bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulating the seeder–feeder impacts on cloud ice and precipitation over the Alps
Authors: Dedekind Zane , Proske Ulrike , Ferrachat Sylvaine , Lohmann Ulrike , Neubauer David 
Published: May 2024

Abstract. The ice phase impacts many cloud properties as well as cloud lifetime. Ice particles that sediment into a lower cloud from an upper cloud (external seeder–feeder process) or into the mixed-phase region of a deep cloud from cirrus levels (internal seeder–feeder process) can influence the ice phase of the lower cloud, amplify cloud glaciation and enhance surface precipitation. Recently, numerical weather prediction modeling studies have aimed at representing the ice crystal number concentration in mixed-phase clouds more accurately by including secondary ice formation processes. The increase in the ice crystal number concentration can impact the number of ice particles that sediment into the lower cloud and alter its composition and precipitation formation. In the Swiss Alps, the orography permits the formation of orographic clouds, making it ideal for studying the occurrence of multi-layered clouds and the seeder–feeder process. We present results from a case study on 18 May 2016, showing the occurrence frequency of multi-layered clouds and the seeder–feeder process. About half of all observed clouds were categorized as multi-layered, and the external seeder–feeder process occurred in 10 % of these clouds. Between cloud layers, ≈60 % of the ice particle mass was lost due to sublimation or melting. The external seeder–feeder process was found to be more important than the internal seeder–feeder process with regard to the impact on precipitation. In the case where the external seeder–feeder process was inhibited, the average surface precipitation and riming rate over the domain were both reduced by 8.5 % and 3.9 %, respectively. When ice–graupel collisions were allowed, further large reductions were seen in the liquid water fraction and riming rate. Inhibiting the internal seeder–feeder process enhanced the liquid water fraction by 6 % compared to a reduction of 5.8 % in the cloud condensate, therefore pointing towards the de-amplification in cloud glaciation and a reduction in surface precipitation. Adding to the observational evidence of frequent seeder–feeder situations, at least over Switzerland, our study highlights the extensive influence of sedimenting ice particles on the properties of feeder clouds as well as on precipitation formation.
A major midlatitude hurricane in the Little Ice Age
Authors: Dickie John , Wach Grant 
Published: May 2024

Abstract. An unusually severe hurricane (Louisbourg Storm) struck Nova Scotia, Canada, in 1757. Historic records describing storm conditions as well as damage to ships and coastal fortifications indicate an intensity beyond any modern (post-1851) Atlantic cyclones striking the same region, yet this storm struck during a cold climate period known as the Little Ice Age (LIA). Its track and timing coincided with a British naval blockade of a French fleet at Fortress Louisbourg during the Seven Years' War (1756–1763). This provides a unique opportunity to explore growing scientific evidence of heightened storminess in the North Atlantic despite a colder climate expected to suppress hurricane intensification but which research is increasingly showing to have supported North Atlantic storms of exceptional strength. Weather attributes extracted from the logs of naval vessels scattered by the Louisbourg Storm provided multiple hourly observations recorded at different locations. Wave height and wind force estimates at ship locations were compared to extreme storm surge heights calculated for Louisbourg Harbour and a shipwreck site south of Fortress Louisbourg. Comparing these metrics to those of modern analogues that crossed the same bathymetry reflects landfall intensity consistent with a powerful major hurricane. Historical records show this storm originated as a tropical cyclone at the height of hurricane season and intensified into the northern midlatitudes along the Gulf Stream. Its intensity at landfall is consistent with established seasonal climatological models where highly baroclinic westerlies driven by autumn continental cooling encounter intensifying north-tracking tropical cyclones fuelled by sea surface temperatures that peak in autumn. Stronger seasonal contrasts from earlier and colder continental westerlies in the Little Ice Age (LIA) may have triggered explosive extratropical transition from a large hurricane resulting in a more severe strike. It suggests that tropical cyclones lasting days to weeks and the conditions that generate them are likely masked by cooler historic mean annual to multi-decadal LIA climate reconstructions.
Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes
Authors: Tai Amos P. K. , Yung David H. Y. , Lam Timothy 
Published: May 2024

