bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient Object-Level Semantic Mapping with RGB-D Cameras
Authors: Zhou Benchun , Furmans Kai , Fu Yunxiang , Pang Hao 
Published: June 2023

Abstract

To autonomously navigate in real-world environments, mobile robots require a dense map to guarantee safety, such as a 3D occupancy map. However, this map lacks semantic information for scene understanding. On the other hand, semantic objects can be introduced to the map with the help of deep neural networks, but they may suffer from critical run-time issues due to heavy processing components. In this paper, we present an efficient semantic mapping system to incrementally build a voxel-based map with individual objects. Firstly, a frame-wise object segmentation scheme is adopted to segment 3D objects from RGB-D images. Then, a new object association strategy with geometry and semantic descriptor is proposed to track and update object information, Finally, these objects are integrated into a CPU-based voxel mapping approach to incrementally build a global object-level volumetric map. Experiments on publicly available indoor datasets show that the proposed system achieves a good semantic mapping performance. Besides, our method outperforms other object-level mapping algorithms in terms of segmentation results and computational efficiency. Furthermore, the system is evaluated within a logistical robotic platform to demonstrate the use case in real-world applications.
Adaptive Hybrid Ensemble Method for Accelerate Adaptation of Concept Drift
Authors: Wang Wenjian , Guo Husheng , Zhang Yutong , Sun Ni 
Published: June 2023

Abstract
Because the insufficient new distribution training samples after concept drift occurs in streaming data, the performance of online learning model degrades and cannot quickly recover. Therefore, an adaptive hybrid ensemble method for accelerate adaptation of concept drift(AHE\_A$^2$CD) is proposed. After concept drift occurs, the proposed method extracts local information from the streaming data through the weighted base classifiers located in the classifier pool. The local information is supplemented into the current data block through expanding the data to make up for the lack of current distribution data after concept drift occurs and to build an efficient local base learner that conforms to the current data distribution. On this basis, the key data information at different stages is extracted by local base learner, and the current data is adaptively selected by the data distribution to construct diverse global base learner. Through the hybrid ensemble of the high-performance local base learner and the diverse global base learner, this method can adaptively learn the changing streaming data and improve the adaptability after concept drift occurs. Experimental results show that this method can accelerate the convergence of the online learning model after concept drift occurs and improve the real-time performance of streaming data classification.
Quantitative analysis of Cu(II)-induced deterioration effects on barrier performance of soil-bentonite slurry
Authors: ZHA Fusheng , QIN Hao , XU Long , SHEN Yinbin , KANG Bo , WU Yuzhao 
Published: June 2023

Abstract
The soil-bentonite (SB) slurry-based barrier technology was successfully used to isolate the heavy metal contaminants at sites. While the heavy metal-induced deterioration effects arouse the urgent need for assessment of the barrier performance. In this study, experimental investigation and theoretical work were performed for quantitative analysis of the deterioration effects. Test results showed that incorporating and increasing the bentonite content in SB slurry could decrease the hydraulic conductivity and increase the contaminant retention of the barrier system. However, after experiencing the Cu(II) contamination, this barrier performance would be rapidly deteriorated and failed to meet the requirement for isolating the contaminated site, especially for Cu(II) concentrations higher than 500mg/L. On this basis, two deterioration parameters were successfully proposed for quantitative analysis of this deterioration effect from the viewpoints of hydraulic conductivity and contaminant retention. In further step, an optimal design method of a barrier system was established and confirmed using the proposed deterioration parameters, for a given service life of barrier system and Cu(II) concentration at contaminated site.
The List of Questionable Journals: Is It Trustworthy?
Authors: Tang Gengyan , Peng Jingyu 
Published: June 2023

