bluuebunny/crossref_metadata_2025 huggingface dataset:
Redescobrindo o sistema reprodutor
Authors: Menezes Jones , Pereira Mayara
Published: June 2023

O presente trabalho tem como objetivo relatar o desenvolvimento de uma sequência didática investigativa sobre temáticas relacionadas ao sistema reprodutor e tópicos sobre sexualidade. A sequência didática foi aplicada em uma turma eletiva de “Biologia para o Enem”. Participaram alunos da 2ª e 3ª séries de uma escola estadual de ensino médio, localizada no município de Maracanaú/CE. Foram necessárias 4 horas/aulas para sua aplicação, seguindo o modelo dos 5E. Podemos observar inicialmente que o entendimento conceitual sobre o sistema reprodutor era superficial. A partir daí foram propostas o desenvolvimento de pesquisa sobre o tema e elaboração de mapas mentais produzidos a partir de pesquisas feitas pelos alunos acerca da temática da aula. Em seguida, estes foram analisados e 77% estavam com todas as informações solicitadas e corretas conceitualmente. Isto posto, demonstra a eficácia da estratégia proposta, tendo os alunos participado de forma ativa, crítica, reflexiva e demonstrando efetivo entendimento do tema.
Programa diverpet
Authors: Rafaela Miranda Karla , Dolzan Sabrina , Baggenstoss Ana Letícia , De Oliveira Édina , Beatriz Silva Clara , Dobrotnick Mirela , Branco Ferreira da Silva Hariany , Giovanna de Araújo Menezes Maria , Kitamura Eunice Akemi
Published: June 2023

Anteriormente à pandemia da COVID-19, o Programa DiverPet realizava ações extensionistas presenciais com crianças estudantes das escolas públicas municipais com o objetivo de educá-las sobre a prática do bem-estar e saúde animal, enriquecimento ambiental, meio-ambiente, reciclagem e sustentabilidade. Esses temas foram trabalhados de forma integrada, por meio de explicações, demonstrações de vídeos, confecções de brinquedos para cães e gatos com materiais recicláveis e de baixo custo, além de aplicação de avaliação da aprendizagem ao final da ação presencial. Desde Abril de 2020 as atividades extensionistas transformaram-se em virtuais com a utilização das mídias digitais, como as plataformas Instagram® e Facebook®, respeitando as medidas sanitárias de distanciamento social. Bons resultados foram colhidos desta recriação das atividades extensionistas remotas obtendo, no período de abril de 2020 até março de 2021, 6.047 visualizações no Instagram®,e 5.406 no Facebook®. Na comparação entre os vídeos-tutoriais, o brinquedo “Saturno” destacou-se em ambas as redes com a média de 140,5 acessos. Analisando as publicações do Boletim Informativo COVID-19 o nº 03 foi o mais acessado, com a média de alcance de 220,5 pessoas, tratando sobre o tema “Recomendações para tutores e profissionais durante o atendimento médico veterinário”. O objetivo deste relato de experiência foi apresentar os métodos adotados na reinvenção e criatividade para a manutenção das práticas extensionistas no formato virtual, utilizando o apoio de ferramentas como as redes sociais e mídias digitais e também compartilhando os resultados obtidos nestas ações extensionistas remotas executadas até este momento.
O uso das águas da lagoa para irrigação de lavouras no interior
Authors: Vargas dos Santos Camila , Novello Tanise Paula , Zepka Pereira Junior Errol Fernando
Published: June 2023

O uso inadequado de água para as irrigações de diversas culturas agrícolas tem sido um problema cada vez mais recorrente, podendo ocasionar a degradação do solo, a contaminação por defensivos químicos, a escassez da água, entre outros. Nesse sentido, o presente artigo tem como tema central a utilização das águas da Lagoa dos Barros/RS para irrigação de lavouras de arroz. A partir das leituras realizadas, foi construída uma análise de três eixos problematizadores. O primeiro eixo, referente à utilização das águas para irrigação, analisa como os entrevistados veem essa técnica, relacionando as respostas com discursos políticos presentes em determinados documentos oficiais. O próximo eixo trata do entendimento acerca dos impactos ambientais causados por esse sistema, citando alguns autores que problematizam a temática. E por fim, será apresentada a análise das percepções dos entrevistados sobre a irrigação, articulando as respostas com referenciais teóricos que abordam o tema.
Criação de podcast na área da Ciência da Nutrição como forma de divulgação científica
Authors: Gomes Paolla , Bastos Camila , Ramos Sthefany , Raymundo Manuela , Sonciniv Bianca , Aquino Luana , Teodoro Anderson
Published: June 2023

