bluuebunny/crossref_metadata_2025 huggingface dataset:
Vasiliy Ivanovich Oshkaderov and his contribution to the organization of anatomical departments
Authors: Usovich Aleksandr K. , Alexeeva Nataliya  T. , Sokolov Dmitriy A. , Ivanov Vitaliy A. , Chernova Valentina N.
Published: January 2023

Vasiliy Ivanovich Oshkaderov (18951951) is a prominent Russian anatomist whose name is associated with many medical universities. He began his career as a scientist and an organizer of medical education within the walls of Voronezh State University, graduating from the medical faculty and working at the department of anatomy under the guidance of professors I.V. Georgievskiy and G.M. Iosifov until 1929. From 1929 to 1931 Vasiliy Ivanovich headed the department of normal anatomy at the Kuban State Medical Institute named after The Red Army. From 1931 to 1937 he headed the staff of the anatomical departments at the First Leningrad Medical Institute and the P.F. Lesgaft State Institute of Physical Culture. In 1937, he was sent in the medical school-hospital, renamed the Vitebsk Medical Institute in 1938 to organize the department of anatomy. From 1940 to 1942 V.I. Oshkaderov served as the head of the department of anatomy of the Kronstadt Naval School. Activitiy of V.I. Oshkaderov is associated with the veterinary department of the Ivanovo Agricultural Institute, the Central Research Institute of Physical Culture in Moscow, the Leningrad Chemical and Pharmaceutical Institute, the Leningrad Agricultural Institute. The last three months of the life of Vasiliy Ivanovich were associated with the department of anatomy and chemistry of the Smolensk State Institute of Physical Culture. In this article, along with the main milestones of the scientific and organizational activities of professor V.I. Oshkaderov, previously unknown archival data are given that complement the pages of the biography of the scientist.
The results of the internship of a postgraduate student from Uzbekistan on the basis of the North-Western State Medical University named after I.I. Mechnikov in the framework of interuniversity cooperation
Authors: Khasanova Shakhnoza A. , Tajiev Botir M. , Abzalova Shakhnoza R.
Published: January 2023

The article is devoted to the results of the internship of a postgraduate student of the Tashkent Pediatric Medical Institute at the I.I. Mechnikov Northwestern State Medical University within the framework of the inter-university cooperation program dedicated to the development of research in the field of infectious diseases and the exchange of experience in the field of medical care for a new coronavirus infection.
The purpose of the internship of a postgraduate student of the Department of Infectious Diseases, Pediatric Infectious Diseases, Phthisiology and Pulmonology Sh.A. Khasanova was studying the specifics of providing care to patients with a new coronavirus infection in St. Petersburg. The program included a visit to the departments of Infectious Diseases, family Medicine, epidemiology, and disinfection, as well as a presentation at the All-Russian Conference with international participation Science and Practice. Why does a family doctor need clinical recommendations?, dedicated to the 25th anniversary of the scientific and practical journal Russian Family Doctor. The report highlighted the Uzbek experience of implementing measures to combat the new coronavirus infection and demonstrated their effectiveness. As part of the internship, the graduate student got acquainted with the peculiarities of providing inpatient and outpatient care to patients with COVID-19, including in-depth medical examination and the operation of the system of statistical registration of patients with a new coronavirus infection in the federal register, as well as the organization of epidemiological control in different periods of the pandemic of a new coronavirus infection.
The main result of the internship was the creation of a basis for effective and long-term cooperation between Russian and Uzbek universities in the field of scientific research and training of personnel for national health systems in the field of infectious diseases.
Effects of cocaine and HIV infection interaction on PSA expression in male and female mice
Authors:   , Huang Fangyi , Gaskill Peter J
Published: January 2023

Substance use is highly common in human immunodeficiency virus (HIV) infected population. Both cocaine and HIV affect the cognition, partially via regulating the neuronal plasticity of the corticoaccumbens circuitry. Polysialic acid (PSA) carried by the neural cell adhesion molecule (NCAM) is highly expressed on cells in this circuitry and manipulates the synaptic plasticity and associated cognitive function. It has been demonstrated that ovarian hormones regulate synaptic plasticity and, further, alter cocaine-seeking behavior in females. Therefore, we hypothesize that the PSA expression might be changed across the estrous cycle in this circuitry in females. Moreover, HIV infection and cocaine may interact to impact cognition by altering the PSA levels in this circuitry in males and females. Immunohistochemistry on tissue from mice euthanized at different phases of the estrous cycle revealed that PSA expression was regulated in a region and phase dependent manner. We observed lower PSA immunoactivity in the prelimbic cortex (PrL) in the proestrus phase than in the estrus and diestrus phase in wild-type female mice. However, no alterations of PSA immunoactivity were found in the infralimbic cortex (IL), the nucleus accumbens shell (NAcS), and the nucleus accumbens core (NAcC). To assess the effects of HIV and cocaine, human-CD34+ male and female mice that allowed the HIV infection in the brain of mice underwent HIV inoculation and cocaine conditioned-place preference (CPP). We found that neither cocaine injection nor HIV inoculation altered the PSA immunoactivity. However, HIV mice showed higher cocaine CPP. Their preference scores were negatively correlated with PSA immunoactivity in the PrL and the NAcC. Overall, our studies suggested that HIV-exacerbated cocaine sensitivity may be associated with reductions in PSA in the corticoaccumbens circuitry. This may further be modulated by sex and estrous cycle.
Legal Regulation of the Further Development of Procurement Digitalization in the Energy Sector
Authors:   Gazprom PJSC, Saushkina Snezhana M.
Published: January 2023