Abstract. The newly developed offline land ecosystem model Terrestrial Ecosystem Model in R (TEMIR) version 1.0 is described here. This version of the model simulates plant ecophysiological (e.g., photosynthetic and stomatal) responses to varying meteorological conditions and concentrations of CO2 and ground-level ozone (O3) based on prescribed meteorological and atmospheric chemical inputs from various sources. Driven by the same meteorological data used in the GEOS-Chem chemical transport model, this allows asynchronously coupled experiments with GEOS-Chem simulations with unique coherency for investigating biosphere–atmosphere chemical interactions. TEMIR agrees well with FLUXNET site-level gross primary productivity (GPP) in terms of both the diurnal and monthly cycles (correlation coefficients R2>0.85 and R2>0.8, respectively) for most plant functional types (PFTs). Grass and shrub PFTs have larger biases due to generic model representations. The model performs best when driven by local site-level meteorology rather than reanalyzed gridded meteorology. Simulation using gridded meteorology agrees well for annual GPP in seasonality and spatial distribution with a global average of 134 Pg C yr−1. Application of Monin–Obukhov similarity theory to infer canopy conditions from gridded meteorology does not improve model performance, predicting an increase of +7 % in global GPP. Present-day O3 concentrations simulated by GEOS-Chem and an O3 damage scheme at high sensitivity show a 2 % reduction in global GPP with prominent reductions of up to 15 % in eastern China and the eastern USA. Regional correlations are generally unchanged when O3 is present and biases are reduced, especially for regions with high O3 damage. An increase in atmospheric CO2 concentration of 20 ppmv from the level in 2000 to the level in 2010 modestly decreases O3 damage due to reduced stomatal uptake, consistent with ecophysiological understanding. Our work showcases the utility of this version of TEMIR for evaluating biogeophysical responses of vegetation to changes in atmospheric composition and meteorological conditions.
A Study on Domestic Energy Situation at different Altitudes of Himachal Pradesh
Authors: Lndra Mani  , Pradeep Kumar  , J.S. Panwar  
Published: May 2024

This paper presents energy availability and consumption pattern at three different altitudes in rural areas of Western Himalayas in Himachal Pradesh, India and explores the possibility of implementing efficient conversion of locally available resources of energy like fuel wood, agricultural residues and cow dung to assure proper energy supply. Energy data was collected from 90 households on different household activities and their source of energy. Among the conventional energy sources, the highest contribution was of electrical energy, which was to the tune 7% of the total energy consumption. The share of non-commercial energy sources accounted for 91% of the total available domestic energy in all the three altitudes. Out of total domestic energy, fuel wood contributed 79-87 per cent, 70%ofwhich was used for cooking.. Space and water heating consumed major portion of fuel wood in all the three altitudes. Although, the agricultural residues recorded second highest share in non commercial energy availability at all the three altitudes but in sharp contrast, to fuel wood their use was just 5 per cent in lew altitude, and almost negligible in other two altitudes. The efficient energy conversion technology like Modified Stoves (chullas) for cooking could save a highest of99.8 MJ/day/household and use of electric kettle (Biju/i Dekchi) and Back Boiler for water heating could save a highest of 80 MJ/day/household of fuel wood energy in high hills. Proper energy management could help ameliorating energy problem in hilly areas and may also save forest by reducing firewood consumption.
Clothing Design Style Recommendation Using Optimized Semantic-Preserved Generative Adversarial Network
Authors: Guannan Yang  
Published: May 2024

Recommendations for clothing design styles provide a tailored and efficient buying experience, decreasing consumers' decision fatigue and boosting interest. There are a number of obstacles to implementing clothing design style recommendations, including the requirement for diverse and accurate data to train efficient algorithms, the possibility of biases in recommendation systems, the complexity of comprehending subtle customer preferences, and the ever-changing nature of fashion trends. To overcome this complication, Clothing Design Style Recommendation Using Optimized Semantic-Preserved Generative Adversarial Network (ICMA-SPGAN-SFOA-CD) are proposed. Initially, the images collected from the clothing dataset are given as input. Afterward, the data are fed to pre-processing. In pre-processing, Reverse Image Filter (RIF) is used for redundant of data and noise removal. The pre-processing output is fed to Pyramidal Convolution Shuffle Attention Neural Network (PCSANN) for clothing design style recommendation. The recommended clothing design style was given for classification using Semantic-Preserved Generative Adversarial Network (SPGAN) optimized with Sheep Flock Optimization Algorithm (SFOA)for classifying clothing design style as Basic clothing, Looseness Season for clothing, Collar type, Colour and Advanced clothing . MATLAB is used to implement the proposed ICMA-SPGAN-SFOA-CD method. The performance of the proposed ICMA-SPGAN-SFOA-CD approach attains 25%, 21.5%, and 22.5% high precision,25.3%, 27.5%, and 21.8% high recall and 27.6%, 24.8%, and 23.2% high F1-Scorecompared with existing methods such as RCNN Framework Using L-Softmax Loss (CAR-RCNN-LSL) ,Clothing Attribute Recognition Based on Clothing fashion style recognition with design issue graph (CFSR-DCNN-DIG), Personalized Smart Clothing Design Based on Multimodal Visual Data Detection (PSCD-DNN-MVDD) models respectively.
Intelligent Analysis of E-commerce Reviews based on Complex-Valued Spatio-temporal Graph Convolutional Neural Network Optimized Tyrannosaurus Optimization Algorithm
Authors: Ting Chen  
Published: May 2024

