bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of melt pond and floe size on the optical properties of Arctic sea ice
Authors: Zhang Hang , Yu Miao , Lu Peng , Zhou Jiaru , Wang Qingkai , Li Zhijun
Published: August 2023

Abstract. Melt ponds are usually modelled as horizontally infinite water layer overlaying on level ice. Then the albedo of summer Arctic sea ice can be determined by a linear combination of melt pond and bare ice albedo weighted by their areal coverage. However, this simulation does not reflect actual reality, in which ponds always have a limited size. In the present study, a Monte Carlo (MC) model was employed to investigate the influence of melt pond and floe size on the apparent optical properties of summer sea ice. The results showed that albedo and bottom transmittance mainly depended on the melt pond fraction (MPF) and ice thickness, respectively. The radiation absorbed by pond water depended on both pond depth and MPF. The radiation absorbed by ice depended on both pond depth and ice thickness. Two new parameters, the ratio of albedo (Kα) and transmittance (KT) of the linear combination to the MC model, are proposed to present the accuracy of the linear combination. For small-sized floe, Kα and KT decreased from 1.33 to 1.02 and from 3.96 to 1.05, respectively, as floe size increased from 2 to 40 m with an MPF of 50 %. Kα increased from 1.10 to 2.00 as MPF increased from 0 to 100 % with a floe size of 2 m. Solar radiation is more likely to penetrating into the lateral ocean in small floes than in large floes, and the small MPF, which has a high albedo, prevents solar energy from entering the floe. To reduce these uncertainties, new parameterization formulas for Kα and KT at different latitudes and different melting stages are provided. In the marginal ice zone, the average Kα and KT are about 1.03 and 1.12, respectively. During the melting season, the difference of Kα for MC model and linear combination could reach up to 34 % with the ice size 2 m for first-year ice. The results of this study can be used in future research to correct in situ data obtained via linear combination for floe sizes smaller than 20 m.
Recognition and Semantic Information Extraction for Map Based on Deep Learning
Authors: Wang Yong , Du Kaixuan , Che Xianghong , Ma Ruiyuan , Ren Fu
Published: August 2023

Abstract. Geospatial information contained in maps plays an important role in geographic information data acquisition, map understanding, intelligent mapping and other applications. In terms of map recognition and geospatial information extraction from maps, traditional methods that heavily rely on human or human-computer interaction for semantic recognition can no longer meet the real-time needs. In this paper, we first analysed the composition and characteristics of maps, and then systematically illustrated the semantic understanding methods of map image recognition, target detection of geographic features and semantic segmentation of geographic features based on deep learning architecture, which is crucial to intelligent map recognition and mapping.
Predictive Understanding of Socioeconomic Flood Impact in Data-Scarce Regions Based on Channel Properties and Storm Characteristics: Application in High Mountain Asia (HMA)
Authors: Khanam Mariam , Sofia Giulia , Rodriguez Wilmalis , Nikolopoulos Efthymios I. , Lu Binghao , Song Dongjin , Anagnostou Emmanouil N.
Published: August 2023

Abstract. The exposure of High Mountain Asia (HMA) to disaster risks is heightened by extreme weather conditions and the impacts of climate change. Obtaining knowledge about the long-term response of the landscape to hydroclimatic variations in HMA is paramount, as millions of people are affected by these changes every year. During monsoons, substantial human suffering, and damage to crops and infrastructure in populated communities result from the flooding and debris flow caused by the increase in precipitation extremes each year. Although a few initiatives have undertaken the estimation of flood risk locally, the use of traditional techniques in ungauged basins is, unfortunately, not always possible because of the lack of extensive data required. To address this problem, we present in this study a geomorphologically guided machine learning (ML) approach for mapping flood impacts across HMA. We defined socioeconomic flood impact using the Lifeyears Index (LYI), a systematic index that measures the economic cost and loss of life caused by flooding. This index quantifies the importance of the destruction to infrastructure, capital, and housing in an overall assessment. We trained the proposed model with over 6000 flood events, from 1980 to 2020, and their computed five-year and ten-year LYIs. We used as predictors, (1) the five-year rainfall concentrations (which correlate the magnitude of precipitation events with the time of occurrence) of events retrieved from ERA5 daily data; (2) a geomorphic classifier (flood geomorphic potential) based on hydraulic scaling functions automatically derived from an 8 and 30-meter digital elevation model (DEM) for the region and (3) population. This model proved capable of identifying the hotspots of flood susceptibility on a national scale and showing its variability from 1980 to 2022. The study also highlights the severity of the impacts of hydroclimatic extremes in the entire HMA region. The framework is generic and can be used to derive a wide variety of flood vulnerability and subsequent risk maps in data-scarce regions.
IMPLEMENTASI PRIVATE CLOUD COMPUTING MENGGUNAKAN LXC CONTAINER PADA LAB IT INFRASTRUKTUR UMMU
Authors: Ikmal Irawati , Gunawan Erwin , Muhammad Abdul Haris
Published: August 2023