Abstract
The list of questionable journals serves to stratify academic journals, distinguishing between good and bad journals, thereby providing a basis for academic information filtering and research evaluation. The formulation of such lists has been a topic of controversy in the literature, with limited attention paid to whether the criteria used to stratify journals in these lists can be trusted. In this study, we take the example of the warning journal list published by the National Science Library of the Chinese Academy of Sciences and categorize the journals based on their warning levels and warning years. Then, we compare them to determine if there are differences in key academic indicators, thereby analyzing whether the journal lists effectively identify academic journals with quality risks. Our study found that the patterns of differences in key academic indicators among different journal stratums were not consistent, and the same inconsistency was observed during the mobility between stratums. Furthermore, citation metrics such as Journal Impact Factor and Journal Citation Indicator may not have been considered as criteria for stratifying journals in the warning journal list, but this lack of detailed explanation from the creators. This indicates that the list of questionable journals needs to be more scientifically evaluated, and there is a greater need for sharing detailed criteria and data. Our study also provides recommendations for institutions in the future when formulating lists of questionable journals.
Criterion for the resemblance between the mother and the model distribution
Authors: Sheena Yo 
Published: June 2023

Abstract
If the probability distribution model aims to approximate the hidden mother distribution, it is imperative to establish a useful criterion for the resemblance between the mother and the model distributions.
This study proposes a criterion that measures the Hellinger distance between discretized (quantized) samples from both distributions. Unlike information criteria such as AIC, this criterion does not require the probability density function of the model distribution, which cannot be explicitly obtained for a complicated model such as a deep learning machine. Second, it can draw a positive conclusion (i.e., both distributions are sufficiently close) under a given threshold, whereas a statistical hypothesis test, such as the Kolmogorov-Smirnov test, cannot genuinely lead to a positive conclusion when the hypothesis is accepted.
In this study, we establish a reasonable threshold for the criterion deduced from the Bayes error rate and also present the asymptotic bias of the estimator of the criterion. From these results, a reasonable and easy-to-use criterion is established that can be directly calculated from the two sets of samples from both distributions.
MSC(2010) Subject Classification: Primary 60F99, Secondary 62F12
Crime Concentration and Hot Spot Dynamics: An Examination of Homicides in Santa Fe, Argentina
Authors: Hoet Mariano Javier 
Published: June 2023

Abstract

This study aimed to facilitate a general understanding of the spatial concentration of crime in Latin America. Thus, the spatial concentration of homicides committed in the Argentine city of Santa Fe between 2001 and 2020 was examined. In addition, this study examined the temporal stability of the concentration and trajectories of the identified hot spots. The results were contrasted with the “law of crime concentration” proposed in a previous study and with the results of other studies on crime concentration conducted in the region of Latin America. The findings suggested that homicides committed in the city of Santa Fe were spatially concentrated and that their concentration levels had remained stable over the years. Although two-thirds of the microunits did not experience homicides during the analysis period (2001–2020), a disproportionate number of homicides occurred in a small group of microunits. The study findings will prove useful in decision-making regarding place-based crime prevention strategies.
Rethinking resilience using the r-factor:
Neurobiological mechanisms of static and dynamic components of resilience following trauma
Authors: Rooij Sanne van , Santos Justin , Hinojosa Cecilia , Ely Timothy , Harnett Nathaniel , Murty Vishnu , Lebois Lauren , Jovanovic Tanja , House Stacey , Bruce Steven , Beaudoin Francesca , An Xinming , Neylan Thomas , Clifford Gari , Linnstaedt Sarah , Germine Laura , Bollen Kenneth , Rauch Scott , Haran John , Storrow Alan , Lewandowski Christopher , Musey Paul , Hendry Phyllis , Sheikh Sophia , Jones Christopher , Punches Brittany , Swor Robert , Pascual Jose , Seamon Mark , Harris Erica , Pearson Claire , Peak David , Merchant Roland , Domeier Robert , Rathlev Niels , O'Neil Brian , Sanchez Leon , Joorman Jutta , Pizzagalli Diego , Sheridan John , Harte Steven , Kessler Ronald , Koenen Karestan , McLean Samuel , Ressler Kerry , Stevens Jennifer 
Published: June 2023

