bluuebunny/crossref_metadata_2025 huggingface dataset:
GAMBARAN FAKTOR RESIKO PADA IBU HAMIL DI WILAYAH KERJA PUSKESMAS SAWAH LEBAR KOTA BENGKULU
Authors: Rahmawati Diyah Tepi , Syafrie Ice Rakizah , Ekaguspita Dwi , Diniarti Fiya
Published: May 2023

Tujuan dari penelitian ini adalah untuk mengetahui gambaran faktor resiko pada ibu hamil di wilayah kerja puskesmas Sawah Lebar Kota Bengkulu.  Desain yang digunakan dalam penelitian ini adalah survey deskriptif, dengan data sekunder tentang gambaran faktor resiko pada ibu hamil di Wilayah Kerja Puskesmas Sawah Lebar Kota Bengkulu dengan cara mendeskripsikan variabel yang diteliti adalah gambaran faktor resiko pada ibu hamil di Wilayah Kerja Puskesmas Sawah Lebar Kota Bengkulu meliputi usia ibu, paritas, tinggi badan, tekanan darah, lila, jarak kelahiran dan hemoglobin (HB). Pada penelitian ini menggunakan analisis univariat untuk menjelaskan atau mendeskripsikan angka atau nilai responden penyajian data dalam penelitian ini menggunakan table distribusi frekuensi dan narasi. Berdasarkan hasil penelitian dan analisa data, dapat disimpulkan sebagai berikut : Sebagian kecil (9,1% ) ibu hamil dengan faktor resiko usia < 20 tahun dan >35 tahun. Sebagian kecil ( 2,9%) ibu hamil dengan faktor resiko paritas > 4 anak. Sebagian kecil (0,9%) ibu hamil dengan faktor resiko tinggi badan <145cm. Sebagian kecil (1,8% ) ibu hamil dengan faktor resiko tekanan darah > 140/90 mmhg. Sebagian kecil (11,1% ) ibu hamil dengan faktor resiko LILA <23,5 cm. Sebagian kecil ( 2,6% ) ibu hamil dengan faktor resiko jarak kehamilan < 2 tahun. Sebagian kecil (0,4%) ibu hamil dengan faktor resiko kadar Hb (<11gr/dl).
Perancangan Motion Promotional Campaign “Positif Bermedia Sosial”
Authors: Hadi Nur
Published: May 2023

Media sosial dan Internet menjadi konsumsi publik yang mudah di akses saat ini. Peranan media komunikasi visual menjadi penting dalam memberikan edukasi bagi masyarakat untuk menyaring beragam informasi dari media sosial agar tidak timbul perilaku negatif sebagai akibat salahnya informasi yang di akses. Media komunikasi visual harus mampu menampilkan informasi lengkap yang mudah dipahami serta menarik. Selain itu media ini harus dapat di sebarluaskan dengan mudah di berbagai platform sosial media. Media motion grafis efektif sebagai media komunikasi visual yang dapat menjangkau pengguna media sosial yang akan ditempatkan di platform digital baik itu medsos maupun media digital lainnya. Motion grafis yang dirancang akan berisikan beragam informasi dan pesan yang bertujuan untuk menggerakkan masyarakat turut serta mengkampanyekan ber-media sosial dengan positif.
Analisa Estetika Foto Jurnalistik dalam Wacana Fotografi Kontemporer
Authors: Akbar Aprillio Abdullah
Published: May 2023

Paradigma estetika foto jurnalistik yang bisa dibilang sangat kaku dengan kehadiran kategori open format dalam penyelenggaraan World Press Photo Contest tahun 2022 membuka mata bagi pewarta foto untuk terus bereksplorasi tidak hanya dalam isu-isu namun pada pendekatan visual yang ditawarkan karena dengan itu maka makna fotografi sebagai bahasa visual menjadi semakin ditegaskan. Dalam penelitian ini, menggunakan metode penelitian deskripsi kualitatif yang berlandaskan sembilan wacana fotografi kontemporer yang dikemukaan oleh Charllote Cotton. Teknik pengumpulan data dengan melakukan analisis visual terhadap salah satu karya foto jurnalistik dalam kategori open format pada penyelenggaraan World Press Photo Contest tahun 2022 yakni Jonas Bendiksen berjudul The Book of Veles. Hasilnya praktik estetika yang dilakukan oleh Bendiksen tersebut dapat dikatakan sebagai praktik foto jurnalistik kontemporer karena dalam The Book of Veles sebagai proyek foto jurnalistik nya memberikan pendekatan estetika baru baik secara ideasional maupun teknikal dan kehadirnya mendobrak praktik foto jurnalistik.
Deglacial climate changes as forced by different ice sheet reconstructions
Authors: Bouttes Nathaelle , Lhardy Fanny , Quiquet Aurélien , Paillard Didier , Goosse Hugues , Roche Didier M.
Published: May 2023

