bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization-Based Prediction Uncertainty Qualification of Climatic Parameters
Authors: Nourani Vahid , Sayyah-Fard Mina , Kantoush Sameh A. , Bharambe Khagendra P. , Sumi Tetsuya , Saber Mohamed 
Published: July 2023

Abstract
Point predictions of hydroclimatic processes through nonlinear modeling tools are associated with uncertainty. The main goal of this research was to construct prediction intervals (PIs) for nonlinear artificial neural network (ANN)-based models of evaporation and the standardized precipitation index (SPI). These are two critical indicators for climate for four stations in Iran (i.e., Tabriz, Urmia, Ardabil, and Ahvaz) to qualify their predicted uncertainty values (UVs). We used classical techniques of bootstrap (BS), mean variance estimation (MVE), and Delta, as well as an optimization-based method of lower upper bound estimation (LUBE), to construct and compare the PIs. The wavelet-based denoising method was also adopted to denoise input data, enhancing the modeling performance. The obtained results indicate the ability of the BS and LUBE methods to estimate the uncertainty bound. The Delta method mostly failed to find the desired coverage due to its narrow PIs. On the other hand, the MVE method, due to its wide bound, did not convey valuable information about uncertainty. According to the obtained results, denoising the input vector could enhance the PI quality in the modeling of the SPI by up to 76%. It was more prominent than reducing the UV for evaporation models, which was observed the most at the Ardabil station, up to 30%. The inherently more random nature of drought than the evaporation process was interpreted as the cause of this reaction. From the results, Urmia station seems the riskiest regarding drought ventures.

Significance Statement
The point predictions of evaporation and precipitation (in the form of SPI) are subject to uncertainty. The best way is to provide an area with the highest contingency as a prediction interval. The reduction in the width of such an interval leads to increased confidence in explaining and predicting these processes. We investigated different methods and found that by utilizing the optimization-based method for denoised inputs, uncertainty values of the output were conveyed better. Additionally, we concluded that the more random the process, the greater its uncertainty. A primary sense of the drought risk was made from the uncertainty perspective.
Novel developments in the prophylaxis and treatment of acute GVHD
Authors: Jamy Omer , Zeiser Robert , Chen Yi-Bin 
Published: July 2023

Abstract
Acute graft-versus-host disease (aGVHD) is a major life-threatening complication after allogeneic hematopoietic cell transplant. Traditional standard prophylaxis for aGVHD has included a calcineurin inhibitor plus an antimetabolite, whereas treatment has relied mainly on corticosteroids, followed by multiple nonstandard second-line options. In the past decade, this basic framework has been reshaped by approval of antithymocyte globulin products, the emergence of posttransplant cyclophosphamide, and recent pivotal trials studying abatacept and vedolizumab for GVHD prophylaxis, whereas ruxolitinib was approved for corticosteroid-refractory aGVHD treatment. Because of this progress, routine acute GVHD prophylaxis and treatment practices are starting to shift, and results of ongoing trials are eagerly awaited. Here, we review recent developments in aGVHD prevention and therapy, along with ongoing and future planned clinical trials in this space, outlining what future goals should be and the limitations of current clinical trial designs and end points.
CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter
Authors: Ortega-Sanz Irene , Barbero-Aparicio José A. , Canepa-Oneto Antonio , Rovira Jordi , Melero Beatriz 
Published: July 2023

AbstractBackgroundThe rapid expansion of Whole-Genome Sequencing has revolutionized the fields of clinical and food microbiology. However, its implementation as a routine laboratory technique remains challenging due to the growth of data at a faster rate than can be effectively analyzed and critical gaps in bioinformatics knowledge.ResultsTo address both issues, CamPype was developed as a new bioinformatics workflow for the genomics analysis of sequencing data of bacteria, especiallyCampylobacter, which is the main cause of gastroenteritis worldwide making a negative impact on the economy of the public health systems. CamPype allows fully customization of stages to run and tools to use, including read quality control filtering, read contamination, reads extension and assembly, bacterial typing, genome annotation, searching for antibiotic resistance genes, virulence genes and plasmids, pangenome construction and identification of nucleotide variants. All results are processed and resumed in an interactive HTML report for best data visualization and interpretation.ConclusionsThe minimal user intervention of CamPype makes of this workflow an attractive resource for microbiology laboratories with no expertise in bioinformatics as a first line method for bacterial typing and epidemiological analyses, that would help to reduce the costs of disease outbreaks, or for comparative genomic analyses. CamPype is publicly available athttps://github.com/JoseBarbero/CamPype.
Sarcoidosis: experience in a Mexican ophthalmological clinic
Authors: Salazar-Rodríguez Javier Alejandro , Sarmiento-Forero Diana , Hubbe-Tena Claudia , Concha-del-Rio Luz-Elena 
Published: July 2023

Abstract
Background
Sarcoidosis is an inflammatory disorder in which patients frequently develop ocular manifestations that precede systemic involvement, sometimes it even presents as an ocular isolated form of the disease. The purpose of this study is to report the ocular and systemic manifestations of sarcoidosis in a series of Mexican patients, as there is a low incidence of the disease in this population.