A divulgação científica é um método que idealiza democratizar o acesso às pesquisas e descobertas da ciência, assim como incluir a sociedade na discussão sobre temas científicos, sendo que como ocorre essa divulgação impacta em quanto ela é disseminada. Para alcançar cada vez mais a população, a utilização de mídias sociais para este fim é uma das possibilidades, como o uso de podcasts. Esse termo se refere a conteúdos em áudio disponibilizados pela internet, podendo ser baixados e ouvidos em qualquer lugar e a qualquer hora, e a linguagem empregada nos episódios são, em sua grande maioria, de fácil entendimento. Sendo assim, o objetivo deste trabalho é relatar a experiência no desenvolvimento de um podcast na área da Ciência da Nutrição como forma de divulgação científica para a população em geral, destacando as suas etapas de criação. Pode-se ao final do processo observar que o podcast em pauta, além de cumprir o objetivo imediato de levar informações sobre ciência e tecnologia em nutrição para a sociedade, ainda ajuda a formação de uma nova geração de comunicadores em ciência através dos alunos que participam do projeto.
A review on the applications of bayesian network in web service
Authors: Guinhouya Kouami A.
Published: June 2023

Web services (WS) are the preferred approach in realizing the service-oriented computing paradigm. However, this comes with challenges such as complexity and uncertainty that hinder their practical application. Bayesian networks (BNs) are one of the techniques used to address these challenges. The objective of this mapping study was to determine what is known about the use of Bayesian networks in web services research. To do this, we identified and selected rigorously 69 articles (out of the 532 identified) published on the subject in 2001-2021. We then classified and analyzed these articles by Web service themes (Service Composition, Service Management, Service Engineering), Objectives (Prediction, Description, Prescription), Types of BN (Basic, Combined, Extended), and Evaluation methods (Proof of concept, Experiment, No evaluation). In doing so, we hope to provide a clear understanding of the subject. We also identify and suggest avenues for future research. Thus, the review results can help researchers and practitioners interested by the application of BNs in WS research.
Window Processing of Wireless OFDM System in the Spectral Concentrated Interference Channel
Authors: Vanin Kirill , Ryu Heung-Gyoon
Published: June 2023

When there is any particular interference or jamming signal against the OFDM (orthogonal frequency division multiplexing) wireless communication system, it is badly serious problem for the communication performance even though the OFDM system is inherently robust to interference than the single carrier communication system. Therefore, it is very important to design the counter-measure to this kind of interference. So, in this paper, window processing using the weighting function is introduced to recover the information data in parallel with the spreading and error correcting method. This paper describes the wireless OFDM communication system in the strong SCI (spectral concentrated interference) channel. To make the windowing processing of OFDM Signal in the SCI channel, several weighting functions are used and analyzed in the time and frequency domain. So, window processing using the weight function in combination with nonlinear compensation method allows to increase robust against SCI and system improvement. Several window functions are proposed and compared to evaluated for the communication performances. Computer simulations show the differences in BER (bit error rate) performance in various conditions with various window functions. It can be concluded that the proposed method is pretty efficient in the SCI channel.
Exploration for cobalt/nitrogen-doped catalyst to creatinine degradation via peroxymonosulfate activation: Toxicity evaluation, statistical modeling and mechanisms study
Authors: Liu Jiadi , Dong Yawen , Kang Yu , Kong Qian , Wang Kuaibing , Mao Feifei , Bu Yuanqing , Zhou Rong , Zhang Chunyong , Wu Hua
Published: June 2023

Developing multifunctional catalysts applied in diversiform modes via advanced oxidation processes (AOPs) is a promising and attractive approach for organic pollutions degradation. Herein, a novel hollow bamboo-like structural cobalt/nitrogen-doped carbonized material (CoC/N) was employed as a catalyst for AOPs, in which CoC/N was prepared in situ through calcining a Co-based coordination polymer. When CoC/N was utilized as a peroxymonosulfate (PMS) activator, the catalyst standed out excellent activities for effective CA oxidation. Further, a five-level central composite rotatable design (CCRD) model describing CA decay as a function of PMS concentration, CoC/N dosage and solution pH value were successfully constructed and engaged to explore the optimal operating conditions. Meticulously, the possible degradation mechanism of CA in CoC/N-PMS system was proposed by quantum chemistry calculation and LC/MS analysis. This work shed light on the structural morphology of the catalyst and its PMS synergy degradation pathway, which promotes its applications in miscellaneous pollutants degradation.
Differences in Physicochemical properties and flavor components among different layers of medium-temperature Daqu
Authors: Liu Yanbo , Li Hanfei , Huang Runna , Li Haideng , Xu Yumin , Li Feifei , Shen Xiangkun , Han Suna , Pan Chunmei
Published: June 2023