Abstract. During the last deglaciation, the climate evolves from a cold state at the Last Glacial Maximum (LGM) at 21 ka (thousand years ago) with large ice sheets to the warm Holocene at ∼9 ka with reduced ice sheets. The deglacial ice sheet melt can impact the climate through multiple ways: changes of topography and albedo, bathymetry and coastlines, and freshwater fluxes (FWFs). In the PMIP4 (Paleoclimate Modelling Intercomparison Project – Phase 4) protocol for deglacial simulations, these changes can be accounted for or not depending on the modelling group choices. In addition, two ice sheet reconstructions are available (ICE-6G_C and GLAC-1D). In this study, we evaluate all these effects related to ice sheet changes on the climate using the iLOVECLIM model of intermediate complexity. We show that the two reconstructions yield the same warming to a first order but with a different amplitude (global mean temperature of 3.9 ∘C with ICE-6G_C and 3.8 ∘C with GLAC-1D) and evolution. We obtain a stalling of temperature rise during the Antarctic Cold Reversal (ACR, from ∼14 to ∼12 ka) similar to proxy data only with the GLAC-1D ice sheet reconstruction. Accounting for changes in bathymetry in the simulations results in a cooling due to a larger sea ice extent and higher surface albedo. Finally, freshwater fluxes result in Atlantic meridional overturning circulation (AMOC) drawdown, but the timing in the simulations disagrees with proxy data of ocean circulation changes. This questions the causal link between reconstructed freshwater fluxes from ice sheet melt and recorded AMOC weakening.
Impact of AMV on rainfall intensity distribution and timing of the West African Monsoon in DCPP-C-like simulations
Authors: Mohino Elsa , Monerie Paul-Arthur , Mignot Juliette , Diakhaté Moussa , Donat Markus , Roberts Christopher David , Doblas-Reyes Francisco
Published: May 2023

Abstract. Previous studies agree on an impact of the Atlantic Multidecadal Variability (AMV) on total seasonal rainfall amounts over the Sahel. However, whether and how AMV affects the distribution of rainfall or the timing of the West African Monsoon is not well known. Here we analyze daily rainfall outputs from atmosphere-ocean coupled models. Models show dry biases over the Sahel, where the mean intensity is consistently smaller than observations, and wet biases over the Guinea Coast, where they simulate too many rainy days. In addition, most models underestimate the average length of the rainy season over the Sahel, some due to a too late monsoon onset and others due to a too early cessation. In response to a persistent positive AMV pattern imposed in the Atlantic, following a protocol largely consistent with the one proposed by the Component C of the Decadal Climate Prediction Project (DCPP-C), models show an enhancement in total summer rainfall over West African land mass, including the Sahel. Both the number of wet days and the intensity of daily rainfall events are enhanced over the Sahel. The former explains most of the changes in seasonal rainfall in the northern fringe, while the latter is more relevant in the southern region, where higher rainfall anomalies occur. This dominance is connected to the changes in the number of days per type of event: the frequency of both moderate and heavy events increases over the Sahel’s northern fringe. Conversely, over the southern limit, it is mostly the frequency of heavy events which is enhanced, affecting the mean rainfall intensity there. Extreme rainfall events are also enhanced over the whole Sahel in response to a positive phase of the AMV. Models with stronger negative biases in rainfall amounts tend to show weaker changes in response to AMV, suggesting systematic biases could affect the simulated responses. The monsoon onset over the Sahel shows no clear response to AMV, while the demise tends to be delayed and the overall length of the monsoon season enhanced between 2 and 5 days with the positive AMV pattern. The effect of AMV on the seasonality of the monsoon is more consistent to the West of 10º W, with all models showing a statistically significant earlier onset, later demise and enhanced monsoon season with the positive phase of the AMV. Our results suggest a potential for the decadal prediction of changes in the intraseasonal characteristics of rainfall over the Sahel, including the occurrence of extreme events.
Various ways of using empirical orthogonal functions for climate model evaluation
Authors: Benestad Rasmus E. , Mezghani Abdelkader , Lutz Julia , Dobler Andreas , Parding Kajsa M. , Landgren Oskar A.
Published: May 2023

Abstract. We present a framework for evaluating multi-model ensembles based on common empirical orthogonal functions (common EOFs) that emphasize salient features connected to spatio-temporal covariance structures embedded in large climate data volumes. This framework enables the extraction of the most pronounced spatial patterns of coherent variability within the joint dataset and provides a set of weights for each model in terms of the principal components which refer to exactly the same set of spatial patterns of covariance. In other words, common EOFs provide a means for extracting information from large volumes of data. Moreover, they can provide an objective basis for evaluation that can be used to accentuate ensembles more than traditional methods for evaluation, which tend to focus on individual models. Our demonstration of the capability of common EOFs reveals a statistically significant improvement of the sixth generation of the World Climate Research Programme (WCRP) Climate Model Intercomparison Project (CMIP6) simulations in comparison to the previous generation (CMIP5) in terms of their ability to reproduce the mean seasonal cycle in air surface temperature, precipitation, and mean sea level pressure over the Nordic countries. The leading common EOF principal component for annually or seasonally aggregated temperature, precipitation, and pressure statistics suggests that their simulated interannual variability is generally consistent with that seen in the ERA5 reanalysis. We also demonstrate how common EOFs can be used to analyse whether CMIP ensembles reproduce the observed historical trends over the historical period 1959–2021, and the results suggest that the trend statistics provided by both CMIP5 RCP4.5 and CMIP6 SSP245 are consistent with observed trends. An interesting finding is also that the leading common EOF principal component for annually or seasonally aggregated statistics seems to be approximately normally distributed, which is useful information about the multi-model ensemble data.
IDENTIFICATION OF RELEVANT POINT CLOUD GEOMETRIC FEATURES FOR THE DETECTION OF PAVEMENT CRACKS USING MLS DATA
Authors: del Río-Barral P. , Grandío J. , Riveiro B. , Arias P.
Published: May 2023