Intelligent analysis of E-commerce reviews based on multimodal social media big data using applies the benefit of innovative artificial intelligence method, especially deep learning algorithms, to study and realize web-based product consider and social network data connected to e-commerce. In this manuscript, Intelligent Analysis of E-commerce reviews based on Complex-Valued Spatio-temporal Graph Convolutional Neural Network Optimized Tyrannosaurus Optimization Algorithm (IAER-CVSGCNN-TOA)is proposed for Intelligent Analysis of E-commerce Reviews. The input data are collected from E-commerce big Dataset. Then data are pre-processing utilizing federated neural collaborative filtering (FNCF) to remove the noise and clean the data. The pre-processed data is provided to the CVSGCNN is used for intelligent analysis of e-commerce reviews. In general, CVSGCNN does no express adapting optimization approaches to determine optimal parameters to ensure accurate prediction. Hence, proposed to utilize the Tyrannosaurus Optimization Algorithm enhancement CVSGCNN for intelligent analysis of e-commerce reviews. The proposed IAER-CVSGCNN-TOA method is implemented on python. Then performance of proposed technique is analyzed with other existing techniques. The proposed technique attains 30.26%, 28.70% and 46.25% higher accuracy, 20.53%, 32.60%, and 53.43% higher precision, 25.23%, 23.15%, and 22.33%higher recall, 25.75%, 44.30% and 53.70%higher specificity comparing with the existing methods such as a Retracted: Online Troll Reviewer Detection Utilizing Deep Learning Methods (IAER-CNN), Developing an Intelligent System and DL Algorithms for Sentiment Analysis of E-Commerce Product Reviews(IAER-LSTM), Intelligent Perception System of Big Data Decision in Cross-Border e-Commerce Depend on Data Fusion(IAER-DFN) respectively.
Alternating Optimization Algorithms for Hybrid beamforming in mm wave MIMO systems
Authors: Srinivasa Rao Reddi  
Published: May 2024

Millimeter wave (mmWave) interchanges has been viewed as a critical empowering innovation for 5G organizations, as it offers significant degrees more noteworthy range than current cell groups. As opposed to traditional various info numerous output (MIMO) frameworks, precoding in mmWave MIMO unable to performed completely at baseband utilizing computerized precoders, as just a predetermined no. of sign blenders and Analog to-digital converters (ADCs) can be upheld thinking about their expense and power utilization. Hybrid precoding transceiver design, joining a digital precoder and analog precoder, has as of late gotten impressive consideration. Nonetheless, the ideal plan of such half breed precoders has not been completely perceived. In this paper, treating the hybrid precoder plan as a lattice factorization issue, alternating minimization (AltMin) calculations will be proposed for two different half and half precoding structures, i.e., the completely associated what's more, somewhat associated structures. Specifically, for the fully connected structure, an AltMin calculation in view of complex advancement is proposed to move toward the exhibition of the completely computerized precoder, which, notwithstanding, has a high intricacy. Subsequently, a low-intricacy AltMin calculation is then proposed, by implementing a symmetrical limitation on the computerized precoder. Besides, for the to some degree associated structure, an AltMin calculation. Be that as it may, the ideal plan of is additionally evolved with the assistance of semidefinite unwinding. For commonsense execution, the proposed AltMin algorithms are additionally stretched out to the broadband setting with symmetrical recurrence division multiplexing (OFDM) adjustment. Recreation results will show critical execution gains of the proposed AltMin calculations over existing half breed precoding calculations. In addition, in light of the proposed calculations, recreation correlations between the two mixture precoding designs will give significant plan experiences.
GRU-RNN Model to Analyze and Predict the Inflation by Consumer Price Index
Authors: Jitendrasinh Jamadar  
Published: May 2024

