bluuebunny/crossref_metadata_2025 huggingface dataset:
Protocol for Forearm Pronosupination Strength Measuring in Different Postures: Reliability and Influence of Relevant Factors
Authors: Ligero Cristina Herrera , Zuriaga Daniel Sánchez , Iranzo Úrsula Martínez , Corresa Salvador Pitarch , De Rosario Helios
Published: October 2023

Importance: Despite the importance of pronosupination strength, which is key in daily activities, current evaluation protocols are disparate, and results differ regarding the influence of factors such as gender, age, limb dominance, or posture.

Objective: To design a reliable device to measure pronation and supination torques in different forearm positions, considering the influence of gender, age, and limb dominance.

Design: Reliability study with analysis of intrarater and interrater repeatability and examination of the influence of different factors on the strength of pronation and supination.

Setting: Biomechanical analysis laboratory of the Instituto de Biomecánica de Valencia.

Participants: Convenience sample of 39 healthy male and female participants, ages 18 to 65 yr.

Outcomes and Measures: Pronation strength and supination strength were studied in five forearm positions: 30° and 60° of supination, neutral rotation, and 30° and 60° of pronation. The influence of gender, age, and limb dominance was studied using repeated-measures analysis of variance. Intrarater and interrater reliabilities were studied in 17 participants, and the intraclass correlation coefficients (ICCs) were calculated from three measurement sessions.

Results: Except for 60° of pronation, all ICCs ranged from .72 to .97. Gender, limb dominance, and posture significantly affected pronosupination strength (p < .05), with the highest supination strength at 60° of pronation and the highest pronation strength at 60° of supination.

Conclusions and Relevance: In using this reliable pronosupination torque assessment device and standardized protocol in the clinical setting, clinicians must consider the influence of gender, limb dominance, and forearm posture.

What This Article Adds: The results of this study will allow occupational therapists to establish differences between patients’ functionality in comparison with healthy individuals and to design recovery treatments and facilitate performance of manual tasks, considering which are the most advantageous positions to exert force. Furthermore, the developed device can be used to monitor the evolution of these torques in an objective and reliable manner.
Uterine Arteriovenous Malformation: A Near-Missed Fatal Misdiagnosis?
Authors: Cindy Chin  , Dayang Corieza Febriany
Published: October 2023

Less than 100 cases of uterine arteriovenous malformations (AVM) have been documented. The true incidence remains unknown with 30% complicated by hypovolemic shock. Women who experience unexplained vaginal bleeding may consider this diagnosis. We chose to emphasize this case because, while being a rare disease, it could cause mortality if misdiagnosed. In this case, a 23-year-old lady, para 1+2 with a history of several miscarriages and curettage, complained of per vaginal bleeding more than 2 months after her suction and curettage on September 2018. Her second visit was managed as having retained product of conception and another curettage was conducted. Despite this, the patient still has worsening vaginal bleeding which leads to her third visit. A bedside ultrasound was conducted and suspected uterine AVM. This was then further confirmed with contrast-enhanced computed tomography of the pelvis and pelvis angiography. Five Micronester coils and 10% Histoacryl adhesive were used to successfully embolize the uterine artery. This case report served as a valuable lesson on the importance of having a proper diagnosis and prompt treatment to avoid fatal misdiagnosis which could have disastrous consequences.
The Implementation of Jigsaw Methods in Enhancing English Language Comprehension among Health Polytechnic Students
Authors: Amelia Noer , Istanto Wisnu , Edi-Krause Sulistyaning , Anggoro Sapto Dwi , Suemith Merlissa
Published: October 2023

The purpose of this research is to find out how much students at Health Polytechnic benefit from using Jigsaw techniques to better understand written English. In order to effectively communicate and understand medical principles and procedures, having a strong grasp of the English language is crucial in the healthcare industry. The study looked at how well 78 students from Poltekkes Kemenkes Surabaya learned using a Reading Proficiency test, traditional methods, and pre- and post-test experimental designs. It also used T-tests to look at the results. for a subset of the larger topic, which improves the group's ability to solve problems and make informed decisions. When students from different backgrounds have mastered a subject, they get together to share what they've learned and help each other out. The use of a group strategy not only leads to better overall comprehension, but also to the growth of interpersonal and communicative skills. The purpose of this research is to determine if teaching English using the Jigsaw method is effective for students at Health Polytechnics. The study will rely on statistical methods.
Keywords: Jigsaw Method, Reading Proficiency, Cooperative Learning Strategy
ԷԹՆՈԲՈՒՍԱԲԱՆԱԿԱՆ ՏՈՒՐԵՐԻ ԿԱԶՄԱԿԵՐՊՄԱՆ ԱՌԱՆՁՆԱՀԱՏԿՈՒԹՅՈՒՆՆԵՐԸ ԶԲՈՍԱՇՐՋՈՒԹՅԱՆ ՈԼՈՐՏԻ ՄԱՍՆԱԳԵՏՆԵՐԻ ԿՈՄՊԵՏԵՆՑԻԱՅԻ ԲԱՐՁՐԱՑՄԱՆ ՆՊԱՏԱԿՈՎ / PECULIARITIES OF ORGANIZING ETHNOBOTANICAL TOURS TO INCREASE THE COMPETENCE OF TOURISM SPECIALISTS
Authors: DAVTYAN SMBAT , VARDANYAN MARY , SIMONYAN NARINE
Published: October 2023