Large energy companies are also actively introducing new digital technologies in their companies’ activities, which facilitates rapid information exchange, document review, and approval not only within a company but also between a holding’s branches and subsidiaries. The process of digital transformation is very complicated and time-consuming; in fact, this process involves the reorganization of the company’s business model. Procurement digitalization helps to improve the quality of process management and the transparency of decision-making when determining the competitive procurement winner, to adjust the company’s budget, and to facilitate planning processes. The article analyzes the current state of legal regulation of procurement digitalization in companies of the fuel and energy complex, identifies problems and gaps in legal regulation, and formulates proposals on how to develop legal regulation of procurement in the energy sector.
Efectos deletéreos en el desarrollo de los niños a causa de la exposición temprana a pantallas: revisión de la literatura
Authors: Guerrero-Bautista Paula Daniela , Garavito-Sanabria Paula Samantha , Beltrán-Pérez Royman Felipe , González-Quintero Diana Sofia , González-Clavijo Angélica María
Published: January 2023

Desde la década de los 90 debido al aumento en el consumo de material audiovisual y particularmente desde el inicio del confinamiento por la pandemia de COVID-19, la humanidad ha estado más expuesta al uso de pantallas, siendo los niños una población vulnerable al estímulo ambiental debido a que están atravesando períodos críticos importantes en su desarrollo. Se realizó una búsqueda de la literatura en PubMed, Google Scholar y Lilacs. Aplicando los criterios de exclusión e inclusión se obtuvieron 53 referencias de las cuales se desarrolló la revisión. Se encontró que la excesiva exposición a pantallas es perjudicial para los niños al producir alteraciones del lenguaje, la sociabilidad, ciclo sueño-vigilia, el sistema límbico, la conducta y el sistema mesolímbico dopaminérgico; los cuales pueden afectar su desarrollo normal, dependiendo principalmente de la edad al momento de la exposición, del tiempo y si hay acompañamiento o no.
Factores que influyen en el cumplimiento y adherencia al tratamiento odontológico: una revisión exploratoria
Authors: Careaga-Leal Paola , Febré-Vergara Naldy , Cartagena-Ramos Denisse
Published: January 2023

Introducción: según la Organización Mundial de la Salud (OMS), las enfermedades bucodentales constituyen una importante carga para el sector salud en muchos países, ya que afecta a las personas durante toda su vida y causa dolor, molestias, desfiguración e incluso la muerte. El 50 % de los pacientes con enfermedades bucales crónicas presentan adherencia a las intervenciones en salud. Objetivo: analizar los factores que influyen en el cumplimiento y adherencia al tratamiento odontológico de los usuarios. Metodología: se realizó una scoping review basada en seis etapas. Se utilizaron las bases de datos bibliográficas de PubMed, Web of Science (WOS), Cumulative Index to Nursing and Allied Health Literature (CINAHL) y Google Scholar. La pregunta fue elaborada por medio del acrónimo PCC (Población, Concepto y Contexto). Fueron incluidos estudios empíricos y literatura gris, publicados entre los años 2015 a 2020. Todas las citas fueron importadas a través del gestor de referencia EndNote. Para la evaluación de la calidad metodológica de estudios primarios fue utilizado el checklist Mixed Methods Appraisal Tool (MMAT) y Authority, Accuracy, Coverage, Objectivity, Date, Significance (AACODS) para literatura gris. Fue realizado un análisis temático de acuerdo con seis etapas y basado en el modelo de proceso de la teoría de la autodeterminación (TAD). Para el reporte de la scoping review se utilizó PRISMA-ScR. Resultados: de un total de 282 estudios recuperados se incluyeron nueve artículos, uno cualitativo, seis de tipo cuantitativo, un análisis crítico y una tesis. Los factores que influyen en el cumplimiento y adherencia al tratamiento dental fueron categorizados según la calidad de vida relacionada con la salud oral y la salud oral autoevaluada. Conclusiones: la presente revisión analizó los factores que influyen en el cumplimiento y adherencia al tratamiento odontológico de los usuarios. La calidad de vida relacionada con la salud oral se caracterizó por el bajo nivel socioeconómico y baja alfabetización en salud oral, y la salud oral autoevaluada se caracterizó por el miedo o ansiedad dental y los perfiles de personalidad de cada paciente.
Role of Medical Insurance in Reducing Place‐based Health Disparities: Functional Disability in Rural Appalachia
Authors: Patrick Julie Hicks , Pullen Carly E. , Ibrahim‐Bacha Kareem , Spencer S. Mindi
Published: January 2023

Rural Appalachia, including the entire state of West Virginia, is characterized by high health disparities. Such place‐based health disparities contribute to disability across the lifespan and may exacerbate morbidity and disability in late life. Thus, examinations of the contributors to morbidity and disability at mid‐and late‐life are needed to inform policies and programs.