Abstract. The maintenance of road infrastructures is one of the main challenges that transportation authorities must face to guarantee the safe mobility of people and goods. Novel remote monitoring technologies offer advanced solutions for this issue, allowing the inspection of large sections of the network in a time-effective way. In this paper, we introduce a methodology for the detection of cracks on road pavements using point clouds acquired with a mobile laser scanner. First, the points of the cloud are labelled as pavement or cracks based on field annotations, and local geometric features of the points are calculated using principal component analysis. Two different machine learning classifiers, Support Vector Machine (SVM) and Random Forest, are then trained to identify crack points using the point feature data. The crack points predicted by the classifiers are clustered as individual instances and compared to the corresponding ones from a test dataset. Although pointwise performance of the method is modest, it can correctly identify and measure areas of the pavement affected by cracking.
DESIGN AND IMPLEMENTATION OF STEREO VISUAL ODOMETRY SYSTEM BASED ON ROP ADJUSTMENT
Authors: Lin K. Y. , Tseng Y. H. , Chiang K. W.
Published: May 2023

Abstract. Stereo Visual Odometry (SVO) is a technique used to estimate the continuous position and orientation of a moving platform using a dual-camera system that captures stereo image pairs. To obtain accurate results, A SVO system must be calibrated before use. System calibration is necessary to determine the intrinsic camera parameters (ICPs) and the relative orientation parameters (ROPs) between the cameras at real scale. Compared to monocular visual odometry, a calibrated SVO system can recover the real scale of the translation vector without additional sensors.The proposed method in this study utilizes ROP adjustment for SVO. Instead of conventional bundle adjustment, this method adopts all sets of ROPs as measurements in the designed network adjustment model. Specifically, there are six sets of ROPs among time-adjacent stereo image pairs.A SVO system was designed to implement the proposed SVO method. Two experiments were conducted in outdoor and indoor test fields to evaluate the performance. Several ground check points were set up for distance and position verification. The drift ratio was also evaluated. The results demonstrate that the designed SVO system has great feasibility and accuracy for navigation applications.
SURVEY OF HISTORICAL GARDENS: MULTI-CAMERA PHOTOGRAMMETRY VS MOBILE LASER SCANNING
Authors: Perfetti L. , Marotta F. , Fassi F. , Vassena G. P. M.
Published: May 2023

Abstract. This paper presents an investigation into the characterization of historical gardens by comparing two 3D survey methodologies. In this context, approaches employing terrestrial laser scanning are considered the most accurate, while Mobile Mapping Systems (MMSs) are considered promising due to their extreme productivity. Less common is the use of close-range photogrammetry. This paper compares two approaches based on the use of a wearable MMS and the use of an in-house built photogrammetric multi-camera prototype. The comparison aims to assess the applicability of the two techniques in this field, evaluating their advantages and disadvantages in surveying a historical garden and extracting information for tree inventory, such as the DBH (Diameter at Breast Height) and canopy footprint. We compared the practicality of surveying and processing operations; and the quality and characteristics of the point clouds obtained. Both systems produced a dense representation of the terrain. The multi-camera survey resulted to be more defined due to the lower noise of the point cloud but incomplete in the definition of tree canopies. DBH of tree trunks can be extracted with both systems, except for thinner and finer diameter trunks detected by the MMS approach but not always by the multi-camera. The MMS approach proved more effective thanks to a shorter survey time required to cover an equal area and the fact that the MMS survey alone is sufficient for the geometric description of trees. In contrast, the multi-camera approach cannot avoid integration with an aerial survey for canopy reconstruction.
A METHOD FOR REVERSING THE EFFECT OF DIGITAL IMAGE BLURRING: A SPACE DOMAIN INVESTIGATION
Authors: Scarmana G.
Published: May 2023

Abstract. Mobile mapping technology has transformed the way in which we capture and map our surroundings. The widespread use of mobile devices such as smart phones and drones has made data collection more efficient and accessible than ever before. However, the image quality of this data is often compromised due to the static or motion blurs resulting from the device being stationary or moving during the data collection process. This can lead to a loss of information, making the data less useful.To address this issue, an inverse filtering or deblurring method based on the theory of least squares is examined. This method implements a deconvolution process in the space domain and can restore the original image with a high degree of accuracy if the model of the function or filter that blurred the image is known or can be established.The accuracy and validity of the deblurring results are presented in terms of the root mean square error (RMSE) of the differences of pixel intensity values between the original and de-blurred images. In tests using grey-scale aerial images of varying entropies and different types of blurring, the RMSE value never exceeded ±5 pixel intensity values. This discrepancy is due to the rounding of pixel values resulting from image operations.The deblurring method presented in this work is an adaptation and extension of a previously described process, tailored specifically for filtering and restoring images - particularly aerial imagery - affected by static and motion blur. This process could also be applied in image compression processes and techniques of transmission over digital links, where blurring filters can suppress noise and increase the dependence between neighbouring pixel values, thereby improving the compression ratio (CR).
INVESTIGATION OF THE SUITABILITY OF A PERSONAL LASER SCANNING DEVICE FOR THE MONITORING OF SMALL WATER BODIES
Authors: Blaskow R. , Eltner A.
Published: May 2023