The article discusses the content and the essence of ethnobotanical tours, the resources and objects as the basis of these tours, the stages of organizing, events and the importance for tourism specialists.
The material basis for organizing ethnobotanical tours is briefly presented: landscapes, specially protected natural and cultural territories, tangible and intangible cultural heritage, enterprises picking and processing plant-based raw materials, organizations studying and exhibiting plant heritage - botanical gardens, museums, etc.
The role of ethnobotanical tours in expanding the knowledge of future tourism specialists in patriotism, developing communication skills, gaining experience, receiving heritage from the older generation, etc. is highlighted.
The stages of organizing educational ethnobotanical tours intended for future tourism specialists are presented and considered: trail preparation, research of the characteristics of the studied plants in nature or in museum funds, harvesting, processing of plant materials.
In order to increase the frequency and variety of organizing tours, the following activities are proposed: the organization of new or the restoration of previously organized festivals representing the traditional cuisine and dishes of the region, communities, residences, the implementation of joint ethnobotanical research of lecturers and students, etc.
Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India
Authors: Campmier Mark Joseph , Gingrich Jonathan , Singh Saumya , Baig Nisar , Gani Shahzad , Upadhya Adithi , Agrawal Pratyush , Kushwaha Meenakshi , Mishra Harsh Raj , Pillarisetti Ajay , Vakacherla Sreekanth , Pathak Ravi Kant , Apte Joshua S.
Published: October 2023

Abstract. Lower-cost air pollution sensors can fill critical air quality data gaps in India, which experiences very high fine particulate matter (PM2.5) air pollution but has sparse regulatory air monitoring. Challenges for low-cost PM2.5 sensors in India include high-aerosol mass concentrations and pronounced regional and seasonal gradients in aerosol composition. Here, we report on a detailed long-time performance evaluation of a popular sensor, the Purple Air PA-II, at multiple sites in India. We established three distinct sites in India across land use categories and population density extremes (in urban Delhi and rural Hamirpur in north India and urban Bengaluru in south India), where we collocated the PA-II model with reference beta attenuation monitors. We evaluated the performance of uncalibrated sensor data, and then developed, optimized, and evaluated calibration models using a comprehensive feature selection process with a view to reproducibility in the Indian context. We assessed the seasonal and spatial transferability of sensor calibration schemes, which is especially important in India because of the paucity of reference instrumentation. Without calibration, the PA-II was moderately correlated with the reference signal (R2 = 0.55–0.74) but was inaccurate (NRMSE ≥ 40 %). Relative to uncalibrated data, parsimonious annual calibration models improved the PurpleAir (PA) model performance at all sites (cross-validated NRMSE 20 %–30 %; R2 = 0.82–0.95), and greatly reduced seasonal and diurnal biases. Because aerosol properties and meteorology vary regionally, the form of these long-term models differed among our sites, suggesting that local calibrations are desirable when possible. Using a moving-window calibration, we found that using seasonally specific information improves performance relative to a static annual calibration model, while a short-term calibration model generally does not transfer reliably to other seasons. Overall, we find that the PA-II model can provide reliable PM2.5 data with better than ±25 % precision and accuracy when paired with a rigorous calibration scheme that accounts for seasonality and local aerosol composition.
Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants
Authors: Hua Wenxuan , Lou Sijia , Huang Xin , Xue Lian , Ding Ke , Wang Zilin , Ding Aijun
Published: October 2023

Abstract. Biomass burning (BB) emission inventories are often used to understand the interactions of aerosols with weather and climate. However, large uncertainties exist among current BB inventories, so the choice of inventories can greatly affect model results. To quantify the differences among BB emission inventories and reveal their reasons, we compared carbon monoxide (CO) and organic carbon (OC) emissions from seven major BB regions globally from 2013 to 2016. The current inventories are based on two basic approaches: (1) bottom-up approach, which establishes inventories based on observed surface data, and (2) top-down approach, which based on the release rate of radiative energy from vegetation burning. In this study, we selected mainstream bottom-up inventories Fire INventory from NCAR 1.5 (FINN1.5) and Global Fire Emissions Database version 4s (GFED4s), and the top-down inventories Quick Fire Emissions Dataset 2.5 (QFED2.5) and VIIRS-based Fire Emission Inventory version 0 (VFEI0). We find that the total global CO emissions fluctuate between 252 and 336 Tg and the regional bias is even larger, which can be up to six times. Dry matter is responsible for most of the regional variation in CO emissions (50–80 %), with emission factors accounting for the remaining 20–50 %. Uncertainties in dry matter often come from biases in the calculation of bottom fuel consumption and burned area, which are closely related to vegetation classification methods and fire detection products. In the tropics, peatlands contribute more fuel loads and higher emission factors than grasslands. At high latitudes, as cloud fraction increases, the bias between burned area (or fire radiative power) increases by 20 %. In addition, due to the corrected emission factors in QFED2.5, global BB OC emissions have higher variability, fluctuating between 14.9 and 42.9 Tg. Finally, we applied the four sets of BB emission inventories to the Community Atmosphere Model version 6 (CAM6) and compared the model results with observations. Our results suggest that the simulations based on the GFED4s agree best with the MOPITT-retrieved CO. We also compared the simulation results with satellite or ground-based measurments, such as Moderate Resolution Imaging Spectroradiometer (MODIS) AOD and AErosol RObotic NETwork (AERONET) AOD. Our results reveal that there is no global optimal choice for the BB inventories, but we give certain inventory recommendations based on different study areas and spatiotemporal scales. This study has implications for reducing the uncertainties in emissions or improving BB emission inventories in further studies.
CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization
Authors: Kang Yanghui , Gaber Max , Bassiouni Maoya , Lu Xinchen , Keenan Trevor
Published: October 2023