Using the most recent data from the Centers for Disease Control and Prevention's (CDC) Behavioral Risk Factor Surveillance System (BRFSS), we examine some of the social determinants of health (e.g., age, gender, education, income) as predictors of access to health care and functional ability among 4,867 adults living in West Virginia. Access to health care was indexed by three variables, including whether one had financial barriers to medical care, the number of personal medical care professionals one saw, and the recency of wellness exams. Functional ability was indexed using items assessing difficulty with dressing, climbing stairs, and doing errands. The model fit the data well for the entire sample, X2 (DF = 29, N = 4867) = 411.30, p < .001, CFI = .94, RMSEA = .052. Post hoc models with the age groups fit well, although some differences in specific paths emerged. Our results suggest that policies and programs that increase medical access for current middle‐aged and older adults might decrease functional ability. Moreover, as the younger adults age into midlife, they enter with lower economic and educational resources, further exacerbating their lack of access to health care and increasing disability in future generations of West Virginians.
Patient‐Provider Relationships in an All‐Inclusive Specialized Geriatric Program: A Longitudinal Qualitative Study among Older Foreign‐Born Latinos with Multimorbidities
Authors: Bravo Rosana L. , Gutiérrez Ángela , Levy‐Storms Lené F.
Published: January 2023

Objective

The quality of patient‐provider relationships (PPR) is directly related to delivering patient‐centered care and improved healthcare outcomes (e.g., adherence to medical treatments) and differs across types of patients to the point of health disparities. PPRs are further complicated when factoring in multiple chronic health conditions, language barriers, and limited time. This qualitative longitudinal study explored the perceived acquiring of high‐quality PPR among older foreign‐born Latinos over time.

Methods

We recruited 13 patients with multi‐morbidities from nine Program of All‐Inclusive Care for the Elderly (PACE) centers. Researchers conducted three rounds of in‐depth interviews in Spanish (N=39 interviews) over 13 months. The first interviews were conducted face‐to‐face and lasted one hour on average. The second and third were conducted over the phone and ranged from 60 to 90 minutes. Data were analyzed using line‐by‐line in vivo coding, identifying categories, and themes.

Results

Patients reported their perceived PPR as a continuum across time, establishing three hypothesized hierarchical developmental levels to the PPR: the good doctor, the doctor of trust, and the advocate. The layers of levels built upon each other. The first level, the good doctor, was the most superficial as it focused on the physicians' technical expertise. The second level, the doctor of trust demonstrated trustworthy characteristics over time. The third level, the advocate, embodied all that a person of trust was plus an additional advocacy dimension.

Conclusion

Unique study characteristics allowed for an exploration of PPRs. Findings elucidate factors (e.g., expertise, trust, advocacy) that contribute to the development of strong PPRs. To enhance PPRs, strategies should be considered to develop trust and advocate for patients' needs.
Investigation of Spirals Rectangular and Rectangular Tubes Collector Design in Photovoltaic Solar Cell Cooling Systems
Authors: Khairunnisa Nuha , Arifin Zainal , Kristiawan Budi , Hijriawan Miftah , Prasetyo Singgih Dwi
Published: January 2023

As the primary basis for electricity production, fossil fuels continue to decline. Solar Photovoltaic (PV) can be developed by utilizing solar energy. However, solar PV has low efficiency due to overheating from solar irradiation. This article analyzed forced convection Sunwatt 50Wp solar PV water cooling to lower the PV temperature and increase efficiency. The heat exchanger uses a spiral and rectangular configuration mounted on the back of the Sunwatt 50Wp solar PV panel with water flow. Sunwatt 50Wp solar PV testing using a solar simulator at an intensity of 470 W/m2, 625 W/m2, 870 W/m2, and 1000 W/m2. The test results show a decreased working temperature on spiral cooling at all intensities compared to solar PV without cooling. This impacts the low-performance value of solar PV without cooling. The intensity of 1000 W/m2 has a high value due to the release of electrons from the atoms in the cell. These results impact increasing electricity efficiency in Sunwatt 50Wp solar PV by cooling. At high intensity, the temperature increases causing the ability to increase efficiency to decrease. However, water cooling can increase electrical efficiency because the particles are evenly distributed in the heat exchanger, which causes a high heat transfer rate.
Technical Suitability of Energy Saving Scheme for Optimizing the Thermal Insulation Layer Thickness of Residential Building Exterior Wall
Authors: Shen Tianqing
Published: January 2023

From the perspective of technical suitability, this paper comparatively analyzed the economical thickness and suitable thickness of exterior wall thermal insulation material with the highest energy saving rate of building envelop, and attained the relationship, curves, and model of the economical thickness and suitable thickness of the insulation material. The purpose of this paper is to provide useful evidences for the energy saving of residential buildings and the optimization of the design of exterior wall, so that architectural designers could be inspired to consider the energy-saving issue of buildings from multiple angles such as economy and environment, and the optimal design scheme that is most beneficial to the environment could be created. This paper lays a theoretical basis for making investment decisions of energy saving buildings and avoiding unwise investment.
Thermal Performance Assessment for an Active Latent Heat Storage Tank by Using Various Finned-Coil Heat Exchangers
Authors: Ismail  , Syahbana Muhammad Syukur Liffan , Rahman Reza Abdu
Published: January 2023