Abstract. This study investigates the applicability of a personal laser scanner (PLS) in surveying small creeks in urban areas. The surveying of the creek geometry can be done only with the PLS system or as a combination of terrestrial PLS measurement and airborne image sequence acquisition by an uncrewed aerial vehicle (UAV). For both methods, georeferencing is performed using RTK-GNSS. Based on the combination of the datasets and from additional terrestrial laser scanning (TLS) comparison, conclusions can be drawn about the accuracy of the PLS measurements. Point-to-mesh based distance calculations between the PLS and UAV measurement showed a variation of ± 0.10 m (96% of points) at selected naturally vegetated sites. The comparison of the PLS and TLS data set revealed differences with a standard deviation of 0.02 m at solid natural (tree trunk) structures and ground areas. The calculated differences grow with increasing distance to the PLS trajectory.
SIMULATION OF LOW-COST MEMS-LIDAR AND ANALYSIS OF ITS EFFECT ON THE PERFORMANCES OF STATE-OF-THE-ART SLAMS
Authors: Vultaggio F. , d’Apolito F. , Sulzbachner C. , Fanta-Jende P.
Published: May 2023

Abstract. Indoor Unmanned Aerial Vehicles have often been tasked with performing SLAM, and the sensors most used in literature and industry have been cameras. Spanning from stereo to event cameras, visual algorithms have often been the de facto choice for localization. While visual SLAM has reached a high level of accuracy in localization, accurate map reconstruction still proves to be challenging. Meanwhile, LiDAR sensors have been used for years to obtain accurate maps. First in surveying applications and in the past ten years in the automotive sector. The weight, power, and size constraints of most traditional LiDARs have prevented their installation on UAVs for indoor use. MEMS-based LiDARs have already been used in UAVs but had to rely on algorithms designed to deal with their small FOV. Recently, a MEMS-based LiDAR with a wide field of view (360°*59°) and weighing 265 g has sparked interest in its potential for indoor UAV SLAM. We performed an extensive battery of tests in simulation environments to provide a first look into its effect on state-of-the-art SLAM algorithms, highlight which ones can provide the best results, and what improvements may be most beneficial. This paper aims to provide assistance in further research in the field by releasing the tool used for this work.
THE IMPLEMENTATION OF SEMI-AUTOMATED ROAD SURFACE MARKINGS EXTRACTION SCHEMES UTILIZING MOBILE LASER SCANNED POINT CLOUDS FOR HD MAPS PRODUCTION
Authors: Chang Y.-F. , Chiang K.-W. , Tsai M.-L. , Lee P.-L. , Zeng J.-C. , El-Sheimy N. , Darweesh H.
Published: May 2023

Abstract. As research on autonomous driving deepens, High-definition Maps (HD Maps) have gradually become an auxiliary information for the new generation of autonomous driving technology. Compared to traditional electronic navigation maps, HD Maps have higher accuracy requirements and more information. Multi-road environment information and road elements are included. In the production of HD Maps, the on-board Mobile Laser Scanning (MLS) system has the ability to quickly collect environmental information, with high precision, thus making the system a widely used data collection method today. However, subsequent map building, digitization, and other mapping work still rely on manual operation, which is time-consuming and laborious. Therefore, this research is dedicated to developing a semi-automatic algorithm to generate HD Maps from the acquired point cloud data. This research focuses on the extraction of road surface markings, using the Cloth Simulation Filter (CSF) to obtain the road surface point cloud to improve the extraction efficiency. The road markings are extracted using the characteristic of high intensity values, and the commonly used Otsu threshold filter in image processing is used to extract point clouds with high reflectance intensity, eliminating the need for manual setting of point clouds. And based on geometric conditions, the objects are classified, such as arrow lines, pedestrian crossings, stop lines, and lane lines, which are convenient for further mapping HD Maps.
İnternet Bağımlılığı Tedavisinde Bilişsel Davranışçı Grup Terapileri
Authors: Küçükkaraca Nilgün , Pak Halil
Published: May 2023

İnternet bağımlılığı, COVID-19 pandemisi döneminde günlük yaşamda internet ile kurulan ilişkinin artması nedeniyle toplumsal bir soruna dönüşme riski taşımaktadır. İnternet bağımlılığı ile mücadelede etkili olan uygulama yaklaşımlarından biri bilişsel davranışçı terapidir. Bununla birlikte grup terapileri, grup üyelerine sorunlarında yalnız olmadıklarını göstermeyi ve bu sorunlarla mücadelede ederken sosyal destek sistemlerini geliştirmeyi amaçlar. Ayrıca, grup üyeleri birbirlerine rol model olurlar. Türkiye’de de internet bağımlılığının toplumsal bir soruna dönüşme riski vardır. Fakat Türkiye’de internet bağımlılığı tedavisinde bilişsel davranışçı grup terapilerinin etkilerini araştıran çalışmalar az sayıdadır. Bu nedenle bu çalışmanın amacı, internet bağımlılığı ile grup düzeyinde çalışırken kullanılabilecek müdahale yaklaşımlarından biri olan bilişsel davranışçı terapiyi tartışmaktır. Bu amaç doğrultusunda bu çalışmada internet bağımlılığı kavramı ve tanı kriterleri, internet bağımlılığına yönelik müdahaleler, bilişsel davranışçı grup terapileri ve literatürdeki ampirik araştırmalar çerçevesinde internet bağımlılığı tedavisinde bilişsel davranışçı grup terapileri ele alınmıştır. Sonuç olarak, bilişsel davranışçı grup terapileri internet bağımlılığı semptomlarını azaltmaktadır. Ancak farklı yaş gruplarını, kadınları ve bir risk faktörü olarak COVID-19 pandemisini gözeten araştırmalara ihtiyaç duyulmaktadır.
Arthropod Community Structure in Oil Palm Nurseries
Authors: Efendi Siska , Setiawati Puji , Yaherwandi
Published: May 2023

