bluuebunny/crossref_metadata_2025_split huggingface dataset:
Longitudinal Outcomes From a Clinical Evaluation of a Cognitive- Behavioral Intervention for Patients With Head and Neck Cancer
Authors: Thilges Sarah , Mumby Patricia , Sinacore James , Clark Joseph , Czerlanis Cheryl 
Published: November 2022

Abstract

Purpose: Sequelae of and therapies for head and neck cancers (HNC) are associated with physical and functional impairment as well as increased levels of psychological distress post-treatment. Given the impact of HNC and treatment on functioning (i.e. eating and talking), health-related quality of life (HRQOL) is a significant area of survivorship concern within this population. Although prior research indicates the incidence of anxiety and depression ranges from 15 - 50%; to date there is a paucity of research on specific psychosocial interventions related to HNC treatment and completed studies have been limited by infrequent use of a randomized design and provision of non-standardized psychosocial interventions. This study aimed to address these gaps and test the feasibility of a brief cognitive-behavioral intervention (CBI) to improve: (1) self-efficacy for coping with cancer, (2) depressive symptoms, (3) other psychological symptoms, and (4) HRQOL among patients with HNC.
Methods: In an effort to conduct a randomized clinical trial of those undergoing treatment for HNC, eighty-eight patients were assigned to receive either a standardized CBI or usual psychological care (N = 47 and 41, respectively) with a one year follow-up. The means of all variables for both groups, adjusted for baseline, were visually compared at 3, 6, and 12 months post treatment.
Results: As has been a challenge in other longitudinal HNC studies, a high degree of attrition occurred, with a loss of 35 patients from the CBI group and 29 from the usual care group. Despite the high attrition, analysis of existing data indicated that the effect of CBI was discernable among the patients who completed the course of the study. Of the 38 comparisons, 34 showed that the CBI group had the favorable outcome.
Implications for Cancer Survivors: The impact of HNC treatment can be particularly distressing as it often results in functional impairment and markedly changed activities of daily living among survivors. However, engaging in therapeutic methods to cope and manage distress during treatment can influence QOL and mood into the survivorship phase.
Inversion study on soil water content in Shendong mining area based on MODIS data
Authors: Fan Jiaqi , Hu Riwa , Zhou Ruiping 
Published: November 2022

Abstract
Context The construction of green mines and the development of green mining are a strong embodiment of the implementation of the scientific outlook on development and the construction of ecological civilization, and soil water content, as one of the important indicators of soil monitoring, is of great significance to mine ecological restoration.
Objectives By obtaining the spatio-temporal dynamic change data of vegetation coverage, surface temperature and soil water content in Shendong mining area in the past 15 years, this study analyzed the ecological restoration status of Shendong mining area in recent years, enriched the ecological restoration database of Shendong mining area, and provided theoretical basis for better development of green mining area in the next step.
Methods This paper selects Shendong mining area as the research object, analyzes the normalized vegetation index (NDVI) and the dynamic distribution characteristics of land surface temperature (LST) in the study area based on the MODIS data from 2006 to 2021,constructs the corresponding vegetation index-surface temperature characteristic space and calculates the temperature vegetation drought index, verifies the soil moisture data of field sampling points, and further analyzes the spatial distribution of soil water content in Shendong mining area combined with hot spot analysis.
Results The results showed that: (1) The annual average value of NDVI showed a growth trend during 2006~2021, with a range of 0.253016~0.374517, and the NDVI decreased by 8.27% in 2021 compared with 2019, to 0.343557. In terms of spatial distribution, the NDVI value of Shendong mining area was high in the middle and low on both sides. (2) Inverting the surface temperature results, it can be seen that the LST value in Shendong mining area showed a trend of first decreasing and then increasing, and reached the maximum surface temperature in recent years in 2021, which was 39.764234°C. (3) The TVDI value increased from 0.472038 in 2006 to 0.638168 in 2021, and grew slowly in 2006~2016, from 0.472038 in 2006 to 0.503971 in 2016; it was rapid growth in 2016~2021, with a growth rate of 26.63%.
A Novel Prognostic Model Based on Cuproptosis-Related Genes and Multi-Omics Analysis Predicts the Prognosis of Patients with Bladder Urothelial Carcinoma
Authors: Yuan Jianxu , Jiang Qing , Wang Jiawu , Hua Zhengzhao , Yu Shengjie 
Published: November 2022