Abstract
Resilience is a dynamic process of recovery after trauma, but in most studies it is conceptualized as the absence of specific psychopathology following trauma. Using the large emergency department AURORA study (n=1,865, 63% women), we took a longitudinal, dynamic and transdiagnostic approach to define a static resilience (r) factor, that could explain >50% of variance in mental wellbeing 6-months following trauma, and a dynamic r-factor, which represented recovery from initial symptoms. We assessed its neurobiological profile across threat, inhibition, and reward processes using fMRI collected 2-weeks post-trauma. Our neuroimaging results suggest that resilience is promoted by activation of higher-level cognitive functioning and salience network regions in response to reward, whereas resilience is hampered by top-down attention and default mode network activation to threat and reward. These findings serve to redefine the concept of resilience as both dynamic and multifaceted, and identify mechanisms that promote resilience after trauma for early interventions.
Key Enablers to Boost Digital Health Solutions in Latin America
Authors: Morán-Reséndiz Regina , Ruiz-Arias Catalina 
Published: June 2023

Background
COVID-19 has exposed the fragility of global health systems. However, the pandemic is perceived to have boosted the use of technology and accelerated digital health solutions (DHS). In Latin America, DHS can increase accessibility and provide more efficient health services. Various key players have relevant roles for innovation within the health care systems. For this study, we focused on health-tech start-ups (developers) and health care providers (implementers) who can cocreate and develop new health care solutions.

Objective
This research aimed to explore the aspects that boost innovation in the health care ecosystem in Latin America, based on the 5 key aspects of the Innovation Readiness Levels: market, technology, organization, partnerships, and risk.

Methods
For this research, a qualitative study was conducted using the 5 key aspects of the Innovation Readiness Levels. Two types of organizations were selected: health-tech start-ups (developers) and health care providers (implementers). A total of 12 professionals from Latin America were interviewed. For each interview, quotes related to the 5 aspects were selected and subclustered to find relationships.

Results
Based on the discovered relationships, 7 aspects to boost DHS in Latin America were identified: agility to respond, facilitating collaboration, building and sharing knowledge, creating user-centered solutions, economic resources and sustainability, ease of technological development and adoption, and reaching beyond hospitals. The first 4 aspects could apply to other regions outside Latin America. The last 3 are related to regional challenges in Latin America. Obstacles and calls to action were identified for each aspect.

Conclusions
To boost DHS in Latin America, it is necessary to have a complete overview of the patient’s journey and consider all the users involved to understand their needs and identify opportunities to develop new solutions. This will contribute to the improvement of health solutions and patient outreach. Future research is suggested to develop a better understanding of these aspects in the Latin American countries that were not included in this research and to validate whether these are the only key aspects needed.

Conflicts of Interest
None declared.
News Coverage of Face Masks in Australia During the Early COVID-19 Pandemic: Topic Modeling Study
Authors: Dasgupta Pritam , Amin Janaki , Paris Cecile , MacIntyre C Raina 
Published: June 2023

Background
During the COVID-19 pandemic, web-based media coverage of preventative strategies proliferated substantially. News media was constantly informing people about changes in public health policy and practices such as mask-wearing. Hence, exploring news media content on face mask use is useful to analyze dominant topics and their trends.

Objective
The aim of the study was to examine news related to face masks as well as to identify related topics and temporal trends in Australian web-based news media during the early COVID-19 pandemic period.

Methods
Following data collection from the Google News platform, a trend analysis on the mask-related news titles from Australian news publishers was conducted. Then, a latent Dirichlet allocation topic modeling algorithm was applied along with evaluation matrices (quantitative and qualitative measures). Afterward, topic trends were developed and analyzed in the context of mask use during the pandemic.