Nurseries are one of the essential agronomic activities in oil palm cultivation. Oil palm seedlings are cultivated on a large scale, different from nurseries for other plantation commodities. The nursery expanse comprises various biotic components, one of which is Arthropods. This study aims to determine the Artropod community and its function in oil palm nurseries. The research was carried out at two nurseries, Nagari Gunung Medan and Nagari Kurnia Selatan, Dharmasraya Regency, West Sumatra Province. Sampling using the pitfall trap, yellow pan trap, insect nets, and direct collection methods. The results showed that the Arthropods that make up the oil palm nursery ecosystem were insects and spiders. Arthropods in oil palm nurseries act as phytophages, predators, parasitoids, and detrivores. Phytophage insects found in oil palm nurseries were 700 individuals consisting of 4 orders, nine families, and 14 genera/species. Predatory insects, parasitoids, and detritivores were found in as many as 466 individuals consisting of 5 orders, 14 families, and 16 genera/species. There are two species of spiders in oil palm nurseries: Pardosa sp and Oxyopes javanus. Valanga sp was the species with the highest number of individuals in oil palm nurseries.
Tarama Sözlüğü’nün Ters Dizimi
Authors: AYDIN Yusuf Can
Published: May 2023

The term "reverse syntagm" is used to describe the arrangement starting from the last letters of words rather than the first letters, and it holds an important place in language studies. Reverse syntagm allows for the grouping of words that end with the same sounds or suffixes. In addition to providing insights into the affixation culture, it also saves time for researchers. Numerous studies have been conducted on reverse syntagm in our language as well as in different languages. “Tarama Dictionary”, which is constantly used by researchers due to its significant linguistic material, has an index prepared by adhering to the alphabet used in Ottoman Turkish and its ordering. With this study, in which we have conducted the reverse syntagm of the “Tarama Dictionary”, our aim is to provide benefits to researchers in many fields. Keywords: Dictionary, reverse syntagm, word, index
Opportunities for Pakistan’s Exports Growth through OBOR: Case of Central Asian Republics
Authors: Ahmed Arsalan , Nawaz Faisal , Ali Muhammad , Younus Muhammad , Wizarat Shahida
Published: May 2023

The economic expansion of these large countries generates a boundless prospect for the Central Asia Republics to emerge as a hub for trade and commerce. Especially with trade road development programs such as Western Europe - Western China (WE-WC) International Transit Corridor Project, One Belt One Road Project (OBOR), this paper analyzes the exports of Pakistan to Central Asian Republics. It explores the flaws and opportunities for bilateral trade. The study uses the Constant Market Share (CMS) method for the analysis and estimates World Trade Effect, Markets Distribution Effect, Commodity Composition Effect, and Competitiveness Effect for Pakistan`s exports. The study found that the World Trade Effect and Markets Distribution Effect positively impacted the exports of Pakistan while the Commodity Composition Effect and Competitiveness Effect were causing problems for Pakistan’s export growth for Central Asian Republics Markets. The study concluded that exports of Pakistan are concentrated in a few commodities, such that 45-50% of Pakistan’s overall exports have a lower global export growth rate than other commodities. Also, the exports to Central Asian Republics (from Pakistan) have a growth rate, but still not substantial due to the low share of these commodities (in the total imports of Central Asian Republics). Lastly, an effective exchange rate policy for the Central Asian Republics can minimize this negative effect of the Competitiveness Effect.
Uso conservação do solo: a percepção dos agricultores do município de Congo PB.
Authors:   , Jordão das Neves Moura Bruno
Published: May 2023

A percepção ambiental é uma importante ferramenta para compreensão da qualidade ambiental, pois reflete a visão dos atores sociais. Na Agroecologia é importante conhecer o entendimento que os agricultores e agricultoras trazem do solo, dos recursos naturais e de seu ambiente. Esse entendimento diz respeito às atividades pertinentes à Etnopedologia, ciência que busca compreender as interfaces da relação homem-solo. O objetivo da pesquisa foi avaliar a visão dos agricultores familiares do município do Congo, Cariri paraibano, sobre o solo, as práticas de degradação e conservação do solo, com ênfase na erosão e salinização. A metodologia do trabalho baseou-se na aplicação de questionários semiestruturados, com vinte e duas questões. Os resultados apontam para o pouco conhecimento que os agricultores têm sobre os processos erosivos e demais práticas de degradação da qualidade do solo e mostram a necessidade do desenvolvimento de estratégias para aproximar os saberes sobre a conservação do solo, expondo as limitações e potencialidades do solo, e apontando para as intervenções necessárias no agroecossistema, acessíveis e adequadas a realidade local.
Avaliação de percepção de um sistema hidropônico na região do Cariri Paraibano: alternativas sustentáveis para a produção de hortaliças na comunidade de Uruçu.
Authors:   , da Silva Farias Karoline
Published: May 2023

Cada vez mais a sociedade tem buscado e exigido uma agricultura sustentável e mais saudável. É importante utilizar técnicas que proporcione uma maior economia de água, principalmente em regiões onde apresentam um baixo índice pluviométrico. O presente estudo tem o objetivo de verificar como se encontra atualmente a produção de hortaliças em sistema hidropônico no município de são João do Cariri - PB, apontando as vantagens e desvantagens desse sistema e a visão que os cooperados da Hidroçu e a comunidade tem sobre a sua instalação. A coleta de dados ocorreu através da observação e aplicação de questionários, a pesquisa ocorreu no período de outubro de 2014 á março de 2015. Os resultados apontam a satisfação da equipe gestora e dos cooperados com o conhecimento adquirido. Atualmente a Hidroçu produze cinco variedades de alface, rúcula, agrião, coentro e pimenta, e comercializa seus produtos nas feiras livres, em restaurantes, lanchonetes e supermercados. A estrutura física da cooperativa tem a capacidade de ampliar sua produção em torno de 55%. A principal dificuldade enfrentada é a conquista de novos mercados. A Hidroçu além de ter se apresentado com uma fonte de emprego e renda, proporcionou para a comunidade água potável e alimentos de qualidade.
Agroecologia e inclusão: a produção de flores com os usuários do CAPS de Sumé na visão dos familiares.
Authors:   , Ednalva Ferreira Mota Maria
Published: May 2023