Paraffin-based latent heat storage has a higher thermal capacity than sensible heat storage. Despite that, the actual implementation of paraffin as an active latent heat storage (ALHS) system is limited due to low charging and discharging rate with unequal temperature distribution as the impact of mushy region formation. The present study evaluates the finned-coil heat exchanger for the ALHS tank to overcome the related problems. Three finned-coil configurations are tested experimentally: straight-fin, branched-fin and height-fin. The evaluation uses the ALHS arrangement to assess each configuration's charging/discharging rate. The branched fin provides an equal thermal distribution, promoting a higher final temperature of 112.3°C. It also achieves the highest power rate of 250.5 Watts. The height-fin minimizes the effect of void formation, which maintains a sufficient heat transfer rate during the discharging. However, the average power rate for each model is relatively low. The finding indicates that it is essential to provide adequate heat transfer for the center part of the tank, including adding a branched fin along with coil turn to provide a better heat transfer rate. It boosts the charging/discharging rate, making the system's response time desirable to achieve effective power during the operation.
Reconstruction of the Thermal Source from the Temperature Measured Case of Surface Heat Treatment of Steel by Laser Beam
Authors: Maniana Mohamed , Azim Azzedine , Errchiqui Fouad , Tajmouati Abdelali
Published: January 2023

The problem posed in the surface heat treatment industry of metallic materials is the knowledge of the amount of energy required and its correct distribution on the treated surface for the achievement of a better quality of the metallurgical structure of treated parts. To succeed in this operation, manufacturers are required to carry out many expensive and time-consuming experiments. This work consists in predicting the energy density applied to the surface of a metal part, during surface heat treatment by a laser beam, based solely on temperature measurements taken under the treated surface. This problem in the mathematical sense is called the reverse heat transfer problem. The solution of this inverse problem of heat conduction allows us to predict the density of the energy necessary to be applied to the surface from the desired metallurgic structure characterized by a well-defined temperature distribution. The optimization method used in this work is that of the conjugate gradient thanks to its speed of convergence, its quality of precision and also to stability. Many similar works have been developed in the literature using the inverse method but only to estimate thermo-physical characteristics such as thermal conductivity, thermal capacity mass, point heat source, etc. using conventional numerical methods. But in no case to estimate the complex profile of an energy density applied to the real processing of steel using the conjugate gradient algorithm.
Placental expression of Fatty Acid Desaturases 1, 2 and 3 in selected pregnancy pathologies
Authors: Bobiński Rafał , Mazurek Urszula , Zmarzly Nikola , Ulman-Włodarz Izabela , Dutka Mieczysław , Pizon Monika , Pollok-Waksmańska Wioletta , Pielesz Anna , Hajduga Maciej , Zimmer Karolina , Bujok Jan , Pająk Celina , Ilczak Tomasz
Published: January 2023

Intrauterine development is a key period in human life. The foetal progress largely depends on the function of the placenta, whose responsibility is transportation and biosynthesis of fatty acids. Desaturation enzymes play a key role in placental fatty acid metabolism. Expression of genes coding for desaturases may be associated with pregnancy abnormalities. The objective of this study was to determine the transcriptional activity of the placental genes Fatty Acid Desaturases 1, 2 and 3 (FADS 1, 2 and 3) in women who gave birth to the infants appropriate for gestational age, large for gestational age, small for gestational age, with intrauterine growth restriction and born preterm. 34 pregnant women aged 21–37 years old participated in the study. The placental samples were taken from a site located 2–3 cm away from the umbilical cord attachment. The collected tissue sections were stored in RNAlater according to the manufacturer’s protocol, until required for molecular analysis. The expression profiles of FADS1, FADS2 and FADS3 were determined with RT-qPCR. There was no difference in FADS1 and FADS2 expression between the groups. However, the differences in the expression of the FADS3 were found. Analysis of the FADS1, FADS2 and FADS3 transcription showed significant differences between most of the examined groups. Our findings suggest that the transcriptional activity of FADS genes changes with the severity of intrauterine disorders and is associated with foetal lipid disorders linked to a greater accumulation of fat in the foetal tissues.
The Influence of Organizational Culture on Organizational Effectiveness in Medical Estheticians
Authors:   The Korean Society of Beauty and Art, Kim Eun-Hee , Lee In-Hee
Published: January 2023

This study attempted to investigate the influence of organizational culture on organizational effectiveness against medical estheticians who are essential labor forces in medical aesthetics market. For this, a questionnaire survey was performed from June 3 to 5, and a total of 267 copies were collected and used for final analysis.
The results found the followings: First, in terms of the effects of organizational culture on trust, as consensual culture and development culture improved, organizational trust increased. Second, in the influence of organizational culture on organizational effectiveness, as consensual culture and development culture improved, job satisfaction increased. Third, regarding the effects of trust on organizational effectiveness, as organizational trust and trust in supervisor improved, job satisfaction increased. Therefore, it is required to recognize the importance of medical estheticians’ roles and establish an organizational management system for proper labor management.
It is anticipated that the study results would be helpful in developing a plan to build employees’ competency through goal achievements and accomplish customer satisfaction through effective marketing.
T-Schemes for Mathematical Modelling of Vorticity Generation on Smooths Airfoils in Vortex Particle Methods
Authors: Marchevsky I.K. , Sokol K.S. , Izmailova Yu.A.
Published: January 2023