Results
A total of 2345 face mask–related eligible news titles were collected from January 25, 2020, to January 25, 2021. Mask-related news showed an increasing trend corresponding to increasing COVID-19 cases in Australia. The best-fitted latent Dirichlet allocation model discovered 8 different topics with a coherence score of 0.66 and a perplexity measure of –11.29. The major topics were T1 (mask-related international affairs), T2 (introducing mask mandate in places such as Melbourne and Sydney), and T4 (antimask sentiment). Topic trends revealed that T2 was the most frequent topic in January 2021 (77 news titles), corresponding to the mandatory mask-wearing policy in Sydney.

Conclusions
This study demonstrated that Australian news media reflected a wide range of community concerns about face masks, peaking as COVID-19 incidence increased. Harnessing the news media platforms for understanding the media agenda and community concerns may assist in effective health communication during a pandemic response.
PREPARATION AND IN VITRO EVALUATION OF NAPROXEN AS A pH SENSITIVE OCULAR IN-SITU GEL
Authors: DAWOOD BAYDAA Y. , KASSAB HANAN J. 
Published: June 2023

Objective: The aim of this study was to prepare and evaluate a pH sensitive ocular in-situ gel of Naproxen, to increase the ocular residence time.
Methods: pH sensitive in situ gel formulations were prepared using different concentrations of Carbomer CB [0.5%, 0.6%, 0.7%] in combination with hydroxypropyl methylcellulose HPMC K40 [0.75%, 1%, 1.5%] or HPMC K100 [0.5%, 0.75%, 1%, 1.5%]. The prepared in situ gels were evaluated for appearance, pH, gelling capacity [sol-to-gel transition/in vitro], tonicity, viscosity, in vitro release studies, release kinetic analysis, and the selected formulas were subjected to rheological studies, and the finally selected formula was subjected to drug content, FT-IR studies, and ocular irritancy tests.
Results: Increasing the concentration of the carbomer polymer improved the gelling capacity and gelation time, also the higher the viscosity and concentration of the hydrophilic HPMC polymer, the higher the viscosity of the formula, which affected the release, gelation capacity and time. The overall results showed that formula F10 [CB 0.7%, HPMC K100 0.75%] exhibited excellent pH-triggered in-situ gelation time, sustained the release of naproxen for 3 h’ time with a release rate of more than 90%.
Conclusion: Ocular in situ gel of naproxen offers a potential dosage form to increase the residence time in the ocular cul de sac, decreasing the drug drainage, and increasing the effectiveness of the drug.
Is the omega ratio a good portfolio optimization criterion?
Authors: Samaniego Alcántar Angel 
Published: June 2023

<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p class="Cuerpo">The Omega ratio has been widely used in the literature to optimize and search for good performance in investment portfolios. It considers both the downside and upside potential of the portfolio with respect to a predetermined threshold, which can be fixed or time varying. Mixed results have been obtained in different markets and periods. And when combined with other performance or risk measures, its results can be improved. The proposed model restricts the omega ratio to a value of less than 470, a maximum investment in each asset of 15%, with a target annual return equal to the return of the Dow Jones Industrial Average (DJIA) among the assets that make up the index. In the study period (2000-2020, rolling window with annual return per day) there is a 64% probability of outperforming the DJIA with an appraisal of 2.36, higher than the other models used (Upside potential, Downside potential, semi-variance and unconstrained Omega).</p></div></div></div></div>
Pengaruh Kualitas Pemandu Wisata Lokal Terhadap Tingkat Kepuasan Wisatawan
Authors: Nandika I Kadek , Koeswiryono Dika Pranadwipa , Praminatih Gusti Ayu 
Published: June 2023

Pemandul wisata memiliki peran penting sebagai garda terdepan pada sektor pariwisata karena menyangkut pada kualitas pelayanan dan citra pariwisata. Penelitian ini memiliki tujuan untuk menganalisis kualitas pemandur wisata terhadap tingkat kepuasan wisatawan di Turtle Conservation and Education Centre dengan indikator kualitas pemandu wisata yaitu professional competence interpersonal skills, organizational skills dan emphaty. Metode penelitian yang digunakan pada penelitian ini adalah mix methods yang mengkombinasikan metode kuantitatif dengan metode kualitatif. Alat penelitian berupa kuisioner dengan teknik sampling accidental sampling kepada 100 orang responden dan wawancara kepada 7 wisatawan Hasil penelitian dari penelitian ini menunjukkan adanya pengaruh positif dan signifikan dari kualitas pemandu wisata terhadap kepuasan wisatawan di Turtle Conservation and Education Centre.

