression using Resizable K-Means Clustering
Authors:   La Salle University, Manila Philippines, Yap Roderick , Rosario Emmanuel Del , Munchua Raymund Miguel Francisco
Published: December 2022

Convolutional Neural Networks (CNN) is a popular tool used for image recognition. In CNN architecture, a set of weights undergo a series of updating while the training process for image recognition is ongoing. These weight values can be quite a lot in memory consumption. One way to reduce memory consumption is to use a form of weight compression through weight sharing. To do this, one can quantize the weights using K-Means clustering. To use the K means Clustering algorithm, one can manually try different values of K and then choose the best value that can save the CNN memory usage and at the same time will not deteriorate the recognition ability of the CNN. The method of trying different values of K to search for the best compression rate, can be time consuming for the user. In this paper, using XILINX Virtex FPGA library, a proposed hardware model design for a CNN integrated to a resizable Kmeans Clustering Model is presented. The hardware model design highlights the elimination of the manual search for best value of K. A synthesizable hardware model for the control and data path of the integration is proposed. A Hardware Model algorithm for an automated search for the best value of K in steps of 10, is presented. The proposed integration will allow the system to work by itself, to auto search for the best compression ratio after the CNN has finished training.
Finding the Best Performance of Bayesian and Naïve Bayes Models in Fraudulent Firms Classification through Varying Threshold
Authors: Widodo Agus Wahyu , Handoyo Samingun , Irianto Gugus , Hidajati Ninik Wahju , Susanti Dewi Sri , Purwanto Imam Nurhadi
Published: December 2022

—Fraud detection is the first step to preventing fraud committed by both individuals and organizations. The development of a high-performance classification model to detect fraud is an interesting topic in machine learning modeling. A finding of the best Bayesian and Naive Bayes classification models is a crucial issue because both models are simple and easily applied models in the fields of life and social sciences. This study aims to obtain the best performance of classification models developed based on probability concepts, namely Bayesian and Naive Bayes models. Adding a threshold value to the decision-making criteria of the two models is an effort expected to can find models that perform superiorly. Data on the auditing of fraudulent firms containing of 775 firms from various business sectors in Australia is used as a case study. The testing data consisting of 100 instances were taken by cluster random sampling with a proportion of 61 non-fraudulent and 39 fraudulent firms and the remaining instances as the training data. The best Bayesian model has an average accuracy of 84% obtained at a threshold value of 0.22. While the best Naive Bayes model has an average accuracy of 94% which is obtained in the 15 threshold values. Adding the threshold value has a significant impact on the performance of the Bayesian model, which can increase the average accuracy from 36% to 84%. On the other hand, the average accuracy of the Naive Bayes model only increased by 1%, from 93% to 94%. Performance measures Sensitivity, Specificity, F1 score, and ROC curve of the Naive Bayes model are also superior to the Bayesian model.
Improving Energy Efficiency of Wireless Sensor Networks through Topology Optimization
Authors:   Department of Electronic Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria, Akende Stanley S. , Ahaneku Mamilus A. , Nwawelu Udora N. , Amazue Uchenna C. , Amoke Douglas A.
Published: December 2022

- Relevance of the field of wireless sensor networks (WSNs) is increasing, and one of the most pressing challenges is in energy usage. This makes it a resource restraint type network for wireless sensor nodes that contain small unchangeable battery. Sensor network design has been influenced by and depends on the application by factors such as scalability, power consumption, environment etc. Most of the energy is used for communications among the three energy-saving activities: sensing, processing and communication. In this paper, an energy efficient (energy conserving) routing protocol called Wireless Sensor Network Energy Reduction Routing Coordinate Algorithm (WSNERRCA) is proposed. This provides a more efficient energy consumption pattern in WSN, by using eight straight line routing coordinate to sink. It transmits data within nodes transmission range (single-hop) and multi-hopping along routes (coordinates) thereby saving energy and optimizing delivery. The energy-model is simulated using NS-2 and the residual energy computed with the aid of AWK programming language coding. This model out-performed its counterpart (EEEWSNMIA) by 6%, as seen in recent research work published by Elsevier based on the criteria of conserving the highest energy of the sensor network with a hundred and twenty nodes while upholding optimally the QoS factors.