New numerical schemes are proposed for solving the boundary integral equation that arises in CFD vortex particle methods of when simulating a plane flow around smooth airfoils. They are based on considering the 2-nd kind integral equation with respect to vortex sheet intensity with a bounded or absolutely integrable kernel instead of traditionally solved singular integral equations of the 1-st kind with Hilbert-type singularity. To solve it, the Galerkin approach is used. It is shown that when approximating the airfoil boundary with a polygon, it is possible to develop schemes of the 1-st and 2-nd order of accuracy, considering a piecewise-constant or piecewise-linear (discontinuous or continuous) distribution of the solution along the panels. The necessary formulae are presented for calculating the components of the matrix and the right-hand side of the system of linear algebraic equations, that is a discrete analogue of the integral equation. They are suitable for modelling of the vorticity generation when simulating the flow around either single airfoil or system of airfoils, including moving and/or deformable ones. The developed schemes can be used in the framework of the viscous vortex domains method as well as other modifications of vortex particle methods, since they only concern the convective velocities of the flow near the airfoil and are not related to methods for modeling viscous diffusion of vorticity
RESPON PERTUMBUHAN DAN DENSITAS STOMATA ANGGREK Phalaenopsis HIBRID PADA FREKUENSI PENYIRAMAN BERBEDA SELAMA PERIODE AKLIMATISASI
Authors: Prahasti Nurullita , Setiari Nintya , Saptiningsih Endang
Published: January 2023

Aklimatisasi anggrek Phalaenopsis membutuhkan faktor lingkungan yang mendukung, diantaranya adalah ketersediaan air dan kelembaban media. Ketersediaan air yang dibutuhkan oleh planlet dapat dipenuhi dengan adanya penyiraman. Salah satu respon tanaman yang berkaitan dengan ketersediaan air adalah densitas stomata. Penelitian ini bertujuan untuk mengetahui respon pertumbuhan dan densitas stomata planlet anggrek Phalaenopsis hibrid pada fase aklimatisasi dengan frekuensi penyiraman yang berbeda dan untuk mengetahui frekuensi penyiraman yang optimal dalam mendukung pertumbuhan planlet anggrek. Penelitian dilakukan secara eksperimental dengan perlakuan frekuensi penyiraman 1 kali sehari, 2 kali sehari dan 3 kali sehari. Desain penelitian adalah Rancangan Acak Lengkap (RAL) dengan faktor tunggal yaitu frekuensi penyiraman. Analisis data menggunakan Uji Anova dan uji lanjut LSD dengan taraf signifikan 5%. Hasil penelitian menunjukkan bahwa plantlet dengan frekuensi penyiraman 1 kali sehari menghasilkan luas daun, kandungan pigmen fotosintesis dan berat segar tertinggi. Secara umum perbedaan frekuensi penyiraman tidak memberikan pengaruh yang signifikan pada pertumbuhan akar, jumlah daun dan densitas stomata. Frekuensi penyiraman 1 kali sehari merupakan frekuensi penyiraman optimal untuk planlet anggrek Phalaenopsis hibrid pada fase aklimatisasi.Kata kunci: adaptasi, air, humiditas, kerapatan, pigmen
Lead and Cadmium Residues in Commercial Poultry Eggs in West Java Indonesia
Authors: Harlia Ellin , Marlina Eulis Tanti , Hidayati Yuli Astuti , Hindersah Reginawati
Published: January 2023

Anthropogenic contamination of heavy metals in both soil and water threatens human health through the consumption of livestock products. Important heavy metal toxins, namely lead (Pb) and cadmium (Cd) are present in livestock feed and drinking water and detected in poultry meat and eggs. This study aimed to detect Pb and Cd in poultry eggs (local farms, commercial farms, quail, and ducks) that are consumed by humans almost every day and considered a source of pollution in the environment farm. This research was exploratory research using the survey method and the samples were drawn randomly. The data were analyzed descriptively by calculating the mean of the heavy metal content of Pb and Cd in the samples studied and then compared with the Maximum Residue Limit of Pb and Cd recommended by the Food and Drug Supervisory Agency of the Republic of Indonesia No. 5/2018. The results showed that Pb content in poultry eggs exceeded the Maximum Residue Limit, which was 0.2500 mg/kg except for Pb content in duck eggs and Cd content in poultry eggs in which the samples were below the Maximum Residue Limit.
Reduction in Methane Productions from Sheep by Supplemented of Moringa oleifera Leaf Extract in The Ration
Authors: Suryapratama Wardhana , Suhartati Fransisca Maria
Published: January 2023