Abstract
Cuproptosis is a special form of cell death. Bladder cancer, especially Bladder Urothelial Carcinoma (BLCA), is one of the ten most common cancer types in the world. So far, the potential role of cuproptosis in BLCA is unclear. In the present study, we systematically evaluated the copper poisoning mediated patterns of 509 BLCA samples based on 19 validated copper poisoning related genes (CRGs) using data downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Kaplan Meier method was used to analyze the overall survival rate (OS) of different risk groups. Gene Set Variation Analysis (GSVA) was used to study the functional differences between different cuproptosis clusters (CRG clusters). Single sample gene set enrichment analysis (ssGSEA) was used to explore the potential relationship between CRGclusters and immune status. We used GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis to study various cellular biochemical processes. Finally, we established a prognostic model to predict patients’ survival outcomes and to further analyze the correlation between the predictive characteristics of BLCA patients and various treatment response. In this study, we derived two CRGclusters and geneclusters, and also established a model to quantify the risk score of individual BLCA patients, which was found to be closely associated with various clinical characteristics and could precisely predict the prognosis of BLCA patients. We believe that through our study, quantitative analysis of cuproptosis mediated patterns in a single sample may help to improve our understanding of the multi-omics characteristics of BLCA and guide future treatment regimens.
Sufficient instance networks for computing support in graph databases
Authors: Vanetik Natalia , Vanetik Natalia 
Published: November 2022

Abstract
Because displaying connections within the data via a graph is natural and intuitive for humans, graph databases have grown in popularity. A graph database can be made up of multiple smaller graphs or a single huge graph. Finding statistically significant subgraphs (also known as graph patterns) in graph databases is referred to as graph mining. The search process within the graph database and a specified support measure to assess the statistical importance of these graph patterns make up this task’s two components. Finding occurrences of graph patterns in the database, which is a computationally intensive process, is necessary for this support measure, which is frequently difficult to compute. We concentrate on the scenario of a single graph database in this paper. We demonstrate, using the relationship between support measures and flows in networks of pattern instances established in prior work, that the network of pattern instances may be successfully pruned to contain just particular kinds of subgraphs for any suitable support measure. This strategy decreases the size of the instance network, which can lower the effort required to compute a support measure. We demonstrate that any legitimate support measures in graph databases can use this trimming.
EvoBA: An Evolution Strategy as a Strong Baseline for Black-Box Adversarial Attacks
Authors: Ilie Catalin-Andrei , Popescu Marius , Stefanescu Alin 
Published: November 2022

Abstract
Recent work has shown how easily white-box adversarial attacks can be applied to state-of-the-art image classifiers. However, real-life scenarios resemble more the black-box adversarial conditions, lacking transparency and usually imposing natural, hard constraints on the query budget.
It is usual for the black-box adversarial literature to assume that the attacker, while constrained by the number of model invocations and total image perturbation, has huge resources in terms of computation power and time. Therefore, most black-box adversarial attacks take a long time to run and require heavy computational processes. This makes it unfeasible for day-to-day computer vision systems developers to run continuous robustness checks against their models, by playing the attacker role and seeing when and how their model fails.
Therefore, we propose a class of black-box attacks based on simple evolutionary strategies: $\textbf{EvoBA}$, $\textbf{EvoBA-E}$, and $\textbf{EvoBA-ET}$. These are fast, query-efficient attacks, aiming to minimize the $L_0$ adversarial perturbations, and do not require any form of training.
We benchmark these attacks on the CIFAR-100 dataset and observe that they bear different trade-offs in terms of the count of queries required to fool the models and the $L_0$ adversarial distance. However, $\textbf{EvoBA}$ strikes out as being the fastest of the three, so we further focus on comparing it against well-known adversarial attacks. We also build and open-source \footnote{https://github.com/andreiilie1/BBAttacks} a tool that can be used to run quick robustness checks of generic computer vision classifier systems.
$\textbf{EvoBA}$ shows efficiency and efficacy through results that are in line with much more complex state-of-the-art black-box attacks such as $\textbf{AutoZOOM}$. It is more query-efficient than $\textbf{SimBA}$, a simple and powerful baseline black-box attack, and has a similar level of complexity. Therefore, we propose it both as a new strong baseline for black-box adversarial attacks and as a fast and general tool for gaining empirical insight into how robust image classifiers are with respect to $L_0$ adversarial perturbations.
There exist fast and reliable $L_2$ black-box attacks, such as $\textbf{SimBA}$, and $L_{\infty}$ black-box attacks, such as $\textbf{DeepSearch}$. We propose $\textbf{EvoBA}$ as a query-efficient $L_0$ black-box adversarial attack which, together with the aforementioned methods, can serve as a generic tool to assess the empirical robustness of image classifiers. The main advantages of such methods are that they run fast, are query-efficient, and can easily be integrated in image classifiers development pipelines.
While our attack minimises the $L_0$ adversarial perturbation, we also report $L_2$, and notice that we compare favorably to the state-of-the-art $L_2$ black-box attack, $\textbf{AutoZOOM}$, and of the $L_2$ strong baseline, $\textbf{SimBA}$.
Long-term data reflect nitrogen pollution in Estonian rivers
Authors: Nõges Tiina , Vilbaste Sirje , McCarthy Mark J. , Tamm Marju , Nõges Peeter 
Published: November 2022