Quality differences among three layers of Daqu were comprehensively studied by analyzing physicochemical indices and main enzyme system and using headspace solid-phase microextraction gas chromatography-mass spectrometry. The water content, fermentation ability and esterifying enzyme activity of Daqu among different layers all rank in the order of core > fire circle > surface, and the sulyase activity ranks as surface > fire circle > core, all showing significant differences. The acidity of Daqu surface is significantly higher and the amino acid nitrogen content is significantly lower compared with the fire circle and core. The starch content of the core is significantly higher and the cellulase activity is significantly lower compared with the surface and fire circle. The volatile flavor component analysis shows the Daqu contains 73 volatile substances, including alcohols, esters and phenols. Especially, the contents of methyl myristate, methyl hexadecanoate, ethyl hexadecanoate, caproic acid, octanoic acid, n-palmitic acid, 2,4,-(di)phenol, n-hexyl alcohol, tetramethylpyrazine, and phenylethanol are relatively high and all differ significantly among different layers of Daqu. The fire circle contains the most diverse volatile flavor components, including 39 types. Principal component analysis demonstrates that the volatile flavor components are largely different among different layers of Daqu.
Multi-scale Topology Optimization for Manufacturable Graded Lattice Structure via Neural Network Prediction Model
Authors: Wang Shihang , Zhang Junyuan , Zhou Hao , Zhang Le , Cao Kai
Published: June 2023

This paper presents a multi-scale topology optimization method based on neural network (MSTO-NN) for manufacturable gradient lattice structures (MGLS), which takes into account the manufacturing limitation of fine feature size. The establishment of the optimization model is firstly based on mechanics-based homogenization method to obtain the equivalent properties of lattice structure with larger cells. To balance computational efficiency and accuracy, a prediction model of the equivalent properties of lattice structures is constructed using neural networks, which replaces micro-scale finite element analysis. The sensitivity analysis of neural networks is derived and integrated into multi-scale topology optimization. To ensure the manufacturability of lattice structure, the material interpolation for MGLS based on ordered SIMP is proposed to filter the fine feature structure during optimization process. Numerical examples under 2D and 3D boundary conditions are performed to validate the proposed method. The results show that the proposed multi-scale topology optimization method can effectively realize the utilization of materials, improve the stiffness of the structure and ensure the feasibility of the manufacturing process. Moreover, the comparison of numerical examples reveals that the size of cell and fine feature size limitation have a significant impact on the structural design and performance.
Developmental competence and neonatal outcomes of nonpronuclear zygotes following single vitrified-warmed blastocyst transfers using propensity score matching analysis
Authors: Zhu Jie , Wang Cunli , Cao Zhenyi , Luan Kang , Wu Yan , Yin Huiqun
Published: June 2023

Purpose To investigate developmental competence and neonatal outcomes of nonpronuclear (0PN) zygotes following single vitrified-warmed blastocyst transfers (VBT).
Methods The clinical, laboratorial and neonatal data of 996 patients with ≤38 years who underwent blastocyst culture and single VBT were retrospectively analyzed. The pregnancy and neonatal outcomes of VBT were compared between 0PN and 2PN blastocysts using propensity score matching (PSM). Moreover, Day 3 (D3) embryo development and blastocyst formation were compared between 0PN and 2PN zygotes.
ResultsThere were no significant differences in clinical pregnancy rate (CPR), live birth rate (LBR) and neonatal outcomes of VBT between the 0PN and 2PN blastocysts irrespectively of whether PSM was used. However, early abortion rate (EAR) was higher in blastocysts from 0PN D3 embryos ＞10 cells (p＜0.05) before PSM. Moreover, the early developmental competence of 0PN zygotes was different from that of 2PN zygotes presenting higher percentages of D3 embryos ≤6 cells (p＜0.01) and ＞10 cells (p＜0.01), lower available blastocyst formation rate (ABFR) (p＜0.01) and good-quality blastocyst formation rate (GBFR) (p＜0.01) in D3 embryos with 4-6 cells. ABFR and GBFR increased with cell number when compared among embryos with 4-6 cells, 7-10 cells and ＞10 cells, irrespectively of 0PN or 2PN embryos.
ConclusionThe early developmental competence of 0PN zygotes was different from that of 2PN zygotes, but did not influence pregnancy and neonatal outcomes following VBT. ABFR and GBFR increased with cell number, irrespectively of 0PN or 2PN embryos.
An Eoq Model of a Decaying Item Having Fuzzy Deterioration With Freshness and Inflation Induced Fuzzy Demand Under
Authors: Mondal Rituparna , Jana Ranjan Kumar , Pramanik Prasenjit , Maiti Manas Kumar
Published: June 2023

