bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship between human cytomegalovirus glycoprotein B genotypic distributions, virus load and demographic and clinical features in a Chinese infant population
Authors: Mu Huijun , Qiao Weizhen , Zou Jian , Zhang Haiping
Published: June 2022

Purpose
To explore the relationship between human cytomegalovirus (HCMV) glycoprotein B (gB) genotype distribution, virus load and demographic and clinical features in Chinese infants.
Methods
The retrospective data of 265 infants who underwent urine HCMV DNA test were analyzed. The viral load and gB genotype were further detected in 91 HCMV positive infants by quantitative fluorescence polymerase chain reaction (PCR) and DNA sequencing, respectively.
Results
The positive rate of HCMV infection was 46.04% (122/265), and it reached the peak at the age of two months (9.62%, 25.81% and 68.57% in infants aged 0–30 days, one month and two months, respectively). As for the 91 infants studied furtherly, the top two clinical diagnoses are hepatitis (34/91, 37.36%) and lower respiratory tract infection (21/91, 23.07%). The most prevalent genotype was gB3 (47/91, 51.65%), followed by gB1 (44/91, 48.35%). The gB3 HCMV infection was more prevalent in infants aged 0–2 months (gB1 = 14, gB3 = 22) than in other infants aged 3–12 months (gB1 = 20, gB3 = 11, χ2 = 4.38, p = 0.0364). The mean level of HCMV DNA was 1.047×104 copies/ml. There was no significant difference in viral load among infants infected with gB1 or gB3 genotype HCMV. The data also showed that the ALT and AST levels in the anti-HCMV IgM + and IgG– group are significantly higher than those in the anti-HCMV IgM + and IgG+, and IgM- and IgG + group.
Conclusions
This study revealed the infection status and process of HCMV in Chinese infants. In addition, this study suggests that anti-HCMV IgG may play a role in protecting liver function.
Grey Wolf Optimizer-based decentralized service discovery in Internet of Things applications
Authors: AZIZOU Zahia BENSALAH , BOUDRIES Abdelmalek , AMAD Mourad
Published: June 2022

Discovery of service is one of the main challenge in Internet of Things due to the increasing of services and applications, which is especially tricky for the lookup of service (or set of services). Therefore , in this paper , we propose a new distributed discovering algorithm based on Grey Wolf Optimizer ( GWO ) for IoT . GWO is one of recent metaheuristic , the field of swarm intelligence to solve combinatorial optimization problem. To show the different effective performances of GWO in accurate discovering of services, The simulation results show that GWO can achieve a high discovery success with small number of hops used to discover service. Our approach maintains their performance and achieve good scalability as the number of object in decentralized approach for IoT .
A Privacy Preserving E-Voting System with Two-Phase Verification based on Ethereum Blockchain
Authors: Goyal Jitendra , Ahmed Mushtaq , Gopalani Dinesh
Published: June 2022

In recent years, With the rapid development of blockchain technol- ogy, there has been an increased interest in solving various opera- tional challenges. For the e-voting system at present, voter’s privacy, immutability of votes and third party dependency are major issues. These issues can very well be solved by blockchain technology. In this paper, we have proposed a decentralized framework for e-voting based on blockchain technology that contributes significantly to the implementation paradigm. We have implemented it on the Ethereum platform and developed a fully functional smart contract to store and validate votes. The research provides deep insight into the design of smart contract transactions in an e-voting system from a computa- tional cost perspective. In order to authenticate the voters, We have done voter verification in two phases. In the first phase, the voter reg- isters through a secure code, whose(code) Keccak-256 hash is stored on the blockchain, and in the second phase, the voter is verified by the managing authority. Based on the literature review, we found a lack of standardization for blockchain-based e-voting systems. So we have tried to fill this gap of standardization. In addition, we have also inspectedour model against various security attacks and found that our model is robust against double-spend attack, re-entrancy attack, DDoS etc.
Genotype by environment interaction for grain yield in foxtail millet (Setaria italica) using AMMI model and GGE Biplot
Authors: Zhang Haiying , Feng Zhiwei , Wang Jin , Yun Xiaodong , Qu Fei , Sun Changqing , Wang Qian
Published: June 2022

Genotype by environment interaction (GEI) is a major limiting factor in the regional planting and breeding of cultivars. The objective of this study was to assess GEI for grain yield in foxtail millet cultivars grown in northwest China and identify promising genotypes and representative seed production environments. The study used 12 genotypes in eight environments, representative of early-maturing growing areas. Additive main effects and multiplicative interaction (AMMI) and genotype and genotype by environment (GGE) biplot analysis were used to analyze the data. AMMI analysis of variance (ANOVA) indicated that genotype (G), environment (E), and GEI had significant effects (p < 0.01). The E contributed the highest percentage of the total sum of squares (SS) (43.4%), followed by G×E (28.6%) and G (19.5%). Six stability parameters based on AMMI were used to analyze yielding stability. YG35, FH9, DT29, and ZZG21 were more stable. The correlation coefficients between the six parameters were > 0.8. The genomic selection index (GSI) was then used to identify the stable and high-yield genotypes (YG35, ZZG21, and DT29). GGE biplot analysis revealed the same cultivars as the best performers for being closest to the ideal cultivar. The test sites were classified into two mega-environments using GGE biplot analysis for genotype assessment and seed production. CF and XJ were identified as the closest to the ideal test site, with relatively strong discriminatory ability and representativeness. Therefore, the findings of this study provide insights for the regional planting and breeding of foxtail millet in the future.
Biolixiviation of metals of computers printed circuit boards by Acidithiobacillus ferrooxidans and metals bioremoval by mixed culture subjected to a magnetic field.
Authors: Silva Jessica , Dias Roseli , Cardoso Vicelma , de Resende Miriam Maria
Published: June 2022