Este trabalho tem como objetivo principal estudar a percepção de familiares e cuidadores dos usuários do serviço de saúde mental Centro de Atenção Psicossocial (CAPS) Estação Novos Rumos de Sumé - PB, sobre as atividades do Projeto Sumé com Flores, desenvolvidas no Viveiro de Mudas do Centro de Desenvolvimento Sustentável do Semiárido (UFCG Campus Sumé). A população do estudo se constituiu de 14 familiares, que concordaram em participar da pesquisa, cujo instrumento foi um questionário semi estruturado. Os familiares argumentam que existem resultados evidentes quanto a satisfação dos usuários em poder participar das ações do Projeto Sumé com Flores, que os fazem sentirem-se úteis não só a si mesmos, mas aos seus familiares, e à própria sociedade. Argumentam ainda que tem sido possível perceber mudanças no seu modo de encarar a vida, comparando-se o seu existir antes e depois do Projeto Sumé com Flores, demonstrando assim, que esse tipo de Recurso Terapêutico tem proporcionado aos usuários do CAPS uma esperança de vida e de transformação social com a superação dos obstáculos causados pela doença que os afligem, inserindo-se nos princípios da Agroecologia, que prima pela inclusão social das diversas classes e segmentos da sociedade, dando visibilidade ao processo de renovação e transformação social.
Révision des pelouses xériques d’Auvergne et de la plaine du Forez
Authors: Roux Camille , Brocard Léa
Published: May 2023

Le programme IHMAGES a pour objectif d’effectuer des analyses diachroniques en comparant d’anciens relevés de végétation de pelouses xériques, à des nouveaux effectués dans les mêmes sites. Afin de caractériser correctement les habitats concernés nous avons effectué une analyse à partir de 282 relevés appartenant à la classe des Festuco-Brometea Braun-Blanq. & Tüxen ex Klika & Hadač 1944, issus de la bibliographie et de nos prospections. Les résultats de cette analyse nous ont conduites à effectuer une révision de ces pelouses car leur typologie n’était pas simple à appréhender, beaucoup d’associations étant proches floristiquement et synécologiquement. C’était le cas notamment du Campanulo glomeratae-Phleetum phleoidis Billy ex J.-M.Royer & Ferrez 2020 avec le Centaureo approximatae-Brachypodietum pinnati Billy ex Thébaud et al. 2014 ; ainsi que de l’Anemono rubrae-Dactylorhizetum sambucinae Dejou & Loiseau ex J.-M.Royer & Ferrez 2020, du Saxifrago granulatae-Helianthemetum nummularii Billy ex Loiseau & Felzines 2010 avec le Phleo phleoidis-Festucetum lemanii Billy ex Loiseau & Felzines 2010. Les résultats de cette révision conduisent à la caractérisation de 6 associations végétales dont une nouvelle, 11 sous-unités dont 2 nouvelles et 5 changements de statut. La hiérarchisation des variables écologiques discriminantes pour ces végétations, obtenue par DCA et CCA, la description de leur synécologie, leur synchorologie et leur caractérisation dynamique sont détaillées. Les facteurs écologiques les plus discriminants sont le gradient altitudinal et la nature géologique du substrat. L’étude diachronique a permis de constater l’importance de la profondeur du sol dans la dynamique de ces végétations, les pelouses sur sols squelettiques ou très peu profonds étant difficilement envahies par les fourrés, contrairement aux pelouses sur sol plus profond qui ont une dynamique beaucoup plus rapide. Il est donc primordial de bien identifier ces pelouses pour pouvoir établir un diagnostic adapté à la gestion de ces habitats d’intérêt Européen (6210).
Design, Fabrication and Performance Evaluation of a Motorized 2 – Row Soybean Planter for Small Scale Farmers in Katsina State
Authors: Y. Abubakar , O.I. Abdulbasit
Published: May 2023

A 2 – row soybean planter has been fabricated according the design specifications and field performance of the planter was evaluated on 0.5 ha (500 m2) plot of land on the college farm of Federal College of Education, Katsina. Five (5) levels of speed of operation (0.42 m/s, 0.56 m/s, 0.69 m/s, 0.83 m/s and 0.97 m/s) were used to evaluate performance of the fabricated planter. Results of performance evaluation of the fabricated planter reveal that 0.83 m/s speed of operation produces planting parameters with values that are very close to the recommended planting parameters of soybean TGX 1448 – 2E. Thus, indicating that 0.83 m/s is the best speed of operation of the fabricated planter with mean value of 24.72 kg/h seeding rate, 98.14 % uniformity of spacing, 78.05 % planting efficiency and 7 broken seeds per 100 seeds. The analysis of variance at P > 0.05 reveals that speed of operation has a positive effect on the seeding rate and field capacity; a negative effect on planting efficiency of the fabricated 2 – row soybean planter. Thus, seeding rate and field capacity increases with increasing speed while the planting efficiency decreases with increasing speed of operation. Functional performance test results indicate a significant relationship of the speed of operation with seeding rate, field capacity and planting efficiency of the planter where as uniformity of spacing and percentage damaged seeds are relatively un affected by the speed of operation of the planter.
Market Trends in Post Covid-19 Trades and Services
Authors: Chauhan Hemant
Published: May 2023