Abstract. Gross primary productivity (GPP) is the largest carbon flux in the Earth system, playing a crucial role in removing atmospheric carbon dioxide and providing the sugars and starches needed for ecosystem metabolism. Despite the importance of GPP, however, existing estimates present significant uncertainties and discrepancies. A key issue is the underrepresentation of the CO2 fertilization effect, a major factor contributing to the increased terrestrial carbon sink over recent decades. This omission could potentially bias our understanding of ecosystem responses to climate change. Here, we introduce CEDAR-GPP, the first global upscaled GPP product that incorporates the direct CO2 fertilization effect on photosynthesis. Our product is comprised of monthly GPP estimates and their uncertainty at 0.05º resolution from 1982 to 2020, generated using a comprehensive set of eddy covariance measurements, multi-source satellite observations, climate variables, and machine learning models. Importantly, we used both theoretical and data-driven approaches to incorporate the direct CO2 effects. Our machine learning models effectively predicted monthly GPP (R2 ~ 0.74), the mean seasonal cycles (R2 ~ 0.79), and spatial variabilities (R2 ~ 0.67). Incorporation of the direct CO2 effects substantially improved the models’ ability to estimate long-term GPP trends across global flux sites. While the global patterns of annual mean GPP, seasonality, and interannual variability generally aligned with existing satellite-based products, CEDAR-GPP demonstrated higher long-term trends globally after incorporating CO2 fertilization, particularly in the tropics, reflecting a strong temperature control on direct CO2 effects. CEDAR-GPP offers a comprehensive representation of GPP temporal and spatial dynamics, providing valuable insights into ecosystem-climate interactions. The CEDAR-GPP product is available at https://doi.org/10.5281/zenodo.8212707 (Kang et al., 2023).
Subaerial and subglacial seismic characteristics of the largest measured jökulhlaup from the eastern Skaftá cauldron, Iceland
Authors: Eibl Eva P. S. , Vogfjörd Kristin S. , Ófeigsson Benedikt G. , Roberts Matthew J. , Bean Christopher J. , Jones Morgan T. , Bergsson Bergur H. , Heimann Sebastian , Dietrich Thoralf
Published: October 2023

Abstract. Subglacial floods cause seismic tremors that can be located and tracked in space and time using a seismic array. Here, we shed light on the generating mechanisms of the seismic signals observed during the largest measured flood from the eastern Skaftá cauldron in the Vatnajökull ice cap, Iceland. We track the propagation of the flood in 2015 using two seismic arrays and a local seismic network in combination with GPS, hydrological, and geochemical data. We find that as the water drained from the subglacial lake beneath the cauldron, families of icequakes were generated in the area around the cauldron, while the glacier surface gradually subsided by more than 100 m. We detected a several-hours-long, non-harmonic tremor and high-frequency transient events migrating downglacier, following the subglacial flood front. We suggest that this tremor is composed of repeating, closely spaced icequakes that were generated as the glacier was being lifted, cracked, and deformed, thus enabling the subglacial water flow. When the lake had largely drained, the pressure within the underlying hydrothermal system dropped. At this time, we recorded minute-long tremor bursts emanating from the cauldron area, followed by an hour-long harmonic tremor each. We interpret these as being caused by hydrothermal explosions in the geothermal system within the cauldron and as being vigorous boiling in the crustal rocks, respectively, which is an interpretation corroborated by floodwater geochemical signals. Finally, the flood also led to detectable tremor due to more energetic flow in the rapids near Sveinstindur in the Skaftá river. We conclude that the flood generated five different seismic signal types that can be associated with five different geophysical processes, including the wide spectrum from brittle failure and explosions to boiling and turbulent flow.
Comparing the Performance of Julia on CPUs versus GPUs and Julia-MPI versus Fortran-MPI: a case study with MPAS-Ocean (Version 7.1)
Authors: Bishnu Siddhartha , Strauss Robert R. , Petersen Mark R.
Published: October 2023