Crushed and ground Printed Circuit Boards (PCBs) samples were characterized to evaluate copper, lead, and aluminum using morphological characterization by Scanning Electron Microscopy (SEM), Energy Dispersive X-Ray Spectroscopy (EDS), and X-Ray Fluorescence Spectroscopy (XRF). Bioleaching experiments using Acidithiobacillus ferrooxidans bacteria with and without pH adjustment in the inoculum were carried out in a shaker at 30 ºC and agitation of 100 rpm for a total duration of 12 days. The XRF characterizations showed 0.12% lead, 3.72% copper, and 12.73% aluminum in the PCBs. The metal solubilization experiments indicated higher values of total metal solubilization when performed with initial pH adjustment in the inoculum preparation. However, these experiments did not show higher values of metal solubilization by bioleaching. Sequential bioleaching assays with A. ferrooxidans followed by bioremoval metals by mixed culture in the presence and absence of field 5Hz magnetic had a total duration of 24h in the bioreactor with recirculation. The sequential experiments of bioremoval using mixed culture after bioleaching with initial adjustment of inoculum pH without field application had 100% removal of Al, 27.34% for Cu, and 96.43% for Pb from the lixiviate medium, and with the field application indicated 100% removal of Al, 83.82% for Cu, and 98.27% for Pb. A similar bioleaching experiment without inoculum pH adjustment and without field application had 99.74% removal for Cu and 91, 92% for Pb. The field application indicated 100% removal for Cu and 95.76% for Pb. Bioreactors with a magnetic field don’t show better removals to all metals analyzed.
Atomic excited states and the related energy levels⊗
Authors: Zadeh Dariush Habibollah
Published: June 2022

The general theory of atoms including the related excited states and energy levels is reviewed. Numerical calculations and detailed works for several elements are presented to establish a better understanding of excited states. The article seeks also for connections between atomic behavior, and the internal structures and inner electrons of atoms. Then the atomic excited energy levels are formulated using the corresponding atomic ionization energies and a new defined parameter called “Characteristic Exponent k”. Furthermore, a small data bank is generated using the calculated “characteristic exponents k” for elements to be utilized for future simulations, studies, research activities and a connection to the type of atoms and their internal atomic structures.
Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for imbalanced data
Authors: Nam Ji Hyun , Mun Jongmin , Jo Seongil , Kim Jaeoh
Published: June 2022

South Korea has been in a truce with North Korea since 1953, and conventional artillery firing training are still needed considering its geopolitical location. Based on the weather condition, the decision is made whether to conduct artillery training, which might cause forest fires. Wildfires caused by military training not only devastate forests but also worsen public opinion on national defense. While forest fires triggered by artillery training cause substantial damage, the number of occurrences is very low, making it difficult to construct a prediction model in a general manner. In this paper, the weighted support vector machine for imbalanced data is applied to predict the risk of forest fire due to artillery firing training. We employ an over-sampling technique based on a probability distribution for imbalanced data and applied a weighted support vector machine algorithm that enforces a misclassification cost of the minority class. This study not only considerably reduces the probability of forest fires occurring during conventional artillery fire training in the Republic of Korea Army (ROKA) but also encourages the development of practical approaches for wildfires prediction in countries with climates similar to the Korean Peninsula. Furthermore, our proposed method can contribute to the study of the classification model for various imbalanced data. Through Monte Carlo simulations, we demonstrate that our proposed method achieves significantly higher accuracy than traditional methods.
GHDC: A Dual-Centric Data Center Network Architecture by Using Multi-port Servers with Greater Incremental Scalability
Authors: Zhou Peng , Lin Longxin , He Tengjiao , Zhang Zhen
Published: June 2022

As the volume of data keeps growing rapidly, more and more servers are continuously added into data centers. The industry experience indicates that, in order to reduce the cost and energy consumption, data enter network (DCN) can be expanded by adding a small number of servers from time to time instead of adding a huge number of servers at a time. The DCN structures with incremental scalability can be expanded gradually while their topological properites are preserved. In order to improve the performance of the DCN, dual-centric DCN structures are proposed. However, the incremental scalabilities of the current dual-centric DCNs are not good. This paper proposes a new type of dual-centric data center network structure called GHDC (Generalized Hypercube Data Center network architecture), which is constructed by using commodity switches and multi-port servers. After analyzing the shortest distance between any two vertices, a routing algorithm is developed. To achieve incremental scalability, two incomplete GHDC structures are proposed. A small number of servers can be added into the incomplete GHDC structures while their topological properties are maintained. The analysis results show that GHDC significantly outperform FCell, FRectangle and FSquare in terms of the incremental scalability and robustness. The average through-put of GHDC is approximately equal to that of FSquare and highter than that of FCell and FRectangle by about 17.45% and 25.5%. Compared with the FCell, FRectangle and FSquare, GHDC reduces the cost andenergy consumption by about 10.84%, 22.85% and 29.55%, respectively.
A Study into Patient Similarity through Representation Learning from Medical Records
Authors: Memarzadeh Hoda , Ghadiri Nasser , Samwald Matthias , Shahreza Maryam Lotfi
Published: June 2022