Sebagai teknologi virtualisasi yang baru, banyak hal yang perlu digali tentang teknologi container. Penelitian ini bertujuan untuk  mengukur kehandalan dari Network Function Virtualization (NFV) yang akan dibangun dan dijalankan diatas LXC Container  menggunakan Linux Ubuntu dan dapat terhubung dengan jaringan yang real. Penelitian ini bertujuan untuk mengetahui performansi LXC Container ketika dijalankan. Pada penelitian ini dilakukan untuk mengetahui performa dari LXC Continer dengan menggunakan 5 laptop pada linux Ubuntu di Laboratorium Infrastruktur Teknologi Informasi Universitas Muhammadiyah Maluku Utara menggunakan layanan IaaS (Infrastructur as a service). Pada pengujian ini dilakukan tes Update untuk mengetahui berapa besar CPU dan RAM yang terpakai. Pengujian tersebut menggunakan jaringan lokal yang ada di Laboratorium Infrastruktur Teknologi Informasi yang terhubung ke internet dan hanya melakukan komunikasi antara server dan client. Setelah melakukan pengujian, dapat diketahui bahwa CPU yang terpakai adalah sebesar 3,26% dan RAM yang terpakai adalah 26,37% dari prosess berjalannya 5 unit Ubuntu berbasis Container yang diakses secara bersamaan dengan menggunakan 5 laptop.
Sistem Pakar Metode Certanty Factors Untuk Kerusakan Mesin Caterpilar Berbasisw Website
Authors: Malahika Muhammad Haris , Hamza Sahriar , Ibrahim Adelina
Published: August 2023

Didalam penelitian ini penulis mencoba membuat aplikasi Sistem pakar untuk mendeteksi kerusakan Mesin caterpillar atau biasanya di singkat CAT yang banyak di gunakan oleh perusahan perusahan berskala besar maupun kecil dalam mendukung opersional perusahan, mesin caterpilar adalah sebuah mesin yang di produksi oleh perusahan besar asal Amerika, yang memproduksi, dan memasarkan, mesin tersebut di seluruh dunia melalui jaringan waralabanya yang ada disetiap negara. Perusahaan ini merupakan produsen peralatan konstruksi terbesar di dunia. Penggunaan mesin caterpilar di berbagai macam instasi pemerintah maupun swasta berdapat baik dalam mendorong kegiatan ekonomi di suatau daerah. Mesin caterpilar juga membutuhkan perawatan dan pergantian apabila penggunaannya sudah melebihi waktu penggunaannya. Untuk kerusakan mesin perusahan caterpilar telah membuka kantor layanan service dan pemelihraannya yang ada di seluruh indonesia. Berkaitan dengan keterbatannya sumber daya manusia dalam melayani selaga kerusakan yang sering di alami maka penulis melakukan mencaoba melakukan sebuah penelitian dengan memanfaatkan sistem informasi yang berbasis website dalam meminimalkan kerusakan mesin dengan memanfaatkan aplikasi deteksi kerusakan mesin caterpilar berbasis website. Dari aplikasi ini diharapkan apabila para konsumen pengguna mesin caterpilar yang mengalamu gangguan atau masalah kerusakan mereka bisa memanfaatkan apliksi tersebut untuk bisa menyelesaikan masalah-masalah pada mesin tersebut, tanpa harus menunggu tim teknisi dari kantor yang memakan waktu lama dalam proses perbaikan.
Variación versus permanencia en 46 años de léxico hipológico
Authors: Groba Bouza Fernando
Published: August 2023

Este artículo tiene, como objetivo principal, analizar el cambio lingüístico a nivel social y geográfico en el gallego oral de 71 unidades denominativas que pertenecen a tres subáreas temáticas del ámbito de la hipología: denominación de equinos, partes del cuerpo y acciones vitales. Para eso, agrupa y contrasta la información dialectal, el número de registros y los porcentajes de frecuencia de uso de diferentes denominaciones que comparte la tesis doctoral O léxico da hipoloxía no galego oral y la base de datos que sirvió como fuente de información para su realización con dos obras elaboradas en dos momentos anteriores: el Glosario de voces galegas de hoxe y el Atlas lingüístico galego. Se trata de tres estudios que aportan, en su conjunto, información lexicológica geolingüística sobre una red que posee un total de 319 puntos geográficos distintos en una franja temporal que abarca casi medio siglo. En el resultado, a pesar de las diferencias que presentan per se las tres obras en cuanto al tipo de autoría, fuentes, objetivos, ámbito y campo de estudio, queda demostrada la versatilidad y el inmenso valor de sus datos para valorar y observar como aumentan, disminuyen o mantienen todas y cada una de las denominaciones que tienen en común. Palabras clave: cultura; lenguas romances; dialectos; vocabulario; cambio lingüístico;
Galaicofobia y propaganda: Galicia y los gallegos en las crónicas al servicio de los Reyes Católicos
Authors: Peres Vigo Alexandre
Published: August 2023

Si desde la primera mitad del siglo XV el cargo de cronista adquirió una creciente relevancia en la corte castellana, será durante el reinado de los Reyes Católicos cuando la producción cronística emerja con fuerza como uno de los principales pilares ideológicos y propagandísticos al servicio de los monarcas. Los cronistas, en tanto que encargados de hacer llegar un relato oficial y apologético del reinado, fueron los encargados de elaborar todo un corpus literario destinado a glorificar la memoria regia, así como a sustentar la propia legitimidad de Isabel I, como también el propio proyecto político autoritario llevado a cabo por la pareja real. En el presente artículo se analiza el discurso propagandístico presente en las crónicas regias y utilizado para narrar las acciones político-bélicas emprendidas por los Reyes Católicos en el reino de Galicia, así como los indicios de una galaicofobia emergente, con la instrumentalización de la imagen tópica del reino y del estereotipo antigallego como medio de justificación de estas.
Adaptación de neologismos al gallego: análisis de casos
Authors: Freire Armada Vanesa
Published: August 2023