Abstract. Some programming languages are easy to develop at the cost of slow execution, while others are fast at runtime but much more difficult to write. Julia is a programming language that aims to be the best of both worlds – a development and production language at the same time. To test Julia's utility in scientific high-performance computing (HPC), we built an unstructured-mesh shallow water model in Julia and compared it against an established Fortran-MPI ocean model, the Model for Prediction Across Scales–Ocean (MPAS-Ocean), as well as a Python shallow water code. Three versions of the Julia shallow water code were created: for single-core CPU, graphics processing unit (GPU), and Message Passing Interface (MPI) CPU clusters. Comparing identical simulations revealed that our first version of the Julia model was 13 times faster than Python using NumPy, where both used an unthreaded single-core CPU. Further Julia optimizations, including static typing and removing implicit memory allocations, provided an additional 10–20× speed-up of the single-core CPU Julia model. The GPU-accelerated Julia code was almost identical in terms of performance to the MPI parallelized code on 64 processes, an unexpected result for such different architectures. Parallelized Julia-MPI performance was identical to Fortran-MPI MPAS-Ocean for low processor counts and ranges from 2× faster to 2× slower for higher processor counts. Our experience is that Julia development is fast and convenient for prototyping but that Julia requires further investment and expertise to be competitive with compiled codes. We provide advice on Julia code optimization for HPC systems.
Brief communication: Implications of outstanding solitons for the occurrence of rogue waves at two additional sites in the North Sea
Authors: Teutsch Ina , Weisse Ralf , Wahls Sander
Published: October 2023

Abstract. We investigate rogue waves in buoy and radar measurement data from shallow depths in the southern North Sea. We analyse the role of solitons for the occurrence of rogue waves by computing discrete soliton spectra using the nonlinear Fourier transform for the Korteweg-de Vries equation with vanishing boundary conditions. In a previous study, data from a single measurement site were considered. The comparison of soliton spectra from time series with and without rogue waves suggested a connection between the shape of the soliton spectrum and the occurrence of rogue waves. In this study, results for two additional sites are reported.
Programa educativo para el desarrollo de conocimientos en padres y cuidadores de niños con Trastorno del Espectro Autista mediante plataforma digital ConoceTEA
Authors: Guajardo Sáez Claudia Pamela , Rivera Durán Estefanía Paz , Figueroa Saavedra Carla Soledad , Alarcón Acuña Enzo Fabián
Published: October 2023

Los entrenamientos para padres corresponden a un tipo de abordaje terapéutico centrado en los modelos ecológicos donde los adultos tienen un rol activo en el manejo de sus hijos mediante la enseñanza de conocimientos, habilidades y estrategias para un mejor desempeño al interior del hogar.  Frente a esto, se propuso incrementar el conocimiento de padres y cuidadores de niños con TEA con respecto a distintos ámbitos del diagnóstico de sus hijos, a través de la implementación de un programa educativo de entrenamiento asistido por una plataforma digital ConoceTEA. La muestra se conformó por 22 padres de niños con TEA pertenecientes a escuelas especiales de la región de la Araucanía, los cuales fueron evaluados antes de la evaluación mediante un cuestionario diseñado y validado, para luego aplicar el programa educativo de entrenamiento y posterior evaluación al término del programa. Tras evaluar la normalidad de los datos, estos fueron descritos mediante el promedio y la D.S y comparados mediante la prueba T, aceptando la hipótesis con un valor de p<0.05. Con respecto al desempeño evidenciado en la evaluación fue posible observar un aumento en el puntaje de las preguntas del cuestionario, obteniendo una media 89.76; DS 11.99 en contraste con su evaluación inicial en donde se obtuvo una media de 57.71; DS 18.63, estas diferencias fueron estadísticamente significativas con un valor en la prueba T -7.26 y un p<0.001. El entrenamiento educativo para padres de niños con TEA asistido por uso de la plataforma digital ConoceTEA resultó efectivo para incrementar el conocimiento y abordaje del diagnóstico de sus hijos en el hogar.
Pneumonectomy for severe post-tuberculosis bronchiectasis: A successful of case report and review of the long-term outcome
Authors: Zulfa Putri O. , Habibie Yopie A.
Published: October 2023

Limited clinical intervention studies highlight the absence of evidence-based international guidelines for effectively managing post-tuberculosis lung disease, emphasizing bronchiectasis. The aim of this study was to describe a case of left pneumonectomy for severe post-tuberculosis cystic bronchiectasis and to provide a review of the post-surgical mortality rate, complications, survival rate, and the patient's quality of life following the pneumonectomy procedure. A 36-year-old Indonesian male smoker presented with worsening breathing difficulties and fever. The patient had a history of pulmonary tuberculosis six years ago and reported negative tuberculosis tests after completing TB treatment. However, lung function of the patient progressively declined over the years. Bronchoscopy, chest X-ray, and high-resolution computerized tomography (CT) scan revealed infected cystic bronchiectasis and identified a prominent left lung collapse with calcification in the left pleura. The patient underwent left pneumonectomy through left posterolateral thoracotomy under general anesthesia. The patient was discharged after seven post-operative days with no eventful course. No further complications were found after a one-year post-surgery follow-up, and the patient returned to normal activities, improved fitness, and was fitter in daily life. Based on the literature review, post-surgical mortality rates of pneumonectomy are acceptable, with bronchopleural fistula, cardiac arrest, and thoracic hemorrhage being common causes. Yet, the chances of a complete cure are high. Complications can occur in approximately one-third of patients, including arrhythmia, pulmonary infection, fever, and wound infections. The overall 5-year survival rate following pneumonectomy is generally favorable. Regarding the quality of life, pneumonectomy can have mixed effects. While it could improve symptoms and quality of life, it may impair the quality of life for certain patients, particularly elderly patients and those with lower preoperative quality of life. Although the post-surgical mortality rate, complications, and long-term survival rates of pneumonectomy are generally satisfactory, the expectation of improved post-surgical quality of life should be discussed with the patient prior to surgery.
PRODUCTIVITY OF DAIRY COWS DEPENDING ON THE CONDITIONS OF MAINTNANCE
Authors:   Vitebsk State Academy of Veterinary Medicine, Rubinа M.V. , Schebetok I.V. ,   Vitebsk State Academy of Veterinary Medicine
Published: October 2023