Tour guides have an essential role on the front lines of the tourism sector because it involves the quality of service and the tourism image. This study aims to analyze the quality of tour guides level of tourist satisfaction. at the Turtle Conservation and Education Center with indicators of the quality of the tour guides, such as professional competence, interpersonal skills, organizational skills, and empathy. The research method used in this study was a mixed method that combined quantitative and qualitative methods. The research tool was a questionnaire with an accidental sampling technique, a sampling of 100 respondents, and seven interviews with tourists. This study's results indicated a positive and significant influence on the quality of tour guides and tourist satisfaction at the Turtle Conservation and Education Center.
Evaluación del desempeño productivo y las reacciones metabólicas de ovinos de ceba alimentados con Brachiaria spp, en el trópico bajo de Colombia, al darles suplementos alimenticios
Authors: Roa Vega María Ligia , Navarro Ortiz Cesar Augusto 
Published: June 2023

Contextualización: los sistemas de producción animal en Colombia se caracterizan por la deficiente disposición y calidad de forrajes, en zonas como el piedemonte llanero, debido a las condiciones edafológicas y climáticas de estas zonas .
Vacío de conocimiento: el alimento principal de los ovinos es el pasto, pero múltiples factores interfieren en el aprovechamiento y calidad de nutrientes de este. Por eso se requiere investigar al respecto y determinar cuáles son los suplementos adecuados para complementar los requerimientos nutricionales del animal, y por ende mejor su desempeño productivo.
Propósito: analizar el aporte nutricional de un suplemento alimenticio con Brachiaria spp. a la dieta de ovinos en pastoreo, evaluando el desempeño productivo y bioquímica sanguínea de estos.
Metodología: el diseño fue completamente al azar y con prueba de comparación de Tukey. Se utilizaron 12 ovinos, resultados del cruce entre ovinos criollos y de la raza Pelibuey, con un peso promedio de 20.05 ± 1.0 kg. La alimentación de los animales consistió en pasto, adicionado con Brachiaria spp., y una suplementación con 100 g de alimento balanceado comercial. Los tratamientos aplicados fueron: T1: 600 g de ensilado de maíz [EMA], T2: 200 g EMA y 100 g palmiste, T3: 400 g EMA y 100 g de salvado de trigo y T4: 400 g EMA + 200 g de ensilado de Tithonia diversifolia. Se analizó la calidad química de los alimentos suministrados y del suelo donde pastoreaban los animales. Las variables evaluadas fueron: ganancia de peso, consumo de alimento, eficiencia y conversión alimenticia, coeficiente de eficiencia proteica y bioquímica sanguínea.
Resultados y conclusiones: en T2 se obtuvo la menor [P < 0.05] ganancia diaria de peso y peso final, con relación a T1 [234.4 g y 33.6 kg Vs 263.6 g y 36.3 kg respectivamente], así como el menor consumo de materia seca [1678.1 g Vs 1815.8 g respectivamente]. Los demás tratamientos tuvieron un comportamiento similar [P > 0.05] en el consumo total de materia seca y proteína. Las concentraciones séricas de proteína, albúmina, glucosa, colesterol, triglicéridos y calcio fueron similares [P > 0.05] antes y después de los tratamientos, mientras que la concentración sérica de magnesio, después de la suplementación, fue superior [P < 0.05] en T4 con relación a T1 y T2. Los suplementos como EMA, palmiste, salvado de trigo y ensilado de botón de oro tienen un efecto positivo en ovinos de ceba alimentados con pasto y Brachiaria spp. en lo referente a consumo de materia seca, aumento de peso y conversión alimenticia.