The general population need data on the expected rate of inflation for educational expenses to plan for and manage family budgets. When formulating educational policy, this data is also useful for the government. Chennai serves as one of Indonesia's educational hubs, yet there is a lack of publicly accessible data on the city's inflation rate for education expenses. Furthermore, there is a lack of prior studies on forecasting that specifically used the Education Expenditure Group's Consumer Price Index (CPI) information to determine inflation rates in education prices utilizing the Deep Learning approach. The goal of this study is to utilize the Deep Learning Method to create a model that can predict how much tuition will rise in Chennai. The Education Expenditure Group in Chennai relied on Consumer Price Index (CPI) information for its study. An improvement in the Long and Short-Term Memory (LSTM) and Recurrent Neural Network (RNN), approach is used for predicting purposes. A method with four hidden nodes and a single hidden layer produced the best results, with RMSE=8.38 and MAPE=2.8766%.
WADITRA JUNGGA PADA MASYARAKAT KAMBERA, KABUPATEN SUMBA TIMUR, NUSA TENGGARA TIMUR
Authors: Kabnani Jefri , Salau Triati Lestari , Iswanto Iswanto , Lakapu Luisa 
Published: May 2024

Penelitian ini mengkaji waditra Jungga pada masyarakat Kambera, kabupaten Sumba Timur, Nusa Tenggara, Timur. Etnomusikologi menjadi dasar teoritis dalam penelitian ini. Hasil penelitian menunjukkan bahwa Jungga merupakan alat musik tradisional asal Sumba Timur yang dimainkan dengan cara dipetik. Jungga di Sumba ada beberapa macam yaitu jungga dua dawai, empat dawai dan enam dawai. Pada jungga enam senar berpola double string ‘setiap dawai rangkap’. Alat musik jungga Sumba Timur pertama kali masuk di daerah Kecamatan Kambera. Jungga merupakan alat musik yang melekat pada budaya Sumba yaitu marapu, sehingga jungga dikultuskan baik dari pembuatannya hingga cara, waktu dan tempat memainkannya. Representasi budaya masyarakat Sumba juga tergambar dalam syair lagu yang diiringi dengan jungga. Salah satu contoh lagu kerja panen Anda Mara ‘jalan yang benar’ menggambarkan budaya asli merapu dalam lagu dan iringan waditra jungga. Komunitas adat pada suku bangsa Sumba yang terdapat di Pulau Sumba yang dikenal dengan kepercayaan Marapu ini tersebar diseluruh wilayah Pulau Sumba.
Dois Amores
Authors: Vieira Júlia França Sales , Ranuci Maria Eduarda Alves , Selvatici Mônica 
Published: May 2024

Este trabalho tem como objetivo trazer um estudo sobre as Tríbades, nomenclatura utilizada durante a Roma Antiga para designar relações amorosas entre mulheres no Império Romano, com o intuito de apresentar a forma na qual as relações homoeróticas femininas eram interpretadas, assim como também as diferenças de seu tratamento pela sociedade em comparação com as relações homoeróticas masculinas, e através do auxílio da obra Amores de Luciano de Samósata, na qual sua história, contemporânea do período que é objetivado neste trabalho, retrata as ideias e costumes da época perante o assunto, nos ajudará a conclusão deste estudo.
Transesterificación y epoxidación del aceite de coco
Authors: Gilces Zambrano Eduardo Patricio , Moreira Mendoza Karen Estefanía , García Muentes Segundo Alcides , Cevallos Cedeño Ramón Eudoro , García Bowen Ariana Milena 
Published: May 2024