The article presents the influence of microclimate parameters on the productivity of dairy cows. Keeping cows in a loose-box way with a better microclimate turned out to be more effective than keeping them in a tethered way. The temperature and relative humidity in this premise during the cold season were normal or closer to normal. In comfortable conditions, milk yield per cow was 6.4% higher and amounted to 23.8 kg against 21.8 kg.
MORPHOBIOCHEMICAL STATUS OF LACTATING COWS IN THE DYNAMICS OF DEVELOPMENT OF SUBCLINICAL MASTITIS
Authors:   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Pavlenko O.B. , Zimnikov V.I. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Chusova G.G. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Tyurina E.V. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Peregonchiy A.R. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy
Published: October 2023

In the article the biochemical and morphological blood indicators of lactating cows in the dynamics of the development of subclinical mastitis are discussed. The features of the manifestation of immune reactions of the body of cows during the development of the inflammatory process in the mammary gland were studied. It has been proven that significant changes occur in the homeostasis of sick animals, characterized by the occurrence of a strong inflammatory reaction, against the background of activation of lipid peroxidation processes and an increase in endogenous intoxication.
Multimedia Pembelajaran Interaktif dengan Uji Efektivitas Pelajaran Media dan Jaringan Telekomunikasi Berbasis Android Untuk Kelas X SMK
Authors: Dewi Jenita
Published: October 2023

Pembelajaran abad 21 memang lebih mementingkan softskill dibandingkan dengan hardskill, dimana siswa dituntut untuk siap baik secara mental dan pengetahuan dalam menghadapi situasi apapun dalam kehidupan yang akan terus berkembang. Selain itu kurikulum yang dikembangkan saat ini menuntut siswa untuk aktif dan mandiri. Penelitian ini bertujuan untuk: (1) menghasilkan media pembelajaran interaktif media dan jaringan telekomunikasi berbasis android, (2) menguji tingkat kelayakan media pembelajaran interaktif media dan jaringan telokomunikasi berbasis android menurut ahli media,ahli materi,dan pengguna,(3) mengetahui efektivitas media pembelajaran interaktif  media dan jaringan telekomunikasi berbasis android. Penelitian ini mengunakan metode R&D dengan model penelitian ADDIE. Hasil Penelitian ini adalah aplikasi media pembelajaran interaktif basis android media dan jaringan telekomunikasi kelas X. Berdasarkan pengujian media Pembelajaran interaktif ini dieroleh skor Presentase 92,55% dari ahli media, 85% dari ahli materi, dan 87,43% dari siswa dengan kategori Sangat Layak ada ketiga validator. Berdasarkan uji efektifitas memeroleh skor Presentase 61% dengan kategori Cukup Efektif. Berdasarkan Pengujian media pembelajaran interaktif tersebut dapat dikatakan sangat layak dan cukup efektif digunakan sebagai media bantu Pembelajaran dalam meningkatkan hasil belajar.
Implementasi Augmented Reality Dalam Melakukan Display Produk Device Pada Marketplace Menggunakan Android
Authors: Lastian Albert , Tampinongkol Felliks Feiters
Published: October 2023

Augmented Reality (AR) telah menjadi teknologi yang semakin populer dalam konteks pemasaran produk. Marketplace saat ini belum memiliki display produk yang ditampilkan untuk customer, dimana marketplace hanya menyediakan gambar produk yang tidak dapat diinteraksi oleh customer interaktif. Penelitian ini bertujuan untuk mengembangkan solusi AR yang memungkinkan pengguna melihat display produk device secara interaktif dan realistis serta memberikan informasi device yang ingin dibeli customer melalui perangkat mobile. Berdasarkan hasil pertanyaan customer marketplace, penggunaan Augmented Reality sangat dibutuhkan pada marketplace. Penelitian ini menggunakan metode pengembangan perangkat lunak Multimedia Development Life Cycle (MDLC) dan pengembangan Augmented Reality dengan metode Marker Based Tracking. Berdasarkan hasil uji coba black box testing disimpulkan bahwa fitur – fitur yang tersedia pada aplikasi berjalan dengan baik sehingga customer marketplace dapat menggunakan aplikasi ini untuk melihat display produk secara 3D. aplikasi ini juga dapat memberikan informasi mengenai produk device yang akan dibeli sehingga customer dapat mengetahui informasi seputar spesifikasi atau kegunaan dari device tersebut sebelum dibeli oleh customer.
НЕСИЕЛЕУ МАҚСАТЫНДА КОММЕРЦИЯЛЫҚ ЖЫЛЖЫМАЙТЫН МҮЛІКТІ БАҒАЛАУДЫ ЖЕТІЛДІРУ
Authors: СИХИМБАЕВ М. , ПАВЛОВА О.
Published: October 2023

В данной статье рассматриваются варианты совершенствования расчета стоимости коммерческой недвижимости путем получения обоснованной, адекватной стоимости для реализации ее в сжатый срок на рынке.