Esta investigación tiene por objeto analizar y valorar la adecuación de cuatro neologismos adaptados –tablet, croissant, tweet y covid-19– o en proceso de adaptación a la lengua gallega así como comprobar la veracidad de la hipótesis: para que una variante denominativa cuaje entre los/as usuarios/as de una lengua, es necesario que estea respaldada por una autoridad lingüística. El método de análisis utilizado en este trabajo consiste en proporcionar contexto sobre el término analizado, buscar documentacion sobre el mismo en bases de datos y corpus, presentar graficamente los resultados obtenidos empleando tablas, comprobar el carácter normativo de las propuestas y evaluar su adaptación tanto al uso real como a la grafía y fonética gallegas. La conclusión principal es que la norma no puede ser estática sino que tiene que adecuarse a las necesidades de los usuarios/as de la lengua.
Emitters and Filters Performance under Treated Sewage Water Reuse with Drip Irrigation
Authors: A. R. Mhaske
Published: August 2023

An experiment was carried out under open field conditions on black cotton soil at Agriculture College, Nagpur to study the performance of different types of emitters and filters while using irrigation water of different qualities for different periods of operation. Eight treatments comprising of irrigation water quality as main treatment [domestic treated sewage water (DTSW) from a phytorid sewage treatment plant and deep open well water (WW)], sub-treatments comprising of emitter type (inline and online) and time of operation (60 h and 120 h) of drip system were planned. Gravel filter, followed by disk filter, was used to filter water of different quality. Partial clogging percentage of gravel filter was higher in case of DTSW. Emission uniformity coefficient decreased rapidly in DTSW compared to WW. Mean discharge reduction percentage was 13.23 % in gravel filter, and 18.72 % in disk filter. Emitter’s emission uniformity percentage in WW was better than in DTSW. The manual operation time (i.e. time interval between two consecutive maintenance events) for disk filter was shorter than gravel filter in both treatments. Domestic treated sewage water could be used for crop production with proper maintenance of filter, lateral and emitters.
Puffing Characteristics of Preconditioned Pressure Parboiled Brown (Unpolished) Rice in Microwave Oven and Optimization of Process Parameters
Authors: Ajay Kumar Swarnakar  , P. P. Srivastav  , S. K. Das
Published: August 2023

Puffed rice is prepared in India by roasting of parboiled preconditioned polished rice in hot sand bed. Polishing of rice takes time, decreases the head rice yield, nutrition, and increase the cost. Other methods used for rice puffing as hot air puffing, gun puffing are costly, and produce bulk quantity of puffed rice. Bulk production adds transportation and storage cost, and also increase the chances of sogginess. Microwave puffing of brown rice was attempted to provide an option for nutritious, and hygienic puffed rice. Full factorial design was chosen for experiment with three levels of microwave power (800, 900 and 1000 W), and four levels (20, 25, 30 and 35 s) of heating time. It was observed that microwave power and heating time had significant effect on quality (puffing percentage, expansion ratio, whiteness index, hardness) characteristics. Optimized conditions were found at 900 W microwave power for 35 s of heating for puffing of preconditioned brown rice in microwave oven. Puffing percentage, expansion ratio, whiteness index and hardness of microwave puffed brown rice at optimum conditions were 57.44%, 5.34, 58.31 and 11.28 N, respectively.
A Systematic Assessment of Paddy Losses at Various Stages from Harvest to Storage in the State of Goa
Authors: Mathala Juliet Gupta  , R. Marutha Durai  , Saloni S. Vanjari  , Sumati Chavan Pandurang  , Ashish M. Pitre
Published: August 2023

Paddy, the main field crop of Goa, is not profitable due to small and fragmented landholdings, inaccessible fields, lack of farm work force and mechanization. A study was conducted to assess the post-harvest practices and losses of paddy in Goa using the methodology developed by AICRP-PHT, ICAR to estimate losses by enquiry and actual observation methods. The study indicated that traditional methods of manual harvesting, threshing, winnowing, sun-drying on road side, parboiling in brass pots and storage in woven polybags with Vitex negundo (lingur leaves) or neem leaves for unprocessed paddy and boric powder for milled rice, were practiced in the state during 2011-13 with a slight shift towards mechanization during 2013-15. Most of the rice mills in Goa needed modernization and product diversification. Data indicated total losses of 19.26±14.63 % and 11.31±12.09 % by enquiry, and 5.92±2.62 % and 9.04±9.74 % (excluding parboiling by observation) in various unit operations of paddy production in the year 2011-13 and 2013-15, respectively. No on-farm value addition by farmers was practiced. Interventions in terms of infrastructure and mechanization, sensitization through trainings on modern methods of harvesting, processing, value addition, and improved storage methods are required to reduce the postharvest losses in Goa, and ensure better profit margin for farmers.
Effect of Operating Parameters on Performance of an Attrition-based Apricot Nut Cracker
Authors: Jagvir Dixit  , Mehak Ashiq Kawoosa  , Shahzad Faisal
Published: August 2023