Methods
A retrospective case series of patients with positive classification criteria for sarcoidosis who attended Asociacion Para Evitar la Ceguera en Mexico, IAP between 2011 and 2022. Descriptive statistics were used to report the clinical, laboratory, and imaging findings and treatment. Numerical results were presented using median values and first and third quartiles for distribution.

Results
Fourteen patients were included in this study, 10 of them had definite ocular sarcoidosis (biopsy-proven), 4 had presumed ocular sarcoidosis. The median age of onset was 52 (34; 67), with a predominance of female patients (71.4%). Ten patients (71.4%) debuted with ocular manifestations. The most common forms of ocular involvement were bilateral anterior uveitis (50%) and panuveitis (28.6%). Median follow-up was 24 (13–49) months.

Conclusions
Sarcoidosis is a rare, underdiagnosed condition in Mexico and ocular involvement can be an early manifestation of the disease. Ophthalmologists should be alert to the signs of ocular sarcoidosis and collaborate with a multidisciplinary team to screen for systemic involvement if suspicion is high.
Physiotherapy applied to palliative care patients: a descriptive practice-based study
Authors: Navarro-Meléndez A , Gimenez MJ , Robledo-Donascimento Y , Río-González A , Lendínez-Mesa A 
Published: July 2023

Abstract
Background
Over the last few years, the presence of physiotherapists in Palliative Care Units (PCU) has considerably grown based on evidence from studies supporting the use of non-pharmacological measures as part of Palliative Care (PC) treatments. However, more accumulated data are needed to definitively establish its added value. The present study describes the type of patients receiving physiotherapy in a PCU and the benefits obtained in relation to their degree of functional dependence.

Methods
An observational, prospective, descriptive, practice-based study was undertaken involving patients admitted to the PCU of Fundación Instituto San José (Madrid, Spain), who according to the PCU´s clinical practice, met the criteria for physiotherapy intervention. Daily clinical practice was unchanged for study reasons. Participants were assessed prior to initiating and at the end of the physiotherapy program using the following standard scales: the Barthel Index, the Functional Ambulation Categories scale, the Palliative Performance Scale, and the Braden scale. A descriptive analysis was performed and scale scores prior to and after treatment were compared using the Wilcoxon signed-rank test. Significance was set at 0.05.

Results
A total of 63 patients were included (mean age 71.98 ± 12.72; 61.9% males). Fifty-eight patients (92.1%) were oncological patients; of them, 35 (60.3%) had metastases. Prior to treatment, 28 (44.4%) participants had total dependence according to the Barthel index, and 37 (58.7%) were non-functional ambulator according to the FAC scale. At the end of treatment, the number of patients with total dependence decreased to 15 (23.8%) and those non-functional ambulator to 12 (19.0%).

Conclusions
Patients who benefited from physical therapy during their admission to our PCU were predominantly males with oncological processes, mainly lung cancer. PC including physiotherapy improved their functionality, independence and skills for activities of daily living in this sample of PCU patients.
Greater temporal regularity of primary care visits was associated with reduced hospitalizations and mortality, even after controlling for continuity of care
Authors: Khazen Maram , Abu Ahmad Wiessam , Spolter Faige , Golan-Cohen Avivit , Merzon Eugene , Israel Ariel , Vinker Shlomo , Rose Adam J. 
Published: July 2023

Abstract
Background
Previous studies have shown that more temporally regular primary care visits are associated with improved patient outcomes.

Objective
To examine the association of temporal regularity (TR) of primary care with hospitalizations and mortality in patients with chronic illnesses. Also, to identify threshold values for TR for predicting outcomes.

Design
Retrospective cohort study.

Participants
We used data from the electronic health record of a health maintenance organization in Israel to study primary care visits of 70,095 patients age 40 + with one of three chronic conditions (diabetes mellitus, heart failure, chronic obstructive pulmonary disease).

Main measures
We calculated TR for each patient during a two-year period (2016–2017), and divided patients into quintiles based on TR. Outcomes (hospitalization, death) were observed in 2018–2019. Covariates included the Bice-Boxerman continuity of care score, demographics, and comorbidities. We used multivariable logistic regression to examine TR’s association with hospitalization and death, controlling for covariates.

Key results
Compared to patients receiving the most regular care, patients receiving less regular care had increased odds of hospitalization and mortality, with a dose–response curve observed across quintiles (p for linear trend < 0.001). For example, patients with the least regular care had an adjusted odds ratio of 1.40 for all-cause mortality, compared to patients with the most regular care. Analyses stratified by age, sex, ethnic group, area-level SES, and certain comorbid conditions did not show strong differential associations of TR across groups.