Patient similarity assessment, which identifies patients similar to a given patient, can help improve medical care. The assessment can be performed using Electronic Medical Records (EMRs). Patient similarity measurement requires converting heterogeneous EMRs into comparable formats to calculate their distance. While versatile document representation learning methods have been developed in recent years, it is still unclear how complex EMR data should be processed to create the most useful patient representations. This study presents a new data representation method for EMRs that takes the information in clinical narratives into account. To address the limitations of previous approaches in handling complex parts of EMR data, an unsupervised method is proposed for building a patient representation, which integrates unstructured data with structured data extracted from patients' EMRs. In order to model the extracted data, we employed a tree structure that captures the temporal relations of multiple medical events from EMR. We processed clinical notes to extract symptoms, signs, and diseases using different tools such as medspaCy, MetaMap, and scispaCy and mapped entities to the Unified Medical Language System (UMLS). After creating a tree data structure, we utilized two novel relabeling methods for the non-leaf nodes of the tree to capture two temporal aspects of the extracted events. By traversing the tree, we generated a sequence that could create an embedding vector for each patient. The comprehensive evaluation of the proposed method for patient similarity and mortality prediction tasks demonstrated that our proposed model leads to lower mean squared error (MSE), higher precision, and normalized discounted cumulative gain (NDCG) relative to baselines.
Fine mapping and candidate gene analysis of QS_B3.1 conferring clubroot resistance in Brassica rapa
Authors: Pang Wenxing , Zhang Xue , Ma Yinbo , Wang Yingjun , Zhan Zongxiang , Piao Zhongyun
Published: June 2022

Chinese cabbage is an important leafy vegetable rich in many nutrients widely grown in China. Clubroot disease caused by an obligate biotrophic pathogen Plasmodiophora brassicae was rapidly spread and challenged to Chinese cabbage production. A clubroot resistance (CR) gene, QS_B3.1, was mapped on chromosome A03 of B. rapa. A Chinese cabbage line ‘CR510’, which harbor homozygous resistance locus QS_B3.1 was selected from a BC4F3 family. ‘CR510’ was crossed with a clubroot susceptible Chinese cabbage inbred line ‘59-1’. Total 51 recombinant plants were identified from an F2 population including 3000 individuals. These recombinants were selfed and the clubroot resistance of F2/3 families were evaluated. Finally, QS_B3.1 was fine mapped to an interval of approximately 386 kb between marker syau-InDel3024 and syau-InDel3008. According to the reference genome, total 54 genes including five encoding the TIR-NBS-LRR proteins was annotated in the fine mapped region. Further nine candidate’s gene expression in parental lines at 7, 14 and 21 days after inoculation of P.brassicae were evaluated. Bra019376, Bra019401, Bra019403 and Bra019410 are highly expressed in ‘CR510’ than ‘59-1’. Gene sequence of Bra019410 from ‘CR510’ was cloned and identified different from CRa. Therefore, Bra019376, Bra019401, Bra019403 and Bra019410 are the most likely candidates of QS_B3.1. Our research provides a valuable germplasm resource against P. brassicae and QS_B3.1 closely linked marker for marker-assisted selection in CR cultivars breeding.
Does cervical curvature affect neurological outcome after incomplete spinal cord injury without radiographic abnormalities (SCIWORA): 1-year follow-up
Authors: Qi Can , Cao Junming , Xia Hehuan , Miao Dechao , Liu Yaming , Guo Junfei , Li Zequn , Hou Zhiyong
Published: June 2022

Background
At present, surgery is the primary clinical treatment for SCIWORA patients, but conservative treatment still plays an important role in patients with incomplete spinal cord injury. As an important index of cervical spine degeneration, cervical curvature has an impact on the prognosis of spinal cord injury patients. This paper studied the prognosis of conservatively treated patients with SCIWORA and the correlation between cervical curvature and neurological prognosis.
Methods
A retrospective study was conducted in all the patients with SCI admitted to the Third Affiliated Hospital of Hebei Medical University between January 2017 and June 2020. Data were recorded in 106 eligible patients, including sex, age, injury factors, Cobb angle, CCI, CSA, and ASIA motor and sensory scores. The Wilcoxon sign rank sum test was used to analyze the data postinjury and at the 1-year follow-up. Pearson correlation analysis was performed for the Cobb angle, CCI and CSA. Simple linear regression analysis and multiple linear regression analysis were performed for each group of variables.
Results
The Wilcoxon signed rank sum test confirmed that the Cobb angle, the CCI and the CSA of the patients were not significantly different at the 1-year follow-up when compared with the postinjury values, and the ASIA motor and sensory scores were significantly improved. The Pearson correlation analysis showed correlations among the Cobb angle, the CCI and the CSA. Simple linear regression analysis and multiple linear regression analysis showed that the nerve recovery rate was negatively correlated with age and was positively correlated with the Cobb angle.
Conclusion
Conservative treatment of incomplete SCIWORA can achieve a good prognosis. There is a clear correlation between the Cobb angle, CCI and CSA, and the Cobb angle, as an important influencing factor, needs to be considered. For SCIWORA patients undergoing nonsurgical treatment, improving cervical curvature is beneficial to the prognosis of patients. Age negatively affects the neurological prognosis.
DA-UNet: Deep supervision and atrous inception-based U-Net combining CRF for automatic liver segmentation from CT
Authors: Lv Peiqing , Wang Jinke
Published: June 2022