This study aimed to evaluate the decreasing methane gas production in sheep by supplementing Moringa oleifera extract in the ration. The study was conducted in a Completely Randomized Design with One Way Classification. The treatment of Moringa oleifera extract was offered at 0, 0.25 and 0.50% of DM ration, each with six replicates, which constitutes 18 treatment units. The materials included ruminal fluid of three freshly slaughtered thin-tailed sheep derived from an abattoir in Banyumas Central Java. Moringa oleifera leaves were oven-dried at 60ºC for 2 x 24 h, ground into powder, and extracted using ethanol. The ration consisted of concentrate and ammoniated rice straw with a ratio of 60:40 (DM basis). The concentrate was composed of 2:1 rice bran and coconut meal. The measured variables included total protozoa, methane gas production, total bacteria, N-NH3 concentration, and protein synthesis of ruminal fluid. The result indicated 0.50% Moringa oleifera extract (DM basis) produced the lowest total protozoa, the highest total bacteria and protein microbe synthesis, and the lowest methane gas production.
AUTO SCALING DATABASE SERVICE WITH MICRO KUBERNETES CLUSTER
Authors: Nasution Anita Rosdina , Dewanta Favian , Aditya Bagus
Published: January 2023

Data storage media, or what is often referred to as a database is something that is quite vital for technological developments. As the amount of data increases, it allows database services to experience downtime. For this reason, it is necessary to build an infrastructure that can replicate itself, so that it will avoid downtime. This infrastructure can be built using a container orchestration tool called Kubernetes which has high availability and autoscaler features, so it can replicate and guarantee service availability, to avoid downtime. This research builds a MongoDB NoSQL database service. This service is built using micro Kubernetes clusters from several different data centers. This service also implements a horizontal pod autoscaler feature that is capable of replicating pods, to increase high availability and avoid downtime. The autoscaling process will be tested by providing a load request for the service. Testing is done several times on each server. This study will compare the MongoDB service that was built monolithically with a micro Kubernetes cluster, and with HPA features and without HPA features by paying attention to several things. Based on Response Time, Response Code per Seconds, and CPU Usage, the results obtained are that the service built on a micro Kubernetes cluster with HPA features is the best, with a constant response time value below 100 ms, Response Code per Seconds reaches 500 threads per second. seconds, and CPU Usage in the range of 30 – 55%.
IMPLEMENTATION OF SURVIVAL ESTIMATION OF BONE MARROW TRANSPLANT PATIENTS WITH SEMIPARAMETRIC HAZARD FUNCTION USING MINITAB SOFTWARE
Authors: Prasetyo Hanung , Tridalestari Ferra Arik , Wikusna Wawa
Published: January 2023

The Hazard Rate probability value estimation method is an estimation model that is carried out fully parametrically or it can also be done by non-parametric methods. Sometimes using the parametric method will give biased value results because it gives too much value in general, while the non-parametric estimation method causes the variance value to be too high. Therefore, for some cases there is a way to combine the two methods, which is called the Semiparametric method, which is an estimation method that has the characteristics of improving non-parametric parametric estimates. This paper shows that the semiparametric hazard method gives better results than parametric and non-parametric methods. The basis for developing the semiparametric probability method is to roughly estimate the probability of a parametric conjecture as a first step and then proceed with several correction models for setting data. The implementation of the probability value in this study uses the Life Time data of Transplant bone patients at Hospital X with the help of Minitab software analysis.
TWITTER SOCIAL MEDIA SENTIMENT ANALYSIS AGAINST BITCOIN CRYPTOCURRENCY TRENDS USING RAPIDMINER
Authors: Julianto Indri Tri , Kurniadi Dede , Nashrulloh Muhammad Rikza , Mulyani Asri
Published: January 2023

Cryptocurrency trends, especially Bitcoin, have gained a place in a group of people and there are even countries that already use Bitcoin as a legal transaction tool. The dynamics that occur in this Bitcoin trend make many new users. This lack of understanding of the technology can cast doubt on those who want to get started, so it is necessary to conduct sentiment analysis to increase knowledge of what Bitcoin is and how it works. This study aims to conduct a Sentiment Analysis regarding Bitcoin through Twitter social media, so that their opinion on this technology will be known. The method used is by using Tweet data that has been downloaded on the www.data.world.com website. The data is the result of using the Crawling technique, then sentiment analysis is carried out to classify a tweet into Neutral, Positive, or Negative. The results showed that from the 1998 dataset, 46.69% were classified as Neutral, then Positive, 43.54%, and 9.75% Negative.
COVID-19 DIAGNOSIS EXPERT SYSTEM WITH CERTAINTY FACTOR METHOD
Authors: Arifah Novia Nur , Wibowo Jati Sasongko
Published: January 2023

Covid-19 is a new type of virus that is currently a pandemic in almost all countries. The limitations of experts for diagnosis and recommending rapid action to patients who are diagnosed positively, as well as the limitations of the expert area in the environment wh           ere the Covid-19 outbreak occurred. This expert system aims as an early diagnosis system for Covid-19 so that patients can receive treatment immediately, and help stop the wider spread of the virus. Using predetermined parameters and there is also a system that can later make it easier for users to find out the diagnosis of Covid-19 caused by the coronavirus. The method used for this expert system research is Certainty Factor (CF). This method aims to showed how much the confidence value is based on the clinical parameters given by MYCI. The advantage of the Certainty Factor method is that it can be measured something that is certain or uncertain. And to maintain accuracy, Certainty Factor can only process two data. The Expert System uses the Certainty Factor (CF) method to diagnose Covid-19 disease, starting with the collection of symptom data and giving confidence values by the expert on each symptom, then the symptom data input stage from the user and the system will calculate based on the Certainty Factor rule, multiplying the weight value namely user CF and expert CF, combining the results of the multiplication of each symptom, so that a percentage of confidence is obtained as the final diagnosis result. After calculating the accuracy test of the 3 rule system with 99% positive Covid-19 results, 48% most likely Covid-19 and 29% negative Covid-19.
IDENTIFICATION OF MENTAL ILNESS FROM PATIENT DISEASES USING KNN AND LEVENSHTEIN DISTANCE ALGORITHM
Authors: Rahma Yustika , Prasetiadi Agi , Wibowo Merlinda
Published: January 2023