The operating parameters of an attrition-based apricot nut cracker were studied. The cracking unit of the machine consisted of two rollers made of hollow mild steel pipes punched along its circumferance to make a rough surface, with clearance between the rollers adjustable in order to accommodate apricot nuts of varying sizes. The operating parameters comprised of three levels each of roller speed and feed rate; and two levels of moisture content. The roller speed, feed rate and moisture content significantly affected the cracking efficiency, kernel damage and throughput capacity. Increasing the roller speed enhanced the kernel damage, whereas increasing the feed rate reduced the kernel damage. Roller speed and moisture content had a significant impact on un-cracked nuts, whereas, feed rate did not have significant impact on un-cracked nuts. Similarly, increasing roller speed and feed rate enhanced the throughput capacity. Increase in the moisture content decreased the cracking efficiency and enhanced the kernel damage. Empirical equations were formulated based on multiple linear models. Based on response surface methodology, roller speed of 394 mm.s-1, moisture content of 8-10 %, and feed rate of 45 kg.h-1 were the optimal values for efficient operation of the apricot nut cracker. The response parameters cracking efficiency, kernel damage, un-cracked nut and throughput capacity were obtained as75.99 %, 11.35 %, 3.75 % and 44.96 kg.h-1, respectively.
Analysis of Rainfall Characteristics for Crop Planning in North and South Saurashtra Region of Gujarat
Authors: J. G. Hirapara  , P. K. Singh  , Manjeet Singh  , C. D. Patel
Published: August 2023

Knowledge of the sequences of dry and wet spells as well as onset and withdrawal of monsoon season is necessary for successful planning and management of agricultural ecosystem. In this study, 21-year (1997-2017) rainfall data of the North and South Saurashtra region of Gujarat were analysed to understand and quantify the South-west monsoon characteristics. Analysis of the results revealed that the onset and withdrawal of rainy season occurred during the 26th Standard Meteorological Week (SMW) and 40th SMW, respectively, in the North and South Saurashtra region. The length of the rainy season was 15 weeks for South Saurashtra and 14.5 weeks for North Saurashtra region. The South - and North-Saurashtra region received 96.7 % and 95.1 % of the mean annual rainfall, respectively, during the monsoon season. The initial probability of the wet weeks (25th - 34th SMW) and the conditional probability of wet week, followed by another wet week in the Saurashtra region varied from 47.6 % to 66.7 %, and 20.0 % to 64.3 %, respectively. Results indicated that the land preparation and sowing of kharif crops should be undertaken during the 24th to 26th SMW. The sowing of dryland crops in rabi season may be completed between 40th and 41st SMW, as remaining weeks have less probability of getting sufficient rainfall.
Irrigation and Fertigation Management for Chilli (Capsicum annuum) under Drip Irrigation System
Authors: B. Gireesh  , Narendra Agrwal  , Sameer Tamrakar  , Jitendra Sinha
Published: August 2023

Water and nutrient are two key factors in improving production and quality of agricultural produce. Application of these two inputs through drip irrigation requires standardization of crop-specific water and fertilizer application levels in various agro-ecological regions. In order to develop better water and fertilizer management strategies in drip irrigated chilli, an experiment was conducted in split-plot design with 3 drip irrigation levels (I1 = 60 %, I2 = 80 %, I3 = 100 %) of full irrigation water requirement (IWR) in combination with 3 fertilizer levels (F1 = 80 %, F2 = 100 %, F3 = 120 %) of recommended dose of fertilizer (RDF). The treatment having water application at 80 % of IWR and 100 % of RDF (I2F2) showed significantly higher chilli yield (24.80 t.ha-1), water productivity (41.8 kg.ha-1. mm-1) and fertilizer use efficiency (55.1 kg.kg-1 of N). Results confirmed that excess use of water and fertilizer beyond threshold levels was not beneficial to plant growth and yield. The treatment I2 F2 showed highest net income (3,97,276 `. ha-1) and benefit-cost ratio (4.02), and is recommended for commercial cultivation of chilli in hot and humid regions as of Raipur, Chhattisgarh.
Design and Development of Precision Planter for Paddy Direct Seeding
Authors: Pittala Rajaiah  , Indra Mani  , Roaf A. Parray  , Satish D. Lande  , Adarsh Kumar  , Cini Vergese
Published: August 2023

A study was undertaken to design and develop a precision planter for direct seeding of paddy to overcome the problems faced in direct seeding with respect to seed rate and spacing. Physical and engineering properties of paddy seeds of three varieties (PUSA1121, PUSA-44 and BPT-5204) representing long, medium, and small-sized paddy seed were used for selection of design values of planter components. Based upon laboratory performance, an optimum size metering plate, forward speed of operation, and angle of inclination were selected; and a prototype of a tractor-drawn 9-row precision paddy planter with electronic metering was developed. Performance results indicated a mean seed spacing of 150.1 mm (closer to recommended 150 mm), 90.5 % highest quality feed index, 5.7 % lowest miss index and 6.2 % multiple index, minimum seed damage of 0.38 % and optimum seed rate of 20.15 kg.ha-1 (closer to recommended 20 kg.ha-1) at a forward speed of 2.0 km.h-1 and 350 angle of inclination of slanting-type cells. The breakeven point and payback period of the prototype precision planter were 95 h.year-1 and 2.5 years, respectively, and were close to that of mechanical planter (88 h.year-1 and 2.3 years, respectively).
Angiomatosis bacilar y sarcoma de Kaposi en lesión cutánea de paciente VIH positivo
Authors: Cárdenas Graciana Lucía , Vittar Natalia Soledad , Ricart Javier José , Moreno Macías Laura Gabriela , Velázquez Jorge , Maronna Esteban , Corti Marcelo
Published: August 2023