Conclusions
We found an association between more temporally regular care in antecedent years and reduced hospitalization and mortality of patients with chronic illness in subsequent years, after controlling for covariates. There was no clear threshold value for temporal regularity; rather, more regular primary care appeared to be better across the entire range of the variable.
L-GIREMI uncovers RNA editing sites in long-read RNA-seq
Authors: Liu Zhiheng , Quinones-Valdez Giovanni , Fu Ting , Huang Elaine , Choudhury Mudra , Reese Fairlie , Mortazavi Ali , Xiao Xinshu 
Published: July 2023

AbstractAlthough long-read RNA-seq is increasingly applied to characterize full-length transcripts it can also enable detection of nucleotide variants, such as genetic mutations or RNA editing sites, which is significantly under-explored. Here, we present an in-depth study to detect and analyze RNA editing sites in long-read RNA-seq. Our new method, L-GIREMI, effectively handles sequencing errors and read biases. Applied to PacBio RNA-seq data, L-GIREMI affords a high accuracy in RNA editing identification. Additionally, our analysis uncovered novel insights about RNA editing occurrences in single molecules and double-stranded RNA structures. L-GIREMI provides a valuable means to study nucleotide variants in long-read RNA-seq.
RETRACTED ARTICLE: Support attack detection algorithm for recommendation system based on deep learning
Authors: Li Xin , Wang Zhixiao 
Published: July 2023

AbstractIn order to enhance the performance of recommendation systems that support attack detection algorithms, we have designed a novel approach based on deep learning. Specifically, our algorithm focuses on improving convergence, user scoring accuracy, algorithm efficiency, and detection accuracy. To achieve this, we first construct a preliminary user rating matrix, which is optimised by incorporating the user preference word matrix and the weight of the preference word. Additionally, we adjust the size of the matrix using principal component analysis. Next, we construct a deep, bidirectional RNN model based on the deep learning network. This model is then combined with the user scoring matrix to identify the type of user. In the case of abnormal or false users, our algorithm is able to identify the recommendation system’s support attack through the detection results. The experimental results demonstrate the effectiveness of our algorithm. Specifically, our approach achieves fast convergence speeds, with the loss value remaining low throughout the process. Moreover, we achieve high average accuracy in user scoring, with a score of 97.14%. The detection time of the recommendation system support attack is also consistently lower than 0.7 s. Furthermore, our approach achieves an average accuracy of 98.09% in the detection of recommendation system support attacks. Overall, our algorithm shows promising results for practical applications in the field of recommendation systems.
Urbanität – Beiträge zu einem verhaltenstheoretischen und planungsbezogenen Konzept
Authors: Steinbach Josef 
Published: July 2023

Mit dem Aufkommen der postmodernen Kultur ist auch die Diskussion über verschiedene Formen von „Urbanität“ wieder in Gang gekommen, nachdem diese Thematik – angeregt besonders durch die Bücher von Jane Jacobs und Hans P. Bahrdt – schon in den 60er Jahren im Blickpunkt des Interesses gestanden war. Allerdings besteht weiterhin keine Einigkeit über die Deutung des Begriffes, und es gibt daher auch verschiedenste planerische Ansätze zur Realisierung entsprechender Leitbilder. Ihre Wirksamkeit bleibt allerdings oft beschränkt. In diesem Beitrag wird versucht, ein verhaltenstheoretisches Konzept zu entwickeln, das von verschiedenen Grundmerkmalen ausgeht (individuelle Lebensstile, Organisationsmuster der städtischen Gesellschaft, Eigenschaften städtischer baulicher Strukturen). Urbanität wird definiert als Erlebnisinhalte (Lebensgefühle), welche Outputs von städtischen Aktivitätenmustern bilden und deren Intensität von der Existenz spezieller Raumstrukturen abhängt. Aus der genaueren Analyse dieses „Produktionsapparates“ werden Strategien zur Planung von Urbanität abgeleitet.
ON THE CHARACTERISTICS OF CIRCULATION IN THE UPWELLING REGION OF THE SOUTHERN VIETNAM
Authors: Vinh Nguyen Kim 
Published: July 2023