Abstract
We analysed long-term (1992–2020) changes in fertiliser use, wastewater treatment, and river water nutrient status in Estonia (N-E Europe) in the context of changing socio-economic situations and legislation. We hypothesised that improved regulation of fertiliser usage and wastewater treatment are reflected as declining riverine nutrient concentrations, with the largest relative improvements occurring in catchments with initially high proportions of point source loading. We analysed nutrient dynamics in 16 rivers differing by catchment land use, population and livestock densities. Data on fertiliser use and wastewater treatment originated from the Statistics Estonia database, and riverine nutrient concentrations from the State Environmental Monitoring Database. We clustered the rivers by their catchment properties and analysed trends in their nutrient status. Point source nutrient loading reductions explained most of the decline in riverine nutrient concentrations, whereas application of mineral fertilisers has increased, hindering efforts to reach water quality and nutrient load targets set by the EU Water Framework Directive and the Baltic Sea Action Plan. Highest nitrogen concentrations and strongest increasing trends were found in rivers within the Nitrate Vulnerable Zone, indicating violation of the EU Nitrates Directive. To comply with these directives, resource managers must address non-point source nutrient loading from river watersheds.
Detection of Protoparvovirus in wastewater and human adenovirus in a green leafy vegetable in an Environmental Education Center in southern Brazil
Authors: Gartner Leila Elisa , Demoliner Meriane , Girardi Viviane , de Oliveira Kelen Gras , de Souza Fernanda Gil , Henzel Andréia 
Published: November 2022

Abstract
The presence of coliforms, Mastadenovirus (AdV), and Canine protoparvovirus (CPV) in an Environmental Education Center, which contains city kennel, was investigated. Surface water and wastewater, dogs’ stool, and lettuce samples were collected from the irrigation system in both periods October 2017 and February 2018. Water samples were analyzed for the presence of human AdV (HAdV) and canine AdV (CAV), CPV, total coliforms (TC), and Escherichia coli; lettuce for AdV; and dog stool for CAV and CPV. Sixty-seven samples were analyzed: dog stool (n = 33); water (n = 10), and root, stem, and leaf (n = 24) originated from eight lettuce samples. Coliforms and E. coli were tested by Colilert and viruses by PCR assays, respectively; and the amplicon was sequenced. E. coli, TC, and viruses were detected in both collections. Viruses were detected in 34.3% of samples, of which HAdV-C was present in 13% of water samples; HAdV-E in 8.7% (water and lettuce); CAV-1 in 13% (dog stool and water); CPV-2a in 56.5% (dog stool). Raccoon CPV-like and AdV not characterized were detected in one wastewater samples and one dog stool, respectively. To our knowledge, this is the first description of the presence of Raccoon CPV-like in water and HAdV-E in lettuce in Southern Brazil.
A quantitative evaluation of water resource management policies in China based on the PMC index model
Authors: Wang Nina , Wang Wenbin , Song Tao , Wang Huanming , Cheng Zhe 
Published: November 2022