La angiomatosis bacilar (AB) es una enfermedad infecciosa poco frecuente, causada por bacterias del género Bartonella spp, transmitidas por vectores como pulgas, piojos y mosquitos. En el ser humano provoca diferentes síndromes clínicos. En pacientes con infección por el virus de inmunodeficiencia humana (VIH) con un recuento de LT CD4 + <100 cél/µL se asocia al desarrollo de lesiones angiomatosas con neovascularización que comprometen la piel y, en menor medida, mucosas, hígado, bazo y huesos.
El sarcoma de Kaposi (SK) es una neoplasia que se caracteriza por hiperplasia vascular multifocal de origen endotelial relacionada en su patogenia con el herpes virus humano 8. También puede afectar la piel, mucosas y vísceras, siendo la variante epidémica una enfermedad marcadora de la infección avanzada por VIH. El principal diagnóstico diferencial clínico para las lesiones cutáneas y mucosas del SK es la AB.
Presentamos un paciente con enfermedad VIH/SIDA que desarrolló AB y SK en forma concomitante en la misma lesión cutánea.
Intervención educativa para mejorar la prescripción de ceftriaxona en un servicio de urgencias
Authors: Grande Ratti Maria Florencia , Sanchez Marisa , Genoud Naldo , Arguello Facundo , Burokas Maria Sol , Staneloni María Inés , Martínez Bernardo Julio , Nemirovsky Corina
Published: August 2023

Objetivo: Evaluar prevalencia y adecuación de ceftriaxona tras una intervención educativa en un servicio de urgencias. Métodos: Estudio cuasi experimental que incluyó un mues- treo consecutivo de consultas no programadas de pacien- tes adultos, durante dos meses preintervención y posin- tervención. Dicha intervención consistió en capacitación a médicos para limitar su indicación sólo a situaciones clínicas específicas (meningitis, enfermedad pélvica infla- matoria y abdomen agudo). Se utilizaron datos retrospecti- vos, con adicional revisión manual de historias, para validar adecuación de inicio antibiótico y apropiabilidad de droga. Se utilizó estadística descriptiva y analítica.

Resultados: De un total de 28.570 consultas, 512 recibie- ron ceftriaxona (1,79%; IC95% 1,64-1,95), y sólo 60,54% se hospitalizaron. En cuanto a la comparación antes-después, se observó una reducción en la tasa de uso (de 3,66% a 0,63%; p<0,001), la adecuación en el inicio de un antimicro- biano se mantuvo (de 84,52% a 86,21%; p=0,778), aunque la adecuación de ceftriaxona aumentó en forma significativa (de 41,78% a 84,00% respectivamente; p<0,001). Adicional- mente, se redujo el tiempo de estadía hospitalaria (media- na de 6 a 5 días; p=0,014), sin diferencias en la mortalidad intrahospitalaria (19,44% vs 17,24%; p=0,691), ni en la mor- talidad a los 30 días (23,41% vs 18,96%; p=0,464).

Conclusiones: Esta intervención resultó eficaz. Los hallaz- gos representan un paso fundamental en los programas de optimización del uso de antimicrobianos hospitalarios, que apuntan a reducir su sobreutilización y la consecuente resistencia.
Inteligencia artificial en enfermedades infecciosas
Authors: Belloso Waldo , Pasterán Fernando , Burgos Valeria , Díaz Sofía , Ciabis Vitas , Risk Marcelo
Published: August 2023

Estamos asistiendo a una verdadera revolución tecnológica en el campo de la salud. Los procesos basados en la aplicación de la inteligencia artificial (IA) y el aprendizaje automático (AA) están llegando progresivamente a todas las áreas disciplinares, y su aplicación en el campo de las enfermedades infecciosas es ya vertiginoso, acelerado por la pandemia de COVID-19.

Hoy disponemos de herramientas que no solamente pueden asistir o llevar adelante el proceso de toma de decisiones basadas en guías o algoritmos, sino que también pueden modificar su desempeño a partir de los procesos previamente realizados.

Desde la optimización en la identificación de microorganismos resistentes, la selección de candidatos a participar en ensayos clínicos, la búsqueda de nuevos agentes terapéuticos antimicrobianos, el desarrollo de nuevas vacunas, la predicción de futuras epidemias y pandemias, y el seguimiento clínico de pacientes con enfermedades infecciosas hasta la asignación de recursos en el curso de manejo de un brote son actividades que hoy ya pueden valerse de la inteligencia artificial para obtener un mejor resultado.

El desarrollo de la IA tiene un potencial de aplicación exponencial y sin dudas será uno de los determinantes principales que moldearán la actividad médica del futuro.

Sin embargo, la maduración de esta tecnología es necesaria para su inserción definitiva en las actividades cotidianas del cuidado de la salud requiere la definición de parámetros de referencia, sistemas de validación y lineamientos regulatorios que todavía no existen o son aún sólo incipientes.
The effects of board characteristics and firm size on firm value and financial performance
Authors: Riyadi Slamet , Arif Donny , Halik Abdul , Ariestya Kurnia Dwi
Published: August 2023

This research was conducted to see the influence of board characteristics, the firm size on firm value, and financial performance on companies with completed mergers and acquisitions on the Indonesian stock exchange. This study was used to look at financial performance, specifically in 7 years after the company made a merger from 2013-2020. This research instrument uses quantitative analysis data by testing predetermined hypotheses. The study also found that not all variables significantly impact the company's firm value and financial performance when conducting mergers. The main finding is that the more excellent board characteristic of the merger company will result in no improvement in the company's financial performance; this is due to a large number of improper decision-making actions because the rules issued by the board hinders it.
Experimental analysis on microstructure, mechanical properties, and corrosion behavior of TIG welded AISI 444 ferritic stainless steels
Authors: Pandey Prashant Kumar , Rathi Rajeev , Singh Mahipal , Verma Jagesvar
Published: August 2023