The main results of experimental investigation of the circulation characteristics in the upwelling region of the Southern Vietnam, based on the current data received in the cruises of the Vietnam-German Project “Upwelling”, are noted here. This project may be estimated as having the most detail current measurement and the biggest rate in this Vietnamese sea area. The current velocity can reach more than 100 cm/s. The main current direction is related to the monsoon directions: northeastern and southwestern. It may be formed two pictures of the horizontal circulation in the upwelling region of the Southern Vietnam in the eastwestern monsoon. The first is characterized by an eastern stream off the Vietnamese coast at the latitude of 120N. The second is characterized by forming of the two-layer circulation: in the surface layer there is current related to monsoon (it has mainly the northeastern direction) and in the subsurface layer - north - south direction current. The southern current can reach to the 100N latitude. The thickness of surface current is about 50 meters. And the subsurface current is located from the depth of 60 to about 130 meters. The longitude velocity component of these currents can reach more than 35 and 50 cm/s relatively. Here there noted some indirect methods for calculating the upwelling velocity and its application to this upwelling region. The results showed that the rate of upwelling velocities is 10-3 - 10-2 cm/s.
SOME BIOLOGICAL CHARACTERISTIC OF SILVER RED SNAPPER CATCHED IN THE SEA WATERS OF NHA TRANG- KHANH HOA
Authors: Mao Nguyen Dinh , Thanh Nguyen Dich 
Published: July 2023

This paper presents some main results of study on the biology for Silver red snapper (Lutjanus argentimaculatus Forskal, 1775) in the seawaters of Nha Trang - Khanh Hoa during 2005 - 2006. The study is concluded that the minimum size of female Lutjanus argentimaculatus at maturity is 48 cm (3 age), and that the spawning may occur at fish size of 48 - 76 cm. The fecundity of female is variable in fish size or age groups: the number of ova at the length of 4 age is 895 × 103, 5 age is 995 × 103 and 6 age is 4,1 × 106 ova. The sex ratio of L. argenlimaculatus in general that on young, immature fishes have the ratio dominated by males, whereas those that capture mostly older and spaning age fishes have sex rutios that are mostly females.
BREEDING EXPERIMENT OF SPINY SEAHORSE (HIPPOCAMPUS SPINOSISSIMUS 1913) IN THE SEA OF KHANH HOA PROVINCE
Authors: Hoa Ho Thi , Thuy Nguyen Thi Thanh 
Published: July 2023

Spiny seahorse (Hippocampus spinosissimus) was the first time bred successfully in capture condition. The pregnant male from the wild were collected and reared in glass tank with aeration and fed on frozen small shrimp twice daily. Newborn juveniles were separately reared in open aquaculture system with density of 3 individuals/liter. Within the first two weeks, the juveniles were fed on live Copepods twice daily with density of 3-5 individuals/ml. Then, I 5-day old juveniles were weaned with frozen Mysids and switched to cutting frozen Acetes twice dail). The results showed that survival of two-month old juveniles was 48.83 ± 12.37%. The length and weight of two-month old juveniles were 55.76 ± 3.50mm and 0.76 ± 0.06g, respectively). Absolute growth rate of one-month old and two-month old juveniles were 0.98 and 1.60mm/day. respectively.
CORAL REEF FISHES IN THE COASTAL WATERS OF SOUTH-CENTRAL VIETNAM
Authors: Long Nguyen Van 
Published: July 2023

Studies on coral reef fishes in the coastal waters of South Central Vietnam were conducted at 42 sites of coral reefs at the four major locations of Van Phong Bay, Nha Trang Bay, Ninh Hai - Ninh Thuan and Ca Na Bay from 2006 - 2007, and combined with available data of species composition from previous studies. A total of 578 species representing 180 genera and 40 families of coral reef fishes was recorded. The analysis and comparison indicate that diversity of coral reef fish fauna in the coastal waters of South Central Vietnam was higher than that in other locations in the coastal waters of Vietnam (the Tonkin Gulf, southeastern and southwestern waters of Vietnam), more or less similar to that in the Spratly Islands and many other locations around the world. In the coastal waters of South Central Vietnam, Nha Trang Bay supported a higher diversity and abundance of most of fish families than Van Phong Bay, Ninh Hai - Ninh Thuan and Ca Na Bay.
Boosting Question Answering Systems with Multi-Label Classification Techniques
Authors: Chen YiHui , Lu Eric Jui-Lin , Jin-De  
Published: July 2023

Abstract

DBpedia is one of the most resourceful link databases today, and to access information in DBpedia databases, we need to use query syntax (e.g., SPARQL). However, not all users know SPARQL, so we must use a natural language query system to translate the user's query into the corresponding query syntax. It is costly and time-consuming for the query system to generate query syntax. Therefore, this paper proposes generating query syntax from natural language. Two multi-label learning methods are used for question transformation: Binary Relevance (BR) and Classifier Chains (CC). To predict all the labels that match the query intentions, we use Recurrent Neural Networks (RNNs) to build a multi-label classifier for generating RDF triples. To better consider the relationship between RDF triples, the Binary Relevance is integrated into an ensemble learning approach to propose an Ensemble BR. The experiments perform better than the other research to improve the query accuracy. (This article is submitted to IEEE Access with #Access-2023-19693 entitled Enhancing SPARQL Query Performance with Recurrent Neural Networks）