Due to low contrast and the blurred boundary between liver tissue and neighboring organs sharing similar intensity values, the problem of liver segmentation from CT images has not yet achieved satisfactory performance and remains a challenge. To alleviate these problems, we introduce deep supervision (DS) and atrous inception (AI) technologies with conditional random field (CRF) and propose three major improvements that are experimentally shown to have substantive and practical value. First, we replace the encoder's standard convolution with the residual block. Residual block can increase the depth of the network. Second, we provide AI module to connect the encoder and decoder. AI allows us to obtain multi-scale features. Third, we incorporate the DS mechanism into the decoder. This helps to make full use of information of the shallow layers. In addition, we employ the Tversky loss function to balance the segmented and non-segmented regions and perform the further refinement with a dense CRF. Finally, we extensively validate the proposed method on three public databases: LiTS17, 3DIRCADb, and SLiver07. Compared to the state-of-the-art (SOTA) methods, the proposed method achieved increased segmentation accuracy for the livers with low contrast and the fuzzy boundary between liver tissue and neighboring organs and is, therefore, more suited for automatic segmentation of these livers.
Motifizer: a tool for parsing high-throughput sequencing datasets and quantitative comparative analyses of transcription factor-binding sites
Authors: Khan Soumen , Bhattacharjee Abhik , Badhe Pranav , Dongaonkar Chinmay , Gaglani Yash
Published: June 2022

BackgroundComparative analysis of Chromatin immunoprecipitation followed by massively parallel sequencing (ChIP-seq), combined with transcriptomics data (RNA-seq), can provide critical insights into gene regulatory networks controlled by transcription factors in a given biological context. While multiple programs exist, which need to be individually installed and executed to generate such information, a user-friendly tool with low system requirements which combines the various computational processes into one package, using a docker container, is lacking.ResultsIn this study, we present a user-interactive, infrastructure-independent computational pipeline, called Motifizer, which uses open source tools for processing ChIP-Seq and RNA-seq datasets. Motifizer performs extensive analysis of raw input data, performing peak calling, de-novo motif analysis and differential gene expression analysis on ChIP and RNA-seq datasets. Additionally, Motifizer can be used for analysis and quantitative comparison of transcription factor binding sites in user defined genomic regions. Motifizer also allows easy addition and/or changes to analysis parameters, thereby adding to the versatility of the tool.ConclusionThe Motifizer tool is an easy to use tool which uses a docker container system to install and execute ChIP-seq and RNA-seq data parsing. The Analysis module of Motifizer can be employed to identify putative targets involved in gene regulatory networks. Motifizer can be accessed by a large user base and does not require programming skill by the user. Motifizer can be locally installed from the repository (https://github.com/abhikbhattacharjee/Motifizer)
The role of the Poincaré indicating a new direction in the analysis of the genetic network
Authors: Shahrear Pabel , Shahrear Pabel , Habiba Ummey , Shahrear Rezwan
Published: June 2022

The authors have requested that this preprint be removed from Research Square.
Open and Green Areas as a Gathering Area the Case of Küçükçekmece, Istanbul
Authors: Aksoy Yıldız
Published: June 2022

Gathering areas are needed for protected against possible risks that may arise during and after the earthquake. Green areas, which have an important role in the organic bond to be established between the ecological, physical, and economic functions before the earthquake, and human health and living space, assume the function of gathering areas after earthquakes and other possible disasters. The research aims to calculate, plan and create sufficient green areas that can be used after a possible earthquake taking into account the risk and disaster management approach. A competency assessment of gathering areas at the level of neighborhoods was made with the proposal of a norm of 2 m2 per capita. As a result of the evaluation, it was observed that norm deficit (area deficit) did not occur in the gathering areas in the neighborhood of Atakent, Beşyol, Fatih, Halkalı Merkez, Istasyon, Söğütlüçeşme, Tevfikbey and Yeşilova.
The influence of different glucose tolerance on QTc interval: a population-based study
Authors: Lin Ning , Zhang Hongmei , Li Xiaoyong , Niu Yixin , Gu Hongxia , Lu Shuai , Yang Zhen , Qin Li , Su Qing
Published: June 2022

Background
Corrected QT (QTc) interval has been reported to be associated with type 2 diabetes. This study aimed to explore the relationship between different glucose tolerance and QTc interval among middle-aged and older Chinese individuals.
Methods
We conducted a cross-sectional analysis that included 9898 subjects (3194 men and 6704 women) in a Chinese population. Glucose tolerance was studied during OGTT. Insulin, blood pressure, HbA1c, serum lipids, hepatic transaminases and waist-to-hip ratio were assessed.The QTc interval was derived from ECG recordings, and the subjects were stratified based on different glucose tolerance.
Results
QTc interval levels were increased significantly in the subjects with abnormal glucose metabolism compared with the normal glucose regulation group. Multiple regression analyses QTc interval was significantly associated with fasting plasma glucose, 2-h OGTT plasma glucose and HbA1c. The odds ratios of prolonged QTc was 1.396 for IFG/IGT (95% CI: 0.126–1.730), 1.342 for type 2 diabetes (95% CI: 0.142–1.577) after all the potential confounders were adjusted.
Conclusions
IGR and diabetes are associated with prolonged QTc interval among middle-aged and older Chinese individuals. Abnormal glucose regulation can be used to monitor QTc interval in the population.
HYPERTROPHIC CARDIOMYOPATHY SIMULATING AN ACUTE CORONARY SYNDROME
Authors: Marraki Z.El , Bouzhir A. , Bouanani A.EL , Mouine N. , Benyass A.
Published: June 2022

Hypertrophic cardiomyopathy corresponds to myocardial hypertrophy >15mm or >13mm in case of familial hypertrophic cardiomyopathy (HCM).We report the case of a 31-year-old patient with no cardiovascular risk factors and no notable history who was admitted to the emergency room for the management of prolonged resting chest pain associated with electrical changes in the electrocardiogram (EKG)given the clinical symptomatology and the overshift with the mirror image. A coronary angiography was performed and came back without any particularity. The diagnosis of non-obstructive septal HCM was made based on echocardiography and cardiac magnetic resonance imaging (MRI) findings.The patient stayed in the cardiac intensive care unit with a good clinical course, he was declared to be discharged under symptomatic treatment given the non-obstructive nature and the low risk of sudden death.
Population growth and food security: Evidence from Nigeria
Authors: O. Aiyedogbon John , O. Anyanwu Sarah , Hezekiah Isa Grace , Petrushenko Yuriy , Zhuravka Olena
Published: June 2022