This study examined the nexus between electronic human resource management (e-HRM), employee engagement and organizational performance in small- and medium-sized Saudi firms. In total, 180 participants were randomly selected using convenience sampling. Structural equation model-partial least squares SEM-PLS, was applied for analysis purposes. The outcomes of this study show that there is no statistically significant relationship between organizational performance and e-HRM. E-HRM and employee engagement, as well as employee engagement and organizational performance, have a strong beneficial association. The results highlight the necessity of establishing efficient E-HRM procedures as a strategy to raise employee engagement and promote organizational performance.
Important factors to influence the coverage of drinking water
Authors: Purbasari Heppy , Bawono Andy Dwi Bayu , Wahyudi Luki Eko
Published: August 2023

This research is motivated by the phenomenon where the coverage of drinking water in Java in 2019-2020 is still below the standard set by the sustainable development goals. Out of Java's 226 districts/cities, only half have drinking water coverage above the average. This research aims to determine factors influencing drinking water coverage in districts/cities in Java. The data used in this study are secondary data obtained from the Central Statistics Agency and the Directorate General of Finance using a quantitative approach—the multiple linear regression model of this study. The method used in this study is multiple linear regression. The research findings indicate that infrastructure expenditure, the number of poor populations, and DAU significantly influence drinking water coverage, while DAK does not significantly influence drinking water coverage.
Agregado leve: uma alternativa sustentável para o reaproveitamento de resíduo de serragem no processo industrial
Authors: Oliveira Herbert Alves de , Pereira Cochiran , Melo Fernanda Martins Cavalcante de , Almeida Vanessa Gentil de Oliveira , Macedo Zélia Soares
Published: August 2023

A serragem gerada no processamento da madeira tanto em lojas moveleiras como na extração de árvores é um resíduo que possui diversas aplicações para reutilização, mas que, em muitos casos, ainda é descartado de forma irregular no meio ambiente, contaminando o solo, o ar e a água. A produção de agregado leve pode ser uma opção para o reaproveitamento dessa serragem. O agregado leve (AL) é uma opção de brita usada em construção civil com o objetivo de reduzir o peso da estrutura, melhorar o conforme térmico e acústico ou, ainda, como opção para locais onde a brita não está disponível. No Brasil e em quase todo o mundo existem argilas comuns disponíveis e que poderiam ser utilizadas na produção de agregado leve. O objetivo desta pesquisa foi produzir um AL para diferentes aplicações, entre elas como agregado para construção civil, tijolos e como elemento de adorno. Foram testadas formulações para a produção de agregado leve contendo argila ilita e serragem. Também, para efeito de comparação, foi adquirido um agregado leve comercial, e formulações feitas com argila e carvão mineral, argila e óleo combustível. Os corpos de prova foram produzidos por prensagem à pressão de 30 MPa, em formato cilíndrico com diâmetro de 19 mm e altura de 15 mm. Após a queima, os corpos de prova foram caracterizados por ensaios tecnológicos de absorção de água, densidade aparente, resistência à compressão, difração de raios X e análise química por fluorescência de raios X. Os resultados mostraram que a incorporação de serragem nas formulações pode ser uma alternativa para a produção de agregado leve, uma vez que se obtiveram alta resistência e baixa densidade em comparação com o agregado leve comercial e os produzidos com materiais não sustentáveis. Além disso, o uso da serragem contribuiu para a redução do impacto ambiental causado pelo descarte desnecessário de serragem e pela extração de recursos naturais, necessários para a produção de materiais de construção.
Ex ante analysis of circular built environment policy coherence
Authors: Bucci Ancapi Felipe
Published: August 2023

As European governments adopt new circular built environment policies to cope with the socio-ecological crisis, the need for evaluating such policies gains in urgency. Ex post evaluation is, however, difficult as these policies have not been in place long enough to have had significant effects. Nonetheless, ex ante policy evaluation may be possible by assessing policy coherence or the alignment and synergies of policy goals, instruments and implementation practices. This paper proposes a framework to analyse circular built environment policies. This framework is based on a combination of two existing analytical frameworks: circular city development and policy coherence analysis. The framework is tested for the case of a circular built environment in campus development at Delft University of Technology in the Netherlands, which is regarded as an urban development proxy. Policy documents and semi-structured interviews were analysed and coded. Results confirm previous findings about a prevailing focus on looping actions and indicates limited policy instrumentalisation across governance levels. Identified multilevel (in)coherence in circular city policy is pointed out as consequence of siloed-led and supply chain-based thinking and underdeveloped circular policy frameworks. Finally, the analytical benefits of circular city development and policy coherence frameworks are discussed.
Policy relevance
Circular economy policies are conceptually limited in delivering a more circular city and built environment. By proposing and testing a circular city policy coherence framework, this article reveals the limited effect of circular economy policies in coping with unsustainable urbanisation. Policymaking and implementation for circularity in the built environment require frameworks that embrace urban complexities instead of reductionist approaches seeing the built environment as a mere agglomeration of supply-chains. Policymakers may use the proposed circular city policy coherence framework as a tool for ex ante policy evaluation in diverse areas of urban development, and specifically for built environment interventions. The combination of both content- and process-based frameworks enables the identification of possible (in)coherence in current and future policy goals, instruments and implementation practices. This can improve policy in early stages of implementation and create more effective policy outputs and outcomes in the long term.
Petro y el Pacto Histórico: una aproximación sobre el giro a la izquierda en Colombia
Authors: González Vides Manuel Camilo
Published: August 2023