Бұл мақалада бағалау қызметінің теориялық жағынан коммерциялық жылжымайтын мүлік құнын есептеуді жетілдіру нұсқалары қарастырылады.

This article discusses options for improving the calculation of the cost of commercial real estate from the theoretical side of valuation activities.
An Overview on Emulgel
Authors: Chandel Ashima , Kumari Neha , Gupta Rajesh , Nazir Aamir , Honey Honey , Varghese Abi C.
Published: October 2023

The goal of the study was to create an emulgel utilising a gelling ingredient. The phrase "emulgel" refers to a mixture of gel and emulsion. Emulgel is a promising hydrophobic drug delivery method. The emulsion was made and then added to the gel base. Rheological tests, spreading coefficient tests, bioadhesion strength tests, skin irritation tests, in vitro release tests, ex vivo release tests, anti-inflammatory activity tests, and analgesic activity tests were all performed on the formulations. As a result, it may be stated that topical emulgel has anti-inflammatory and analgesic properties.
Effect of Oleo-gum-resin of Boswellia serrata Roxb. (Kundur) on Cadmium Chloride Induced Renal Toxicity in Albino rats
Authors: Alam Mahe , Javed K. , Jafri MA
Published: October 2023

Kundur (oleo-gum-resin of Boswellia serrata Roxb.) is an ingredient in certain Unani formulations used in kidney disorders. Cadmium is potentially a severe nephrotoxin, because cadmium has a biologic half life of more than 30 years. In the present study the effects of Kundur and its methanol soluble (MS) and methanol insoluble (MINS) fractions were investigated on Cadmium chloride induced nephrotoxicity in Albino rats. The animals of group I and II were administered with 1% CMC (1000mgl/kg, p.o.) and the animals of groups III, IV and V were administered with Kundur (1000mg/kg, p.o.), MS (650mg/kg, p.o.) and MINS (350mg/kg, p.o.) respectively for eight days. Animals in group II, III, IV and V were co-administered Cadmium chloride (3mg/kg/bodyweight) from the fourth day to the end of study (eight day). On the 9th day (after 24h s.c. ingestion) blood samples were withdrawal, blood samples centrifuged and serum was separated to measure the concentration of blood urea nitrogen (BUN) and serum creatinine. Albino rats fed with Kundur and MI fraction showed a significant prevention in the rise of serum markers while MS failed to prevent the rise of these serum makers. These results suggest that Kundur (Boswellia serrata Roxb.) and MINS fraction may have potential to reduce the nephrotoxicity in Albino rats.
Artificial Intelligence in Healthcare- An Overview
Authors: Sigatapu Lakshmidevi , Sundar S. , Padmalatha K. , K Sravya. , Ooha D. , Devi P. Uha
Published: October 2023

Artificial intelligence (AI) has been developing fleetly in recent times in terms of software algorithms, tackle preparation, and operations in a vast number of areas. In this review, we epitomize the rearmost of operations of AI in biomedicine, including complaint diagnostics, living backing, biomedical information processing, and biomedical exploration. The end of this review is to keep track of new scientific accomplishments, to understand the vacuity of technologies, to appreciate the tremendous eventuality of AI in biomedicine, and to give experimenters in affiliated field’s alleviation. It can be asserted that, just like AI itself, the operation of AI in biomedicine is still in its early stage. New progress and improvements will continue to push the frontier and widen the compass of AI operations, and fast developments are envisaged in the near future.AI in healthcare is an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. In the simplest sense, AI is when computers and other machines mimic human cognition, and are capable of learning, thinking, and making decisions or taking actions. Artificial intelligence (AI) is gradationally changing medical practice. With recent progress in digitized data accession, machine literacy and computing structure, AI operations are expanding into areas that were preliminary allowed to be only the fiefdom of mortal experts. In this Review composition, we outline recent breakthroughs in AI technologies and their biomedical applications, identify the challenges for further progress in medical AI systems, and epitomize the profitable, legal and counteraccusations of AI in healthcare.
ANALYSIS STAGES OF LINGUISTIC EXAMINATION OF POLITICAL TEXTS
Authors:   Uzbek language  of Tashkent State Uzbek Language University named after Alisher Navoi, Solieva Nargiza
Published: October 2023

Recently, the number of conflicting texts, correspondence, and information on social and political security has been increasing on social networks. This creates the need to determine the principles of examination of political texts, the criteria of analysis. There is a need for linguistic knowledge in determining the pragmatic content of messages transmitted from social networks, correct assessment, and forming expert conclusions. There is an increasing demand for the application of linguistic knowledge in practice and the use of forensic expertise. The article discusses political texts related to social and political security and the analysis stages of their expert examination, expert tasks and approaches in the analysis, expert analysis of manuscripts, social network messages. process and stages are discussed
ETHNO-CULTURAL CHARACTERISTICS OF EUPHEMISMS AND DYSPHEMISMS IN TRANSLATION
Authors:   Uzbek language  of Tashkent State Uzbek Language University named after Alisher Navoi, Kadirova Khurshida
Published: October 2023