The average agriculture output growth between 2011–2020, which stood at 3.5% against the backdrop of over 2.6% population growth rate, accounts for the present food insecurity, hunger, and malnutrition in Nigeria. The study aims to examine the impact of population growth on food security in Nigeria with data covering 1986–2020. The study employed two models: the first model analyzed agriculture output as a function of population growth rate. The second model examined the impact of population growth and agriculture productivity on economic growth. The Cochrane-Orcutt iterative method on an ordinary least squared (OLS) was employed. The study results found that population growth had a significant impact on agriculture output. However, the paper further substantiated that economic growth is significantly and positively responsive to changes in agriculture output and population growth rate in Nigeria. Among other things, the study recommended the government consider an increase in budget allocation to the agriculture sector so as to boost food output. Finally, the government may also consider introducing a policy that would encourage small families, thereby reducing the country’s population growth rate.
Simulações de Sustentabilidade na Produção de Alimentos da Agricultura Familiar do Estado do Maranhão
Authors: Rocha Stalys Ferreira , Lemos José de Jesus Sousa , Campos Robério Telmo
Published: June 2022

O presente artigo tem por objetivo avaliar, de forma experimental, a possibilidade de manter a produção agregada das lavouras de arroz, feijão, mandioca e milho sem expandir às áreas cultivadas, a partir da média histórica, em cada uma das dez regiões em que o Maranhão foi subdividido de acordo com as suas condições climáticas, entre 1980 e 2016. Para analisar a sustentabilidade das lavouras e, se há diferenças estatísticas entre os dois grupos avaliados na pesquisa, criou-se o índice de sustentabilidade (ISUS), por meio de técnicas de programação linear. Os resultados encontrados mostraram que em todas as dez regiões estudadas é possível produzir arroz, feijão, mandioca e milho de forma sustentável de um ponto de vista econômico, tecnológico e ambiental sem que haja expansão de áreas a partir de um determinado valor, bastando que os agricultores tenham acesso às tecnologias que viabilizem maiores níveis de produtividade.
Os Limites à Gestão de Recursos Hídricos no Estado do Pará: Uma Análise Técnica
Authors: Cirilo Brenda Batista , Almeida Oriana Trindade de
Published: June 2022

A gestão dos recursos hídricos na região Norte do Brasil, onde está localizada a maior porção da Amazônia brasileira, é considerada de baixa complexidade pelo governo federal, em virtude da existência de problemas e conflitos considerados pontuais. A tão propagada abundância de água, que coloca a região em uma posição ainda considerada confortável, estimula a instalação de grandes projetos de alto impacto sobre os recursos hídricos, destacando-se que o planejamento e a gestão devam priorizar a democratização do acesso e o uso racional. O Estado do Pará encontra-se em estágio pouco avançado na gestão de recursos hídricos, refletindo o que se observa na região Norte. Apurar os fatores limitantes ao avanço da gestão de recursos hídricos no Pará é o objetivo deste artigo, que focou na análise da atuação do órgão gestor, a Secretaria de Estado de Meio Ambiente e Sustentabilidade do Pará (Semas/PA) e no estágio da instituição dos instrumentos de gestão e dos comitês de bacia hidrográfica previstos na legislação federal e estadual. Além de pesquisa bibliográfica, foram analisados documentos produzidos até o ano de 2019 pela Semas/PA, e foram realizadas entrevistas em 2018 com servidores e ex-servidores, ocupantes de cargos estratégicos. Os resultados mostram limitações tanto de natureza estrutural, como necessidade de maior autonomia do órgão gestor e aumento da equipe de trabalho, quanto de natureza institucional, como predominância de interesses diversos à conservação ambiental e ausência de foco no planejamento estratégico.
Técnicas E Ferramentas No Processo De Gestão Do Conhecimento Em Uma Empresa De Base Tecnológica
Authors: Welchen Vandoir , Mukendi Joel Tshibamba , Fachinelli Ana Cristina , Pedro Éderson de Almeida
Published: June 2022

Empresas de Base Tecnológica (EBTs) são dependentes de conhecimento, recurso fundamental para a criação de valor, a inovação e a obtenção de vantagem competitiva. A habilidade em identificar, criar, armazenar, compartilhar e aplicar esse conhecimento permeia as EBTs, constituindo-se fundamental sua gestão. O objetivo deste estudo consiste em identificar, de acordo com o manual de técnicas e ferramentas de Gestão do Conhecimento (GC), de Young (2010, 2020), técnicas e ferramentas utilizadas no processo de GC em uma EBT do sul do Brasil. Para tanto, adotou-se uma abordagem qualitativa, por meio de um estudo de caso único, com objetivos exploratório e descritivo e com uso de dados primários e secundários. A partir da análise desses dados, realizada por intermédio da análise de conteúdo com auxílio do software NVivo® 12, identificaram-se técnicas e ferramentas para cada uma das cinco fases do processo de GC. A organização dessas fases revelou potencial para transformar o conhecimento em vantagem competitiva. Assim, este estudo contribui com a literatura sobre o assunto, confirmando, mediante evidências empíricas, que o manual constitui um caminho eficaz para identificar técnicas e ferramentas do processo de GC. Além disso, o framework do processo de GC apresentado a partir do manual pode auxiliar a identificar as áreas que devem concentrar as iniciativas de GC na empresa, instituindo oportunidades de melhoria que possam refletir ainda mais no desempenho empresarial.
A termékenységi átmenet egy dél-alföldi német közösségben: Nemesnádudvar (1850-1945)
Authors: Kis Diána , Őri Péter
Published: June 2022