The rise of the digital economy as a major force in the expansion of the economy and the modernization of society is undeniable. Although digitalization enabled solutions to temporary needs like remote employment, distance learning, telemedicine, and e-commerce during the crisis, these developments have the potential to become permanent changes in the digital environment. If Europe were to catch up to the United Usa in digital or artificial intelligence technologies by 2030, the McKinsey Global Institute predicted that it would contribute €3.6 trillion to GDP. Funding (particularly for early financial investments), skills, and effective business models are the traditional digitalization entry obstacles (Offices of Science & Innovation, 2020). The COVID-19 problem has led to three major market shifts: The rapid rise of digitization in business and culture, the challenges and prospects of Industry 4.0, and the need of protecting personal data.
A Study of Student Satisfaction on Service Quality Servqual in Indian Management Education
Authors: Sweta Chauhan
Published: May 2023

The time has arrived to put more effort into improving the standard of higher education. The quality of all provided services and instruction must meet or exceed that of comparable institutions worldwide. The only way to prepare today's youth for tomorrow's workforce is to use innovative, technologically-based educational methods. The present study therefore examined a wide range of SERVQUAL model quality factors. Universities in India that provide degrees in business management have a low reputation for providing quality instruction. Previous research on evaluating service quality has been undertaken in both the engineering and humanities disciplines. The literature study, however, turned up zero studies that isolated business management degree programs in higher education. The present study addresses this gap in the literature by analyzing the interplay between several aspects of service quality and their collective influence on consumers' satisfaction. Results may be useful for stakeholders since they may help them better understand the challenges with service quality in terms of standard criteria and how this affects service quality generally. How effectively pupils are trained for the job and how far the school has come in terms of physical and intellectual facilities are also factors in this evaluation. Schools may maintain their competitiveness and long-term profitability by providing superior customer care and service, which is essential for attracting and keeping students.
A Study on Relationship between Knowledge Sharing and Specific Psychological Factors
Authors: Divya Punj
Published: May 2023

Organizational expenses can be reduced, new products can be developed, group dynamics can be improved, and competitiveness can be boosted via information sharing, as has been suggested. The urgent process of promoting information exchange inside a company. On a personal level, it might make you feel as if you've lost something precious. The promotion of fresh knowledge production and sharing is now one of the greatest difficulties faced by managers. Certain interpersonal variables hindering people' purpose and capacity to share information might lead even the most sophisticated knowledge and administration systems that companies employ to endorse knowledge sharing to fail. In this publication, the authors investigate the correlation between information sharing and a range of personality traits.
Effects of the Performance Review Process in Educational Institutions
Authors: Harish Kumar
Published: May 2023

An assessment system is crucial for the success of any organization. Each organization has its own system of assessment. In light of recent developments in the field of higher education, the performance appraisal (PA) system at universities and colleges has taken on new relevance. The performance evaluation system at universities is more flexible than that of most businesses. The potential of an evaluation system and its implementation in educational institutions were studied.
Deindustrialization, Gender, and Working-Class Militancy in Saint-Henri, Montréal
Authors: Burrill Fred
Published: May 2023

Tracing the history of gendered working-class responses to deindustrialization in the Montréal neighbourhood of Saint-Henri reveals that many of the local political initiatives of the 1960s and 1970s were connected to longer-term working-class efforts to navigate shifting patterns of capital accumulation extending back to the 1940s. The gendered tradition of territory-based organizing in this community encouraged women workers’ shop-floor militancy and was foundational for new forms of local political advocacy around issues like health care and housing. In deindustrialization’s moment, the concerns of a precariously employed, feminized working-class population spurred a crossover of industrial struggle with survival-focused reproductive labour issues, centred around a grassroots organization called the popir (Projet d’organisation populaire, d’information, et de regroupement). This pattern of gendered working-class militancy and solidarity persisted throughout the 1980s and shaped resistance to Saint-Henri’s subsequent gentrification at the turn of the new millennium.
A PCA-IGRU Model for Stock Price Prediction
Authors: Jingyang Wang Jingyang Wang , Jingyang Wang Daoqun Liu , Daoqun Liu Lukai Jin , Lukai Jin Qiuhong Sun , Qiuhong Sun Zhihong Xue
Published: May 2023

Accurate stock price prediction is significant for investors to avoid risks and improve the return on investment. Stock price prediction is a typical nonlinear time-series problem, which many factors affect. Still, too much analysis of influencing factors will lead to input redundancy and a large amount of computation in the model. Although the stock prediction model based on Recurrent Neural Network (RNN) has a good prediction effect, it has the problem of oversaturation. This paper proposes a prediction model of stock closing price based on Principal Component Analysis (PCA) and Improved Gated Recurrent Unit (IGRU), PCA-IGRU. PCA can reduce the redundancy of input information without destroying the correlation of original data, thus reducing the time of model training and prediction. IGRU is an improved Gated Recurrent Unit (GRU) model, which prevents oversaturation by introducing the Anti-oversaturation Conversion Module (ACM) and enhances the sensitivity of model learning. This paper selects the stock trading data of the Shanghai Composite Index (SCI) of China as experimental data. The PCA-IGRU is compared with seven baseline models. The experimental results show that the model has better prediction accuracy and shorter training time.