¿Cómo el Pacto Histórico logró alcanzar el gobierno en las elecciones de 2022? Partiendo de la literatura especializada, argumentamos que la existencia de dos explicaciones: la institucionalización partidaria de la izquierda y el voto económico frente al gobierno de derecha. Utilizando el rastreo de procesos construimos un camino causal enfatizando en la importancia de la construcción de una coalición movimentista bajo el liderazgo del partido-movimiento Colombia Humana imbricado dentro del ciclo de protestas y la caída de aprobación presidencial del gobierno del Centro Democrático. Sin embargo, el giro a la izquierda en Colombia fue incongruente por lo que existe una continua tensión entre partidos establecidos y nuevos movimientos políticos al interior de la coalición de gobierno.
Techno-Populism revisited: A Comparison between the Italian Five Stars Movement (Movimento 5 Stelle) and the Chilean People’s Party (Partido de la Gente)
Authors: Padoan Enrico
Published: August 2023

This paper compares the ideological and organizational trajectory of the Italian M5S (Movimento Cinque Stelle) with the ideological and organizational foundations and characteristics of a recently born party, the Chilean Partido de la Gente (PdG). This paper aims not only at putting the early trajectory of the PdG in comparative perspective and to start focusing on an under-researched party. This paper also aims at debating over the analytical strengths and weaknesses of adopting the conceptual lens of ‘technopopulism’ to classify and understand both the M5S and the PdG. This paper argues that these two parties share (more exactly, shared, because of the evolution of the Italian party) not only several genetic discoursive and (to a minor extent) organizational characteristics, but also some (albeit not all) contextual (historical, social, political) conditions favoring their successful emergence and electoral consolidation. At the same time, a closer analysis sheds some lights on important ideological (and, consequently, socio-political, i.e. in terms of class appeals) differences that may contribute to understand their seemingly diverging evolutions. These differences suggest that the concept of ‘techno-populism’, while analytically useful and even attractive, may also obscure strongly different ideological foundations of parties sharing the same techno-populist logic. Contra defenders of the ‘techno-populist’ concept, the traditional left-right dimensions (in our case, mostly declined through the pro-state/pro-market divide) are destined to reappear, sooner or later, in the surface.
The Disposal Mode of Maine’s Waste Governance
Authors: Blackmer Travis , Berry Brieanne , Haedicke Michael , Isenhour Cindy , Lee Susanne , MacRae Jean D. , Saber Deborah , Victor Erin
Published: August 2023

Maine’s materials management system is stuck in a disposal mode of waste governance. Despite significant investments in programs and policies designed to reduce the amount of waste the state buries each year, recent shocks and uncertainties have resulted in increased waste generation and disposal. This paper analyzes specific ways through which materials management in Maine has become locked in to a disposal mode of waste governance. We build a framework to help understand various forms of lock-in and how they might be unlocked. This framework is applied to the extended producer responsibility packaging law that is presently under the rule-making process in Maine, the first state to adopt such a policy in the United States.
LEGISLATIVE BACKGROUND OF STATE CULTURAL POLICY IN TIME OF WAR
Authors: Valevskyi Oleksii
Published: August 2023

The article deals with the issue of legislative support of the state cultural policy of Ukraine under martial law. The author argues that it is necessary to update the strategic documents regarding cultural policy, in particular the strategy for the development of the cultural sector. The current documents defining the directions of cultural policy are outdated and are not fit for purpose.

One vital aspect of the ​​legislative support for cultural policy is the creation of a regulatory framework for public-private partnerships in the field of culture. Currently, the level of budget funding has significantly decreased, therefore the use of the potential of public-private partnerships could become an alternative source of financial support for cultural projects. The current state of the regulatory framework of public-private partnerships needs to be tailored to create optimal conditions for attracting private business resources to support cultural projects. Special attention needs to be paid to the creation of a legal basis for philanthropic activity.

Russia’s large-scale military invasion radically accelerated the consolidation of Ukrainian society and the strengthening of identity values. New structures of socio-cultural identity are being established in Ukrainian society. The author highlights the relevance of the legislative definition of the directions of humanitarian and cultural work, aimed at supporting new trends in the formation of citizens' identity and the development of human potential. In particular, there is a need to implement European values ​​into the structure of sociocultural identity of Ukrainian society.

Proposals for additions to a number of regulatory and legal acts have been formulated, which will contribute to increasing the effectiveness of cultural policy, attracting private investment in the cultural realm to make up for the lack of budget funding, and forming a socio-cultural identity.
Perception, precausions and acceptance of vaccination against SARS COV-2 viral infection among health workers in two tertiary hospitals in southeast Nigeria, four years after the onset of the pandemic
Authors: Nwali Matthew Igwe , Immaculata Nwali Nneka , Donald Nweze John
Published: August 2023

Background: The study was conducted in two tertiary hospitals located in ababkaliki the capital city of Ebonyi State.

Aim: To ascertain the perception, awareness and vaccination of COVID-19 among the health workers.