Tanulmányunk a magyarországi preindusztriális termékenység szintjét és a termékenységi átmenet sajátosságait kutatja egy dél alföldi római katolikus német közösségben. A termékenység változásának mikroelemzése az elmúlt évek hazai kutatási programjába illeszkedik: anyakönyvekre épülő családrekonstitúciós adatbázis elemzése segítségével teszünk kísérletet a magyarországi termékenységi átmenet időzítésének és részleteinek megismerésére, megértésére. Az anyakönyvi adatok összekapcsolását – akárcsak más németlakta település esetén – ez esetben is helytörténészek végezték, összeállítva a falu genealógiai táblázatait. Mindez nagymértékben megkönnyítette munkánkat, kész családrekonstitúciós anyaggal dolgozhattunk, amely ugyan sok ponton korrekcióra, javításra szorult, mégis jelentős időmegtakarítással járt. Dolgozatunkban először a hagyományos forráskritikai vizsgálatokat végeztük el, majd kiszámoltuk a termékenységgel kapcsolatos arányszámokat. Végül a gyermekvállalás változásait részleteiben, eseménytörténeti modellek alkalmazásával elemeztük, majd a házas, legalább egy gyermeket már szült nők reprodukciós élettörténetét vizsgáltuk, további gyermekvállalásuk valószínűségét, annak meghatározó tényezőit igyekeztünk feltárni. A településre vonatkozó makro termékenységi mutatók (születésszámok, általános és teljes házas termékenységi arányszámok, korspecifikus házas termékenységi arányszámok) szerint a termékenységcsökkenés már az 1880-as évektől elindult a településen, majd a gyermekvállalás az első világháborús mélypont után egy a korábbihoz képest jóval alacsonyabb szintre kerülve a kétgyermekes családmodell felé mozdult el. A két háború közötti korszakban már jól kivehető a magasabb női életkorokban a születésszabályozás. A csecsemő- és gyermekhalandóság erősen befolyásolta a gyermekvállalást, különösen a magasabb paritások esetében, hiszen a legfontosabb szempont a család demográfiai reprodukciójának a biztosítása volt, megfelelő számú, a felnőttkorig túlélő gyermek születése által. A termékenységi átmenet lefolyása lényegében hasonló a Buda környékén és a Nyugat-Dunántúlon tapasztaltakhoz, ugyanakkor más német falvakhoz (pl. Zsámbék) viszonyítva a termékenység premodern szintje alacsonyabb és a csökkenés is korábban kezdődik. Ugyanakkor a gyökeres fordulatot itt is az első világháború hozza, az új termékenységi magatartás teljesen csak a háború után formálódik ki.
MOĞOL İSTİLÂSI SÜRECİNDE KÜBREVÎ BİR DERVİŞ: NECMEDDÎN-İ DÂYE’NİN GÖZÜYLE ORTAÇAĞ ANADOLU’SUNA DAİR BAZI DEĞERLENDİRMELER
Authors: YILMAZ Eyyüp
Published: June 2022

Orta Asya’dan gelen bir kasırga gibi önlerine çıkan devletleri ve son derece gelişmiş şehirleri harap eden Moğol istilâsı nedeniyle yaşanan göçlerin Anadolu sûfîliği üzerinde de oldukça etkili olduğuna dair genel değerlendirmelere rağmen bu sürecin nasıl gerçekleştiği henüz aydınlatılmış değildir. İstilâ hareketiyle birlikte Anadolu’ya hangi şeyh ve dervişlerin geldiği sorusu da kesin bir cevaba kavuşmamıştır. Ayrıca Anadolu’nun dinî-tasavvufî çehresini değiştiren zümrelerin bu coğrafyada nasıl bir iktidar, toplum ve tasavvuf yapısıyla karşılaştıkları da cevap bekleyen bir diğer soru olarak önümüzde durmaktadır. Mezkûr sorulara bazı cevaplar aranan bu çalışmada, Necmeddîn-i Dâye’nin hayatı ve Anadolu hikâyesi merkeze alınmıştır. Zira istilâ sürecini tecrübe eden Kübrevî derviş, Selçuklu Sultanı I. Alâeddin Keykubad’a sunduğu Mirsâdü’l-İbâd adlı eserinde Moğollar zamanında neler yaşadığını, Anadolu’ya neden göç ettiğini, göç esnasında hangi güzergâhtan geçtiğini nakletmesi bakımından müstesna bir konuma sahiptir. Onun bu konumunu perçinleyen bir diğer husus ise Anadolu’nun dinî-tasavvufî hayatına dair bazı değerlendirmelerde bulunmasıdır. Yeni bir yaşamın idamesi için geldiği Selçuklu Anadolu’sundan bir süre sonra ayrılan Necmeddîn-i Dâye, Mermûzât-ı Esedî adlı eserini ise Erzincan hâkimi Alâeddin Dâvudşah’a sunmuştur. Bu eserinde geçen betimleyici ifadeler her ne kadar şahsî mülahazalar olsa da bir dervişin nazarından Ortaçağ Anadolu’sunda oluşan mezkûr yapıyı anlamamıza katkı sağlamaktadır. Dolayısıyla onun bu hususta bizlere aktarmış olduğu her bir satır ayrı bir önem taşımaktadır. Ancak buna rağmen Necmeddîn-i Dâye’nin Anadolu hikâyesine dair bazı hususlar karanlıkta kalmaktadır. Bu çalışmada çağdaş ve modern araştırmaların yanı sıra kültür tarihi kaynakları addedilen menâkıbnâmelerden hareketle hikâyenin cevap bekleyen bazı yönleri de aydınlatılmaya çalışılmıştır.
SELÇUKLULAR ZAMANINDA ANADOLU’DA TASAVVUFÎ ZÜMRELER Ürkmez, Rauf Kahraman (2020). Selçuklular Zamanında Anadolu’da Tasavvufî Zümreler Konya: Çizgi Kitabevi ISBN: 978-605-196-402-7, 1.Baskı, 456 s.
Authors: BALTACI Halil
Published: June 2022