 
D2D Group Key Agreement Scheme for Smart Devices in HANs
Authors: Qingru Ma Qingru Ma , Qingru Ma Haowen Tan
Published: May 2023

The home area network (HAN) is one of the most widely researched areas in recent years. HANs integrate 5G/6G networks and artificial intelligence technology to provide data services for home users. The devices in HANs collect and transmit data relating to users’ daily activities for analysis by remote service providers. These data often contain a large number of users’ personal privacy. The disclosure of these data could have far-reaching consequences for the privacy of the individuals involved. Some researchers are dedicated to investigating the authentication of smart devices by the system. However, the increased frequency of interactions between devices and gateways, as well as between devices themselves, is a defining characteristic of HANs. In this paper, a device-to-gateway (D2G) authentication scheme is proposed. Based on the authentication result, a partial key is generated for smart devices and the gateway. Finally, a device-to-device (D2D) group key agreement scheme is presented. The security and efficiency of the proposed scheme are proved according to the analysis.

 
Design and Implementation of Efficient IoT Authentication Schemes for MQTT 5.0
Authors: Hung-Yu Chien Hung-Yu Chien , Hung-Yu Chien Pin-Ping Ciou
Published: May 2023

MQTT (Message Queue Telemetry Transport) is one of the most popular Internet of Things (IoT) communication protocols, owing to its lightweight and easiness to use. The previous MQTT standards (including version 3.1 and its precedents) do not provide proper security functions; instead, they assume the adoption of SSL/TLS in the underlying layer. However, it not only incurs larger overhead but also hinders the development of suitable authentication/confidentiality protection to suit various MQTT deployment scenarios. The newest MQTT standard called MQTT 5.0 responds to these challenges by supporting the Enhanced Authentication framework in which designers can design and implement any secure authentication mechanisms within the framework. This paper designs and implements two efficient authentication protocols, using the MQTT 5.0 Enhanced Authentication framework. One is simple challenge-response authentication scheme, and the other is an anonymous challenge-response authentication scheme. We extend HiveMQ platform to implement the schemes and evaluate the performance. The results show that the proposed schemes demand only hundred few more milliseconds to achieve much robust authentication, compared to the simple identity-password authentication.

 
An Energy Efficiency Based Secure Data Transmission in WBSN Using Novel Id-Based Group Signature Model and SECC Technique
Authors: C. Ramesh Kumar C. Ramesh Kumar , C. Ramesh Kumar T. Ganesh Kumar , T. Ganesh Kumar A. Hemlathadhevi , A. Hemlathadhevi D. R. Thirupurasundari
Published: May 2023

A wireless network composed of wearable sensing along with computing systems connected via a wireless communication channel is termed Wireless Body Sensor Network (WBSN). It enables continuous monitoring through sensors for medical and nonmedical applications. WBSN faces several security problems such as loss of information, access control, and authentication. As WBSN collects vital information and operates in an unfriendly environment, severe security mechanisms are needed in order to prevent the network from anonymous interactions. The different security threats are evaluated with the support of the data transmitted via the sensor networks amongst smart wearable devices. The whole network lifetime together with the Data Transmission (DT) quality is mitigated whilst performing DT utilizing sensor networks, which consume more energy. Hence, in this paper, an energy-efficient secure data transmission mechanism is proposed in WBSN using a novel authentication id-based group signature model and SECC technique. At first, the Group Manager (GM) is selected from the sensors in the remote body sensor system using Normalized Opposition Based Learning BAT Optimization Algorithm (NOBL-BOA). Afterward, clustering with Information Entropy induced K-Means Algorithm (IEKMA) takes place to improve energy efficiency. Next, to provide security to the WBSN, message authentication is carried out based on novel authentication ID-based group signature protocol. Finally, Secret key induced Elliptic Curve Cryptography (SECC) is used to encrypt the message for secure transmission. The simulation results reveal that in comparison with existing works, the proposed work achieves improved security and energy efficiency.

 
A New Device for Two-Way Time-Frequency Real-Time Synchronization
Authors: Ke Zhang Ke Zhang , Ke Zhang Decai Zou , Decai Zou Pei Wang , Pei Wang Wenfang Jing
Published: May 2023

The netted wireless sensor nodes or coherent accumulation processing in multistatic radar imaging requires high accuracy time synchronization. Although GNSS timing can also be used as a time synchronization method to serve the applications above, its timing accuracy will be limited. In this context, we present the hardware implementation for Two-Way Time-Frequency Real-Time Synchronization (TWTFRTS) with an automatic adaptive jitter elimination algorithm based on Kalman and PID, which is implemented in a real-time, low-cost, portable Xilinx ZYNQ device. A short (2 km) baseline TWTFRTS experiment was done with a pair of devices composed of a master device and a slave device. The result shows a high precision of time synchronization performance with the standard deviation (1 σ) better than 1 ns.

 
Irradiated Cities
Authors: Nagai Mariko Nagai
Published: May 2023

The before, the after, and the event that divides. In Irradiated Cities, Mariko Nagai seeks the dividing events of nuclear catastrophe in Japan, exploring the aftermath of the bombings at Hiroshima and Nagasaki and the nuclear meltdown at Fukushima. Nagai’s lyric textual fragments and stark black and white photographs act as a guide through these spaces of loss, silence, echo, devastation, and memory. And haunting each shard and each page an enduring irradiation, the deadly residue of catastrophe that leaks into our DNA.

Winner of the 2015 NOS Book Contest, as selected by guest judge lê thi diem thúy.