Methods: A questionnaire/data sheet was developed for the study. Information on sociodemographic characteristics, perception and awareness and COVID 19 vaccination were obtained. The data were fed into the computer using SPSS version 25, Illinoi USA and analysis done.

Results: We had 420 respondents with the mean age of 39.1±9.8 and ranged from 20 to 70years made up of doctors, nurses/midwives, laboratory scientists, pharmacists and others. There was high awareness of COVID 19 in the group but with poor knowledge of spread 47.4% and preventive measures 43.1%. awareness of vaccine was high 96.9% but the uptake was low 33.8% with major reason being fear of side effect and some also believe vaccine is a scam. Some of the respondents were survivors of COVID 19.

Conclusion: There is high awareness of COVID 19 disease in the hospitals but poor knowledge of mode of spread and preventive measures including very low uptake of anti-COVID 19 vaccines and inadequate provision of PPEs 4 years after the onset of the pandemic.
Current Technologies and Applications of Digital Image Processing
Authors: Zheng Wenfeng
Published: August 2023

There has been significant advances in the field of image and video processing over the past few decades. The term "image processing" is used to describe multiple signal-processing methodologies where images (such as video or picture frames) serves as the input, resulting to another image or a collection of image-related parameters or features. The majority of methodologies to image processing include reducing the picture to a two-dimensional signal and processing it in the same way as any other signal. The term "video processing" on the other hand is used to describe a particular type of signal processing where video files or video streams are utilized as output or input signals. Video recorders, televisions, video codecs, digital versatile, disc players, and other devices all utilize video processing algorithms. This paper provides a survey of the components of Digital Image Processing (DIP) as well as the recent developments in Image Processing technology and DIP applications.
Literature Study on Conditions of Sea Surface Temperature and Seawater Rise in Indonesia Detected by Remote Sensing
Authors: Mulyani Agnes Sri
Published: August 2023

The Sea Surface Temperature (SST) is an important parameter for climate dynamic issues either globally or regionally as well as for global warming issues. In some condition the parameter can cause melting glaciers that will influence the rise of the sea levels. The further effect will be the climate change with the weather phenomena such as storms, hurricanes and heavy rains. As the result, the changes of the planting seasons occur and all of these will harm human life on earth. If there is no prevention with the condition of the parameter it is predicted that by 2040 the sea levels will rise highly because of the melting polar ice caps that will cause the sink of theislands. The SST has been detecting using remote sensing methods for 32 years in Indonesia. The trend has increased to reduce the damage of infrastructure and the activity disturbance of coastal communities. Indonesian country optimistically commits to achieve the target of net zero emission by 2060. The Indonesian government has stated nationally the climate target commitments determined for Indonesia and will strive to maintain the main target of reducing greenhouse gas emission into 41% by 2030.
Risk Prediction Model of Road Accidents During Long Holiday in Thailand Using Ensemble Learning with Decision Tree Approach
Authors: Palwisut Paranya
Published: August 2023

The rate of injury and death from traffic accidents during the New Year and Songkran Festival each year has high and are continuously on the increase. The researchers, therefore, has decided to study and develop a model for predicting the road accident risk during the holiday season with ensemble learning based on decision tree approach. The aim is to help reduce accidents and loss of life caused by road accidents. The dataset used in this research is traffic accidents resulting in injury and death data during the long holiday from 2008 to 2015 from hospitals across the country, accumulatively recorded by the National Institute for Emergency Medicine. Thisresearch compared the efficiency of data classification to find the best ensemble model for predicting traffic accident risk. The methods studied included Adaptive Boosting (AdaBoost), and Random Forest, and the decision tree techniques used in the experiment were J48, ID3, and CART. The results of experiment and comparisons of classification efficiency showed that the Random Forest algorithm with J48 decision tree was the most efficient model, providing an accuracy of up to 93.3%.
System Recognizes the Digital Image of Pistol Shell Casings by Developing Algorithms Combined with Deep Learning
Authors: Jivorarak Aree , Meethongjan Kittikhun , Kunides Narong
Published: August 2023

Gun-related violence in Thailand is in a high rate. Resume reports showed that most of them caused by gun-shooting.Thus, Firearms and bullets are important evidence in the judicial process to link the events and the perpetrators.Therefore, the aim of this study was to present the system recognizes the digital image of pistol shell casings by developing algorithms combined with deep learning. The objectives of this forensic study were to 1) analyze, design, and develop a Pistol Identification System (PIS) based on breech face marks of cartridge case digital images, and 2) achieve a guideline or an alternative method for facilitating an expert to investigate firearms linked to the offender. In this research the PIS that was designed with programming language applied to develop algorithms for identification of the breech face marks of cartridge case digital images. In addition to that, MATLAB’s tools were applied in the deep learning process to achieve the final PIS model. The steps of deep learning technique were composed of designing a training and repeat the experiments over multiple cycles (Epoch) for the purpose of confirming, test and adjust the proportions of the hidden layers until reaching the ratio of 80:10:10 and accomplishing a satisfied averaged accuracy rate. The PIS model was subsequently used for comparison and predict the image pair through database management technology. Materials used in this study were composed of 50,000 images of rear plates of .38 Cartridge case, Camera, Mobile Phone, Computer, MATLAB language and Microsoft Access software. The findings showed that the PIS developed is of satisfactory accuracy capable of accurately matching the pairs of images stored in the database and could also be traced back to the gun used at the scene and gun owners. The results of this study would apply as the alternative or guideline to PIS and even would help forensic practitioners to cross-checking and investigating firearms in relation to the offender.