Türklerin Anadolu’yu fethedip Müslüman yurdu hâline getirmelerinin başlangıcı olan XII-XIII. Yüzyıllara dair tarih çalışmaları, araştırmacıları zorunlu olarak tasavvuf ve tasavvufî zümrelerle yüz yüze getirmektedir. Anadolu’nun Müslümanlık tarihi, bir bakıma tasavvufî tarihi de demek olduğundan, tarih alanında, tasavvufî düşünce ve kurumlara dair çalışmaların dikkate değer sayıda çoğaldığı görülmektedir.
Hydrological and water quality simulation and future runoff prediction under CMIP6 scenario in the upstream basin of Miyun Reservoir
Authors: Zhang Jing , Ma Sijie , Song Yongyu
Published: June 2022

Water resources are a key factor restricting human survival and social and economic development. The Miyun Reservoir, which is the only surface drinking water source in Beijing and the water storage reservoir of the South-to-North Water Diversion Project, plays a decisive role in ensuring water-use sustainability of the capital. This study focused on the Baihe River Basin, which is one of the important inflows of the Miyun Reservoir. The mathematical data on the climate and hydrological changes of the Baihe River Basin over the past 30 years were obtained, and the evolution law of the Baihe River runoff and its influencing factors was analyzed. Our analysis used the data obtained via multi-source meteorology to establish the Soil and Water Assessment Tool (SWAT) model of the Baihe River Basin. Sequential Uncertainty Fitting version 2 (SUFI-2) and Generalized Likelihood Uncertainty Estimation (GLUE) were used to simulate runoff from 1990 to 2017 on a monthly scale, along with sediment, total nitrogen (TN), and total phosphorus (TP) contents from 1990 to 2010. Then, the parameter uncertainty of the SWAT model and the applicability of the SWAT model in the Baihe River Basin were determined. The land-use transfer matrix showed that land-use changes are complex and the transformation forms are diverse. The simulation results showed that the transformation of land-use patterns in 1990 and 2010 had slight impacts on the hydrologic and water quality of the basin. By identifying the key source areas of non-point source pollution in the basin, the impacts of three management measures on the hydrological and water quality of the basin were simulated. The results showed that the reductions in flow rates, sediment content, TN, and TP (4.37, 31.93, 23.13, and 35.30%, respectively) obtained through terrace engineering were significantly better than those acquired via stubble mulch and contour planting. Additionally, this study uses the Sixth International Coupling Mode Comparison Program (CMIP6) climate change scenario and the BCC-CSM2-MR climate model coupled with the corrected SWAT model to predict future runoff, thereby providing references and suggestions for managing the Baihe River Basin and the Miyun Reservoir.
Social knowledge, attitudes, and perceptions on wastewater treatment, technologies, and reuse in Tanzania
Authors: Msaki Gerubin Liberath , Njau Karoli Nicholas , Treydte Anna C. , Lyimo Thomas
Published: June 2022

This study assessed the social knowledge, attitude, and perceptions (KAPs) on wastewater treatment, the technologies involved, and its reuse across different wastewater treatment areas in four regions of Tanzania. We used both quantitative and qualitative data collection methods in a household-level questionnaire (n=327) with structured and semi-structured questions, which involved face-to-face interviews and observation. Our results show that social KAPs surrounding wastewater treatment and reuse were sufficient based on KAP scores achieved from asked questions. However, the general knowledge on treatment technologies, processes, and reuse risks was still low. Of the respondents, over 50% approved using treated wastewater in various applications, while the majority (93%) were reluctant if the application involved direct contact with the water. Furthermore, over 90% of interviewees did not know the technologies used to treat wastewater and the potential health risks associated with its use (59%). Multivariate analysis of variance revealed significant differences (P<0.05) in the KAPs on treated wastewater across different studied demographic variables, i.e., age, sex, and education level. Therefore, we recommend that more effort be spent on providing public education about the potential of wastewater treatment and existing technologies in order to facilitate their adoption for the community's and environment's benefit.
Extended Subsite Characterization of Carboxypeptidase Y Using Substrates Based on Intramolecularly Quenched Fluorescence
Authors: Olesen Kjeld , Meldal Morten , Breddam Klaus
Published: June 2022

The relation between substrate length and activity as well as the P1 to P5 substrate preferences of CPO-Y has been investigated using a library of substrates based on intramolecularly quenched fluorescence. With respect to substrate length the enzyme displays a strong preference for longer peptides, i.e. a heptapeptide is hydrolyzed 52000-fold faster than a dipeptide. At all positions the enzyme displays a preference for hydrophobic side chains that decreases with the distance to the scissile bond, i.e. 3500-fold for P1 as compared
with 10-fold for P5 A peptide "optimized" in positions P1 throughout to P5 is hydrolyzed 6X 1017 -fold faster
than a "minimal" peptide.
Preliminary Crystallographic Analysis of Anti P-Glycoprotein Specific FAB MRK-16 in Complex with its Antigenic Peptide
Authors: Vasudevan Sona , Johns Kathy , Tsuruo Takashi , Rose David R.
Published: June 2022