Debido al avanzado incremento demográfico en el mundo, la contaminación y el aumento gradual del precio del petróleo por el agotamiento de las reservas naturales, provoca pensar y actuar de manera inmediata ante una solución para reemplazar dicho combustible en opciones rentables, productivas y amigables con el planeta; como lo es el biodiesel a partir de grasas animales y vegetales por medio de la transesterificación. También se prueban dichas materias primas en la epoxidación de la cual se obtienen productos como: elementos intermediarios para la producción de poliuretanos, lubricantes, cosméticos o bien como estabilizadores de PVC. Este artículo presenta una revisión bibliográfica ante similares estudios y demostración a escala de laboratorio, donde se comprobó que el aceite de coco cumplió con la mayoría de los parámetros de la norma NTE INEN 24:1973 a excepción del porcentaje de acidez y humedad, haciéndolo óptimo para procesos de transesterificación y epoxidación respectivamente, cumpliendo también con la mayoría de los parámetros de la norma NTE INEN 2482:2009 a excepción del índice de yodo, siendo éste apto para el uso de energía alternativa. En cuanto a la epoxidación los valores variaron considerablemente categorizándolo en el grado 5 de viscosidad ISO para lubricante.
The Sacroiliac Joint Fusion Patient Population and Its Prevalence of Total Hip Arthroplasty
Authors: Haselhuhn Jason J. , Kress Dustin J. , Whyte Morgan M. , Soriano Paul Brian O. , Polly David W. 
Published: May 2024

Introduction:
The prevalence of sacroiliac joint (SIJ) pathology generating lower back pain is increasing, often requiring SI joint fusion in refractory cases. Similarly, total hip arthroplasty (THA) is an increasing procedure in the older growing population. Prior SIJ fusion in patients undergoing THA has increased hip dislocation. This study aims to determine the prevalence of preexisting THA in SIJ fusion patients at our institution.

Methods:
After institutional review board approval, we completed a retrospective review of consecutive SIJ fusion cases performed by fellowship-trained orthopaedic spine surgeons between October 2019 and June 2022. The senior surgeon reviewed pelvis radiographs to determine whether a THA was present. Patient demographics, surgical history, SIJ fusion date, and laterality information from study participants' medical records were collected and analyzed.

Results:
We screened 157 consecutive cases and excluded 45 not meeting the inclusion criteria. One hundred twelve radiographs were reviewed, with seven additional patients excluded. The final analysis consisted of 105 patients (33M:72F). The mean age was 50.4 ± 13.8 years, and the mean body mass index was 29.1 ± 6.1 kg/m2. SIJ fusion laterality included 51 right (48.6%), 44 left (41.9%), and 10 bilateral (9.5%). One patient (0.95%) had a preexisting right THA, and two patients (1.9%) underwent ipsilateral THA after SIJ fusion.

Conclusions:
This study demonstrated a low prevalence (0.95%) of preexisting THA in SIJ fusion patients at our institution, similar to the THA prevalence of the total US population. Additional research is needed to determine the outcomes of patients with preexisting THA undergoing SIJ fusion.
OCORRÊNCIA DE DESASTRES TECNOLÓGICOS E SUA RELAÇÃO COM A VALIDADE DO CERTIFICADO DE APROVAÇÃO DO CORPO DE BOMBEIROS
Authors: Breder Alexandre Diniz , Lobosco Amanda Almeida Fernandes , Lobosco Dacy Câmara , Vieira André Luiz Faria , Oliveira Felipe de Souza , Lugão Bruno Carlos , Monteiro Ana Cláudia Moreira , Santos Janaína Luiza dos 
Published: May 2024

Este artigo aborda a falta de validade do certificado de aprovação do Corpo de Bombeiros e sua colaboração para a vulnerabilidade industrial. Justifica-se pela necessidade de discutir as possibilidades legais de inserção da validade no referido certificado, melhorando a segurança dos locais de aglomeração de pessoas, seja este industrial ou não. Os objetivos foram: pesquisar sobre a validade do certificado de aprovação e enumerar os riscos decorrentes da falta de atualização da estrutura industrial. Trata-se de pesquisa bibliográfica, cujas fontes foram artigos científicos, livros, sites indexados e governamentais, leis e normas. Os dados foram analisados através de processo de análise de conteúdo. Conclui-se que as indústrias que utilizam produtos perigosos têm potencial poluidor, trazendo sérios riscos ao meio ambiente, ao trabalhador, e para população. O desastre tecnológico tem uma possibilidade maior de ser minimizado caso o risco seja avaliado e identificado, assim a falta do prazo de validade do certificado de aprovação pode aumentar o risco de desastre industrial e de outros estabelecimentos, levando em conta a necessidade de adequação da estrutura para se manter a segurança das instalações.