Abstract
Water policies play a critical role in good water governance and sustainable water development. The evaluation of water policies helps improve the quality of water policy systems and water governance. This study quantitatively evaluated water resource management policies through the policy modeling consistency (PMC) index model and a text-mining method based on national water resource management policy texts produced from 2011 to 2019. This study constructed an evaluation index system based on the water resource management policy's high-frequency words, including 9 first-level variables and 43 second-level variables; furthermore, it compared and analyzed key water resource policies based on the PMC index and PMC surface. The results showed that China's water resource management policies are generally applicable, but it needs to be improved. China's water resource management policies are reasonable in terms of policy nature, policy function, policy priority, and function level, and need to be further improved in terms of policy prescriptions, incentive constraints, policy fields, policy evaluations, and policy priorities. This study thus provided a scientific basis for the optimization of water resource management policies and water governance capacities in China.
Research on the comprehensive evaluation of the value of water conservancy heritage based on expert knowledge and public cognition: a case study of Red Flag Canal
Authors: Wang Yanrong , Fu Hao , Zhang Shujing , Jiapaer Nilupa 
Published: November 2022

Abstract
The scientific construction of the indicator system and the objective evaluation method that apply to the value of water conservancy heritage are of great significance to the promotion and development of water culture and water conservancy heritage conservation. This study constructs an index system for water conservancy heritage value assessment from seven first-level indexes, such as engineering value, economic value, social value, ecological value, artistic value, innovative value and heritage value, builds a fuzzy comprehensive evaluation model based on expert knowledge and public perception and carries out empirical evidence with the example of China's Red Flag Canal. The results show that the overall value of the Red Flag Canal was 94.68 points, which reached a high level. The result is consistent with that the Red Flag Canal was successfully declared as the national water conservancy heritage, thus verifying the scientificity and rationality of the index system and the evaluation method constructed by this study.
Preparation, Characterization and in vitro/vivo Evaluation of Long-Acting
Rivaroxaban-Loaded Microspheres
Authors: Tan Chunli , Xiong Subin 
Published: November 2022

Background:
Rivaroxaban is widely used for long-term prevention and maintenance therapy
of thromboembolic disorders. The existing oral dosage forms of rivaroxaban lead to poor patient adherence
because of repeated daily administration. The aim of this study is to design long-acting rivaroxaban-
loaded microspheres to reduce dosing frequency and improve patient compliance.

Methods:
Rivaroxaban-loaded microspheres were prepared using the emulsion-solvent evaporation
method. The microspheres were evaluated in terms of morphology, particle size, drug loading and encapsulation
efficiency, the physical state of the drug in the matrix, in vitro release/release mechanism,
and in vivo pharmacokinetics in Sprague Dawley rats.

Results & Discussion:
Rivaroxaban-loaded microspheres presented spherical-shaped particles displaying
a mean particle size of 89.3 μm, drug loading of 16.5% and encapsulation efficiency of 97.8%. The
X-ray diffraction indicated that rivaroxaban existed in crystal form in the microspheres. In vitro release
lasting approximately 50 days was characterized as a tri-phasic pattern: (1) an initial burst release,
mainly due to the dissolution of drug particles with direct access to the microparticles’ surface, (2) a
“plateau” phase with a slow-release rate controlled by the diffusion and (3) a final, rapid drug release
phase controlled by polymer erosion. Pharmacokinetic studies showed that rivaroxaban microspheres
maintained a sustained release for more than 42 days.