According to WHO, in 2017, the estimated number of people with mental disorders worldwide was around 450 million people, including schizophrenia. Globally, for the condition of Southeast Asia alone, the number of people affected by mental disorders is 13.5%. Meanwhile, 13.4% of cases in Indonesia are affected by mental illness. The Association of Mental Medicine Specialists (PDSKJ) during October 2020 noted that 5661 people who did self-examination through the PDSKJ website came from 31 provinces and found that 32% of the population had psychological problems and 68% had no psychological issues. Seeing that the level of mental illness in Indonesia is increasing, it is necessary to have a system to help the community with early prevention and treatment. With the growth of technology at its peak, Machine Learning technology can overcome the problem which is part of artificial intelligence. Furthermore, machine learning has an important role in improving the quality of health services because it is able to provide a medical diagnosis to predict disease. Therefore, the authors conducted a study to create a system to identify mental illness using the TF-IDF method. This method calculates the word weighting from a collection of complaints that the user gives. Then, these complaints will be classified using the KNN algorithm classification method and the Levenshtein Distance method to find the distance between the word inputted by the user and the word in the database and then calculate the number of differences between the two strings in the form of a matrix. The accuracy result of this machine learning classification is 0.928 or 93%, and will be visualized through web-based software using the Flask framework.
IMPLEMENTATION OF MARKET BASKET ANALYSIS WITH APRIORI ALGORITHM IN MINIMARKET
Authors: Priyanto Abdul Hafiidh , Arifa Amalia Beladinna
Published: January 2023

The rapid growth of the retail business has an impact on increasing the economic growth of the community. The retail business has high profit potential in areas that have a large population such as Indonesia. A retail business that is popular among the public is a modern market retail business or convenience store. With the rapid growth, it gives a tendency between convenience stores to compete. By designing a marketing strategy is one of the efforts to win the competition in supermarkets. Management needs to understand the purchase behavior made by customers, this action is useful to find out the products that customers are popularly buying. Association algorithm is a form of algorithm in the field of data mining that serves to provide correlation between one item and another. there are several popular algorithms in applying association algorithms one of which is the a priori algorithm created by Agrawal and Srikant in 1994. To support the understanding of customer purchase patterns, it is necessary to implement market basket analysis that has the ability to recognize pattern patterns from transaction data in a convenience store. Performance in market basket analysis also needs to be tested to handle a lot of transaction data, considering that the recording of sales transaction data continues to run over time. The implementation carried out using flask is one of the implementations that is relevant to technological developments, this implementation results in a relatively short data speed with the factor that the magnitude of transaction data is middle to lower, which is 14,963 transaction data.
IMPLEMENTATION OF USER INTERFACE AND USER EXPERIENCE CAR WASH SERVICE PROVIDER ANDROID BASED APPLICATION “SPOTLESS” USING DESIGN THINKING METHOD
Authors: Achmadi Diva Kurnia , Rahayu Swahesti Puspita , Kurniawan Yogiek Indra
Published: January 2023

"SPOTLESS" is an Android-based mobile application that provides car wash services to assist customers in ordering car wash appointments and vehicle wash pick-up services at the customer's desired place. "SPOTLESS" can be a solution for car users to avoid long queues for car washing or the lack of time to take their car directly to the washroom. The increasing demand for vehicle washing services affects business competition in this business, causing many customers to complain because they have to wait in queues for too long, disrupting customers' routine activities. To improve customer satisfaction, the interface is designed using the design thinking method, which was tested using the eye-tracking method through 5 participants to determine the feasibility level from the user's side After 3 iterations of testing using Maze, we got a usability score of 86 which is included in the high usability category.
COMPARISON OF FEATURE SELECTION TO PERFORMANCE IMPROVEMENT OF K-NEAREST NEIGHBOR ALGORITHM IN DATA CLASSIFICATION
Authors: Iswanto Iswanto , Tulus Tulus , Poltak Poltak
Published: January 2023