The antigen binding fragment (Fab) of anti-peptide monoclonal antibody MRK-16 raised against multidrug resistance associated P-glycoprotein has been crystallized in complex with its epitope. The crystals of the complex belong to the monoclinic system in spacegroup P21. The volume of the crystal is consistent with the presence of two Fab complexes-' per asymmetric unit. Refinement of the structure is in progress.
Menopausal symptoms in women aged 40-65 years in Indonesia
Authors: Diyu Ida Ayu Ningrat Pangruating , Satriani Ni Luh Adi
Published: June 2022

This study aims to determine the prevalence of menopausal symptoms and the factors that influence it in women aged 40-65 years in Denpasar, Indonesia. The research design used is a cross-sectional study conducted on 318 women aged 40-65 years who live in the area of community health centre in Denpasar City, Indonesia. The Stages of Reproductive Aging Workshop (STRAW+10) was used to classify pre, peri and post menopause. The instrument used is a self-designed instrument to determine the respondent's characteristics such as age, number of children, age at menarche, occupation, marital status, education, exercise habits, coffee drinking habits and history of hypertension and diabetes mellitus. know menopausal symptoms. Logistic regression was used to determine risk factors for severe menopausal symptoms. The most common symptoms felt by the respondents in this study were joint and muscle discomfort (52.8%) and sleep problems (51.8%). Only 32.1% of women experienced hot flushes and night sweats symptoms of moderate and severe severity. Age at menarche, history of chronic diseases such as hypertension and diabetes mellitus are risk factors for severe menopausal symptoms. Most women when entering menopause complain of more than one menopause symptom, both somatic, psychological and urogenital symptoms.
Sistemas silvopastoriles enriquecidos: una propuesta para integrar la conservación en la producción ganadera en comunidades rurales de Los Tuxtlas, México
Authors: De la Peña-Domene Marinés , Ayestarán-Hernández Luz María , Márquez-Torres José Flavio , Martínez-Monroy Fernando , Rivas-Alonso Edith , Carrasco-Carballido Patricia Valentina , Pérez-Cruz Miguel Neftalí , Chang Landa Frankis Antonio , Martínez-Garza Cristina
Published: June 2022

Antecedentes y Objetivos: La producción ganadera es la principal causa de destrucción del hábitat y de la extinción de especies a nivel mundial. Es también un fuerte contribuyente a las emisiones de gases de efecto invernadero. En Latinoamérica, la ganadería es la principal actividad económica de muchas comunidades rurales, por lo que establecer plantaciones de restauración en pastizales podría brindar servicios ecosistémicos con beneficios directos e indirectos sobre la producción de ganado. Los sistemas silvopastoriles alcanzan niveles de producción iguales o superiores a los sistemas convencionales y prolongan la vida útil de las tierras productivas. Este trabajo examina la integración de sistemas silvopastoriles con la restauración con árboles nativos de importancia económica y para la conservación. Nos referimos a estas parcelas como sistemas silvopastoriles enriquecidos (SSPE). Presentamos los resultados de las primeras etapas de establecimiento de estos sistemas que buscan mejorar los medios de vida de los ganaderos y a mantener la conectividad del paisaje, los servicios ecosistémicos y la conservación de especies de la selva tropical.Métodos: En 2016, establecimos SSPE en una parcela piloto en Los Tuxtlas, México, plantando 16 especies de árboles nativos y Leucaena esculenta (DC.) Benth. como árbol forrajero. Paralelamente, se condujeron talleres de alternativas ganaderas en el ejido de Balzapote para incrementar las posibilidades de incidencia social. Resultados clave: La sobrevivencia de los árboles plantados fue en promedio de 40.7%. La parcela demostrativa ha servido para acercar a los agricultores a diferentes alternativas más productivas. Observamos una reducción en los costos de mantenimiento debido a que los productores no dependen de insumos externos.Conclusiones: Como resultado de la implementación del SSPE, la producción ganadera mejoró, lo que resulta en una disminución en el uso de agroquímicos. Los SSPE brindan complejidad al paisaje que dará como resultado sistemas más resilientes frente al cambio climático.
General Practitioners’ Experiences of Professional Uncertainties Emerging from the Introduction of Video Consultations in General Practice: Qualitative Study (Preprint)
Authors: Nordtug Maja , Assing Hvidt Elisabeth , Lüchau Elle Christine , Grønning Anette
Published: June 2022

BACKGROUND

Uncertainties are omnipresent in health care, but little is known about general practitioners’ (GPs) professional uncertainties concerning digital consultations. This is problematic, as many countries have undergone an extensive digital transformation.

OBJECTIVE

The aim of this study was to explore the professional uncertainties that emerged among Danish GPs with the introduction of video consultations.

METHODS

We conducted qualitative interviews with 15 Danish GPs during the beginning of the COVID-19 pandemic in 2020. The interviews were analyzed using an abductive approach.

RESULTS

We identified 3 categories of uncertainty: integrity, setting, and interaction. Respectively, these 3 categories of uncertainty refer to (1) uncertainties related to how technology may impede the provision of health care; (2) uncertainties related to the potentials of video technology; and (3) uncertainties related to how the video consultation technology affects interactions with patients.

CONCLUSIONS

The uncertainties experienced by Danish GPs appear to be a typical reaction to the introduction of new technology. Embedding video consultation technology into GPs’ working routines will take time, and GPs do not necessarily feel intuitively capable of transferring their abilities, such as being good and socially present for video-mediated consultations. The heterogeneity of professional uncertainties experienced among the GPs suggests that they are the product of individual GP-technology relationships—not of the technology in itself. Consequently, we cannot expect that uncertainties can be remedied by changing or precluding new technology.