This article is devoted to the phenomena of exchange of euphemistic and dysphemic units in the process of literary translation on the example of the Uzbek and Russian languages, which analyzes some of the causes of these problems. In it, euphemisms and dysphemisms occupy places on both sides of the synonymous row, and their place on the axis of the positive and negative poles is illustrated by examples. It is also argued that synonymous euphemisms have a hierarchy in their composition and that euphemistic units that were previously tabooed have turned into dysphemisms. The author emphasizes the importance of the skill of a translator who understands the mental culture and tries to preserve the spirit of the source language in the target language.
Hybrid Machine Learning Technique to Detect Active Botnet Attacks for Network Security and Privacy
Authors: C Venkatesan , T Thamaraimanalan , D Balamurugan , J Gowrishankar , R Manjunath , A Sivaramakrishnan
Published: October 2023

A botnet is a malware application controlled from a distance by a programmer with the assistance of a botmaster.
Botnets can launch enormous cyber-attacks like Denial-of-Service (DOS), phishing, spam, data stealing, and identity theft.
The botnet can also affect the security and privacy of the systems. The conventional approach to detecting botnets is made
by signature-based analysis, which cannot discover botnets that are not visible. The behavior-based analysis appears to be
an appropriate solution to the current botnet characteristics that are constantly developing. This paper aims to develop an
efficient botnet detection algorithm using machine learning with traffic reduction to increase accuracy. Based on
behavioural analysis, a traffic reduction strategy is applied to reduce network traffic to improve overall system performance.
Several network devices are typically used to retrieve network traffic information. With a detection accuracy of 98.4%, the
known and unknown botnet activities are measured using the supplied datasets. The machine learning-based traffic
reduction system has achieved a high rate of traffic reduction, about 82%, and false-positive rates range between 0% to
2%. Both findings demonstrate that the suggested technique is efficient and accurate.
An in Depth Analysis of Blockchain Technology, and its Potential Industrial Applications
Authors: Lee Yangsun
Published: October 2023

The emergence of blockchain technology represents a significant advancement in the field of computer science.
Blockchain, an innovative technology that functions as a decentralized and publicly accessible record of all financial
transactions, has significantly transformed the manner in which commercial activities are conducted. Companies and large-
scale technology corporations have started substantial investments in the blockchain industry, a sector that experts forecast
will exceed a valuation of $3 trillion during the next five-year period. The surge in its popularity may be ascribed to its
robust security measures and comprehensive resolution for all issues pertaining to digital identity. The system in question
is a decentralized digital ledger. A blockchain refers to an immutable and decentralized ledger composed of blocks, which
function as collections of entries. The interconnection among these blocks is secured using encryption. The blockchain
technology is captivating due to its inherent qualities, and it has significant potential in several domains owing to its desired
attributes such as decentralization, transparency, and irreversibility. While blockchain technology is now most prominently
associated with cryptocurrency, it has a diverse array of potential applications. This article aims to explore the many
applications of blockchain in the domains of voting mechanisms, Internet of Things (IoT), supply chains, and identity
management.
LOW CALORIE ARTIFICIAL SWEETENERS AS AN ALTERNATIVE IN PHARMACEUTICAL DOSAGE FORM DESIGN
Authors:   Department of pharmacy, Shakuntala Devi College of pharmacy, Kakyoli, Nawabganj, Farrukhabad– 209 501, Uttar Pradesh, India, Gupta Pravin , Kumar Manish
Published: October 2023

Tremendous research is going on in the field of preparing low calorie diet for diabetes, obesity, hyper-tension, and heart disease, providing potential area for growth to the food and pharmaceutical industry. Dosage forms prepared for diabetic patients lack sucrose as breakdowns into glucose and fructose which starts from the mouth itself and majority of it is digested in the small intestine. As soon as it is digested, it gives rise to blood glucose level. In order to control such glucose spikes in blood, their diet is immediately shifted toward low calorie food and medications with low glycemic index. Artificial intense sweeteners e.g. acesulfame potassium, sucralose, xylitol etc. in moderate amount, intensity of sweet-ness and physical characteristics were proved safe by USFDA. this review covers a brief description, stability conditions and pharmacokinetic analysis of artificial sugars.
Which older people in the community have the highest clinical-functional vulnerability?
Authors: Alves Aline Martins , Andrade Nathália de Oliveira , Facina Maria Eduarda Leite , Melo Beatriz Rodrigues de Souza , Gratão Aline Cristina Martins , Martins Tatiana Carvalho Reis , Luchesi Bruna Moretti
Published: October 2023

OBJECTIVE: To identify the factors related to clinical-functional vulnerability in older people. METHODS: This cross-sectional quantitative study was conducted in 2018/2019 with 492 older adults registered in Family Health Strategy units in the city of Três Lagoas, MS, Brazil. Sociodemographic data were collected and the Clinical-Functional Vulnerability Index (CFVI-20) was applied (possible score 0-40; higher scores indicate greater vulnerability). A multinomial logistic regression was performed to identify the risk factors for clinical-functional vulnerability. RESULTS: The sample’s mean age was 70.80 years (SD, 7.82) and the mean CFVI-20 score was 9.25 (SD, 7.09), with 17.07% at high risk of clinical-functional vulnerability, 38.82% at moderate risk, and 44.11% at low risk. Low education, social isolation, difficulty sleeping, and being female were risk factors for moderate vulnerability. On the other hand, low education, social isolation, difficulty sleeping, physical inactivity, being female, not using alcohol, and not participating in social groups were risk factors for high vulnerability. CONCLUSIONS: The CFVI-20 is convenient for primary health care contexts, since it is fast and easy to apply. By recognizing factors related to vulnerability, specific preventive actions can be planned.
Feasibility Analysis of Importing PHA instead of PE in Singapore
Authors: Liu Shuyan , Luo Jiahao , Song Qiaoyu , Qiao Ronglin , Wang Xiaoyu , Li Yuanzhe
Published: October 2023