One of the most widely used data classification methods is the K-Nearest Neighbor (K-NN) algorithm. Classification of data in this method is carried out based on the calculation of the closest distance to the training data as much as the value of K from its neighbors. Then the new data class is determined using the most votes system from the number of K nearest neighbors. However, the performance of this method is still lower than other data classification methods. The cause is the use of the most voting system in determining new data classes and the influence of features less relevant to the dataset. This study compares several feature selection methods in the data set to see their effects on the performance of the K-NN algorithm in data classification. The feature selection methods in this research are Information gain, Gain ratio, and Gini index. The method was tested on the Water Quality dataset from the Kaggle Repository to see the most optimal feature selection method. The test results on the dataset show that the use of the feature selection method affects to increase the performance of the K-NN algorithm. The average increase in the accuracy value obtained from the value of K=1 to K=15 is the Information Gain increased by 1.17%, Gain ratio increased by 0.69%, and the Gini index increased by 1.19%. The highest accuracy value in the classification of the Water Quality dataset is 89.66% at K=13 with the Information Gain feature selection method.
IMPLEMENTATION OF WEBSITE BASED E-MARKETING STRATEGY IN ORGANIC COCONUT SUGAR BUSINESS GROUP
Authors: Chasanah Nur , Anggraeni Ade Irma , Ramadhanti Wita , Krisnaresanti Aldila , Naufalin Lina Rifda , Dinanti Aldila
Published: January 2023

Coconut as one of the plantation commodities in Indonesia which has been processed into various products, one of which is organic coconut sugar. Organic Coconut sugar is one of Indonesia's natural products that has high competitiveness in the domestic and international markets. However, the fulfillment of the needs of the large organic coconut sugar market is still met not by direct producers but through various sales intermediaries. KUB Central Agro Lestari located in Purbalingga Regency is one of the producers of organic coconut sugar with a production capacity of over 200 tons/month. One way of marketing that has been taken by KUB Central Agro Lestari is to use a website to educate consumers about organic coconut sugar as well as a model for receiving orders from consumers. This study aims to implement an e-marketing strategy in the organic coconut sugar group, especially at KUB Central Agro Lestari. The method used in making this system is the waterfall method where this method has 5 stages, namely user needs analysis, system design, implementation, testing and maintenance. The results of the black-box test show valid results for all features which indicate that this website is as expected. From the results of black-box testing, it can be concluded that this website is appropriate to be used as a tool to implement e-marketing strategies at KUB Central Agro Lestari, Purbalingga.
ANALYSIS OF ANDROID BASED PALEMBANG BIBIK SAYUR APPLICATION USING USABILITY TESTING
Authors: Ariandi Muhamad , Risqi Muhammad Naufal
Published: January 2023

The Bibik Sayur application is an application-based online grocery shopping owned by Palembang people, who are already very familiar with telecommunications technology. One of them is by using this application, it invites people to shop from home with quality goods and low prices. Moreover, in the midst of the spread of Covid-19, they have to face the crowd to find the quality goods they want. The problem that exists in this research is that the Bibik Sayur Application does not yet know the extent of the community's level of utility in using the Bibik Sayur Application service. From these problems, the Bibik Sayur application needs to be evaluated using usability testing which is a process where the software is tested to see how useful it is for the user, and if the user or user is satisfied with the software, it can be concluded that the application can be used properly. To measure usability testing on the Bibik Sayur Application, there are five usability aspects used, namely Learnability (easy to learn), Efficiency (efficiency), Memorability (easy to remember), Errors (error and security) and Satisfaction (satisfaction). The results showed the measurement of usability testing in all aspects, the score obtained was 84%. Based on the feasibility measurement scale, the value between the scale of 81-100 means that the Bibik Sayur Android application is very suitable for use by the people of the Sako sub-district, Sialang village.
Investigation of Morphology, Crystal Structure, and Gas Sensing Behavior of Composite Ceramic
Authors: Aliah Hasniah , Setiawan Andhy , Iman Ryan Nur , Syarif Dani Gustaman , Sawitri Asti , Putri Assa Prima Dasti
Published: January 2023

This report aimed to know the performance of local mineral-based composite ceramic. The materials used consist of Indonesian local minerals, which are jarosite and manganite minerals as sources of oxide iron and Mangan. The materials were synthesized using the precipitation method, whereas composite ceramic was fabricated using a screen printing method and fired at 600 oC using a furnace. The results of the characterizations indicate that the sample forms three phases on diffraction peaks. The differences in the resistance values in ambient and ethanol environments indicate that the sample has very different responses. The high porosity of the sample greatly support the gas adsorption process. Thus, the sample has a high level of sensitivity. With the above characteristics, the composite ceramic which was fabricated has the potential to be applied to gas sensors, especially ethanol gas sensors.
How to Begin a Lean Journey: A Practical Guide to Using Lean Construction Practises on Projects
Authors: Obinnaya Chikezie Victor Nwosu
Published: January 2023

The move to lean construction is a lengthy process that may call into question established ways of construction management delivery. The objective of this article is to help businesses take the first step on this route by introducing a few lean manufacturing techniques and practices that may be used on projects over the next few weeks. Although the construction industry has come a long way since its start, the essential technology to change it has not yet found a home. The digital switch has now entered the construction industry to boost production. Artificial intelligence (AI) is a discipline of computer science described as the potential of machines to mimic intelligent human behavior by modelling traditionally complicated problems using human-inspired techniques. Due to its complexity, AI distinguishes itself from lower degrees of digitalization. The complexity of artificial intelligence involves the formation of new circumstances for human collaboration and trust. This dissertation investigates the application of artificial intelligence and the suitable interaction between humans and AI-based technologies. This study attempts to shed light on how the construction industry may close the gap between the potential and actual benefits of artificial intelligence deployment. Comparing the prospective benefits of AI implementation to the present benefits and challenges of AI deployment in the construction industry revealed the disparity.