Conclusion:
Rivaroxaban-loaded microspheres have great potential clinical advantages in reducing
dosing frequency and improving patient compliance. The data obtained from this study could be used as
scientific evidence for decision-making in future formulation development.
β-CD/Lewis Acid Dual Catalytic System for Efficient Synthesis of
Pyranopyrazoles in Aqueous Environment
Authors: Alvala Mallika , Sethi Aaftaab 
Published: November 2022

Abstract:
A series of pyranopyrazoles were synthesized via a one-pot four-component approach.
The reaction was catalyzed by a β-CD/Yb(OTf)3 dual catalytic system. The protocol demonstrated
offers several advantages such as short reaction times, excellent yields, good functional group tolerance,
ambient and environmentally benign conditions, scalability and simple purification. Such
dual catalytic systems are an attractive alternative to regular catalysts and can be further explored
for a diverse set of reactions.
Efficacy of Autologous Serum Therapy in Chronic Urticaria, A Prospective Experimental Cohort Study
Authors: Wannous Boshra Ibrahim , Khaddam Jamal , Ismaiel Mohamad Adel 
Published: November 2022

Background:
Chronic Urticaria is one of the most therapeutic difficulties confronted by a dermatologist.

Objective:
The objective of this study is to estimate the efficacy of Autologous Serum Therapy (AST) in Chronic Urticaria patients and compare the efficacy of AST in each group of Autologous Serum Skin Test (ASST) positive and negative.

Methods:
A prospective study was conducted for the period of one year (July 2020 – July 2021) at Tishreen University Hospital. We enrolled 50 patients suffering from Chronic Urticaria. ASST was done for all patients before the treatment. We gave patients 9 injections of Autologous Serum intramuscularly once a week. The response to AST was evaluated by using Urticaria Total Severity Score (UTSS) before the treatment (0 weeks), after the treatment (9 weeks), and followed up for 3 months after the end of the treatment (21 weeks).

Results:
Between 50 patients, the sample was distributed equally in each group of ASST (positive and negative). 18 patients (36%) had an excellent response, 7 patients (14%) had a very good response, 11 patients (22%) had a good response, and 14 patients (28%) had no response. The treatment was effective in both ASST positive and negative groups, however, there was no significant relationship in response between the two groups.
There was a significant relationship between clinical response and severity of disease p-value = 0.04, the majority of excellent response cases (88.9%) had severe disease before the treatment.

Limitations:
The main limitations of our study were the lack of patients and the short follow-up period (12 weeks).

Conclusion:
AST was effective in treating Chronic Urticaria without side effects. There was a significant response in both ASST positive and negative groups.
PENDAMPINGAN MANAJEMEN USAHA PADA UKM BAKSO DI PASURUAN
Authors: Siti Zubaidah  , Dhaniel Syam  , Rizki Febriani  
Published: November 2022

Salah satu UKM penjual bakso daging sapi adalah Bakso “Pirang”. Bakso “Pirang” ini awalnya berjualan di pinggir Jurang, sehingga diberikan nama bakso pirang. Saat ini penjualan baksonya mengalami penurunan jika dibandingkan dengan tahun- tahun lalu. Sistem penjualan dilakukan secara offline, pemasarannya masih kurang optimal, dan penyusunan laporan keuangannya masih kurang baik. Hal ini berdampak pada perputaran modal kerjanya kurang cepat. Jika semakin cepat uang kembali maka perputaran modal usaha yang terdiri dari perputaran kas, perputaran persediaan dan perputaran piutang akan semakin tinggi, ini berarti pendapatan akan semakin tinggi, dapat dikatakan bahwa profitabilitas semakin tingi. Namun yang dialami oleh Bakso Pirang perputaran modal kerjanya semakin lambat, sehingga pendapatan yang diperoleh semakin menurun. Oleh karena itu, pengabdian ini bertujuan untuk memberikan solusi dari permasalahan yang terjadi di mitra dengan memberikan pengetahuan dan pendampingan dalam pengelolaan atau manajemen usaha. Pengelolaan usaha difokuskan pada pemasarannya. Target luaran yang diharapkan adalah adanya peningkatan pengetahuan mitra dalam manajemen usaha, modul manajemen usaha dan publikasi ilmiah. Kegiatan dalam pengabdian ini adalah sosialisasi kepada mitra, pelatihan dan pendampingan manajemen usaha, serta evaluasi dan monitoring. Oleh karena itu, manfaat pengabdian ini adalah adanya peningkatan pengetahuan mitra dalam manajemen usaha terutama dalam hal pemasaran dan diharapkan volume penjualan dan adanya perluasan akses pemasaran usaha bakso “Pirang” . Disamping itu mitra mampu menyusunan laporan keuangan dengan baik.