This article presents a comprehensive examination of Singapore's thriving service and transportation sectors, with a particular focus on the increasing demand for packaging and disposable goods. The subsequent heavy reliance on polyethylene (PE) is emphasized. Subsequently, the article delves into the ecological consequences associated with the widespread use of PE in Singapore. This encompasses considerations such as ecological space occupancy, plastic pollution, and greenhouse gas emissions. In response to these pressing challenges, the article suggests practical solutions. With a strong emphasis on environmental concerns, the article promotes the adoption of polyhydroxyalkanoates (PHA) as a feasible and eco-friendly alternative to the environmentally detrimental PE. This proposal is juxtaposed with a comprehensive comparative analysis of other renewable materials like polylactic acid (PLA) and PHA, critically evaluating their innovative potential and inherent limitations. To ensure the successful implementation of the proposed solutions, the article presents a diverse range of resource management strategies. Additionally, the article outlines a clear pathway for transitioning and upgrading Singapore's existing polyethylene products. It offers well-founded explanations and recommendations for advancing industries while comparing the feasibility, financial aspects, transformation challenges, and strategies between the LDPE and PHA sectors. The article culminates in a meticulous simulation that calculates the financial requirements for a complete shift from PE to PHA in Singapore by 2021, along with the subsequent cost implications for the packaging industry. These rigorous analyses and calculations provide precise quantitative guidance, aiding policymakers, entrepreneurs, and decision-makers in making well-informed decisions for transformative initiatives.
Surface Defect Detection of Strip Steel Based on YOLOv5
Authors: Wang Dewei , Liu Xiaofang
Published: October 2023

Given the various kinds of surface defects and the lack of obvious features, which lead to detection error and leakage detection, a method of strip surface defects detection with a decoupling head, YOLOv5s, is proposed. Firstly, the K-means + + method was utilized to relocate the anchor frames to produce an optimised coupling between the transcendental and the real frame. SimAM's attention free mechanism was incorporated into the Neck network to improve the performance of the model. Finally, the head of the network is replaced by the decoupling head, which separates classified tasks from regressive tasks, thus enhancing convergence and recognition accuracy. The results indicate that the average precision of the proposed algorithm is 80.7% on the NEU-DET dataset, an increase of 3.2% compared to YOLOv5s, and a transfer frame number of FPS of 50 per second, which balanced detection accuracy and operational efficiency. The increased accuracy of detection as compared to other techniques meets the requirements of precision and timeliness.
Study on Single-phase Ground Fault Localisation in Distribution Networks Based on Transient Travelling Waves
Authors: Maihemutijiang Maiheliya
Published: October 2023

China's low and medium voltage distribution networks are mostly grounded by small currents, and single-phase grounding faults are frequent and their fault characteristics are weak, so that the traditional fault localization schemes may fail. In order to effectively solve the problem of single-phase grounding fault localization in distribution networks, the traveling wave localization technology is applied in distribution networks, which is expected to realize fast and accurate fault localization in distribution networks. Firstly, the paper analyzes the characteristics of traveling wave signals in distribution networks and those in transmission networks, and proves the feasibility of the traveling wave localization method applied to distribution networks. Secondly, the transient electrical quantities after a single-phase ground fault occurs in the distribution network are characterized, and it is concluded that in the fault transient process, nonlinear and nonsmooth signals appear in the faulted and non-faulted lines, and effective information is extracted for fault localization using the traveling wave method. Finally, in the case of abnormal traveling wave data during fault localization, single-end localization is carried out using the initial wave head arrival moment and reflection wave arrival moment of the traveling wave signal of the side branch to ensure accurate localization, and simulation verification is carried out using PSCAD/EMPDC.
Human and Planetary Health. The urgency to integrate into One Health
Authors: van Laarhoven Kees
Published: October 2023

In his professional journey, travelling through an upcoming field of surgery with apparently unlimited possibilities, Kees van Laarhoven witnessed major milestones and breakthroughs. Already as a medical student, he was amazed by surgical courage. During residency, he experienced hard work, diligence and perseverance of surgical professionals. Today as a surgeon with over 25 years of clinical experience he now looks at pieces of art in surgery with professionals compassionately bringing hope to patients. But he also sees inconvenient truths in our healthcare system, with patients evolving from one predictable and preventable disease to the next and with professionals following disease trends rather than applying their knowledge to redirect disease into health. The modern disease-oriented care system becomes undesirable and unsustainable. And there are more inconvenient truths that have progressed rather than diminished in time. Healthcare is not easily accessible to the major half of the global population and for those who have access, with a growing global population, healthcare may become unaffordable in the future. Moreover, from an environmental perspective, both human and planetary health are compromised and ask for a ‘One Health’ approach. Being fascinated by the questions of how and why did this all happen, Kees van Laarhoven took up a scientific survey to comprehend and learn how things still can be changed. He found that clear solutions are there! Please join him on his journey.