The freshness of the units plays a significant role in stimulating the demand of any decaying item. The freshness of the units of such a product decreases with time, which in turn decreases the demand of the item. Under the circumstances, to boost the demand, the sellers normally decreases the unit selling price with time as well as apply different credit policies. Since a deteriorating item deteriorates for several factors, like, weather, preservation process, displayed units, storage area, season, etc., and hence it is not possible to estimate a crisp estimation of the deterioration rate of the units. So it is better to define this parameter as a fuzzy number using expert’s opinion. This paper investigates the retailer’s flow and inventory status of such a product with fuzzy deterioration rate, exponentially decaying dynamic unit selling price dependent dynamic demand under time-dependent partial trade credit policy. To boost the demand, the unit selling price is reduced exponentially with time. The model is formulated using fuzzy differential equation and fuzzy Riemann integration and the total fuzzy profit from the planing horizon is estimated. Finally the best business policy for the retailer in terms of the total fuzzy financial gain from the system is obtained. As the optimisation of any fuzzy objective is not yet properly defined, a fuzzy goal of the problem is determined, and the credibility measure of the fuzzy objective with respect to that fuzzy goal is optimised for the optimal marketing decision. An efficient fuzzy simulation approach is proposed for the determination of the said credibility measure. As the problem involves real as well as integer variables, a mixed-mode PSO approach is presented, implemented, tested and used to determine the best marketing decision. The model is analysed in three scenarios with crisp, fuzzy and rough data sets. The illustration of the model in different environments is done with different sets of hypothetical data and some managerial insights are outlined.
Flexible Crossbar Molecular Devices with Patterned EGaIn Top-Electrodes: Scalable Integration and All-Molecule-Circuit Implementation
Authors: Li Yuan , Cao Zhou , Xie Yu , Lin Jin-Liang , Zhong Shuai , Yang Zhenyu , Zhou Ziming , Peng Wuxian , Qiu Shengzhe
Published: June 2023

In this research study, we designed and fabricated a unique crossbar architecture, incorporating vertically integrated self-assembled monolayers (SAMs) in electronic devices. We used this architecture showcased 100 individual vertical molecular junctions on a single chip with high yield of working junctions and high device uniformity. The study introduced a transfer approach for patterned liquid-metal Ga/In alloy (EGaIn) top-electrodes enabling the creation of fully flexible molecular devices with electrical functionalities. The devices exhibited excellent charge transport performance, sustained high rectification ratio (> 103), and stable endurance and retention properties, even when devices were significantly bent. Furthermore, we successfully implemented Boolean logic gates, including OR and AND gates, as well as half-wave and full-wave rectifying circuits. The novel design of the flexible molecular device represents a significant step in harnessing the potential of molecular devices for high-density integration and possible molecule-based computing.
Integrated evaluation of the biological response of the earthworm Eisenia fetida using two glyphosate exposure strategies: soil enriched and soils collected from crops in Southeastern Mexico
Authors: Dzul-Caamal Ricardo , Vega-López Armando , Osten Jaime Rendon-von
Published: June 2023

Under laboratory conditions, the toxicological effects of pesticides tend to be less variable and realistic than in field studies, limiting their usefulness in environmental risk assessment. In the current study, the earthworm Eisenia fetida was selected as a bioindicator for assessing glyphosate toxic effects in two different trials to solve this question. In Trial 1, the worms were exposed for 7 and 14 days to concentrations of a commercial glyphosate formulation (1 to 500 mg a.i. kg − 1) currently in the field. For Trial 2, the worms were kept in nine soils collected from different plots with crops for 14 days of exposure. In both experiments, glutathione S-transferase (GST), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), and acetylcholinesterase (AChE) activities and contents of lipid peroxidation (LPO) were evaluated. In T1, glyphosate formulation produced a 40% inhibition of AChE activity and a significant increase in GST, SOD, CAT, GPx activities, and LPO contents of E. fetida on day 7. In T2, higher concentrations of glyphosate were detected in soils of soybean, papaya, and corn (0.92, 0.87, and 0.85 mg kg − 1), which induced a positive correlation between the levels of glyphosate residues with GST, SOD, CAT, GPx, and LPO, and negative with AChE. These findings indicate that crop soils polluted with glyphosate elicited higher oxidative stress than in laboratory conditions, confirmed by IBRv2, PCA, and AHC analysis.
MLKL deficiency alleviates neuroinflammation and motor deficits in the α-synuclein transgenic mouse model of Parkinson’s disease
Authors: Geng Lu , Gao Wenqing , Hexige Saiyin , Li Yuanyuan , Zeng Yu , Zhang Zhifei , Li Xue , Liu Zuolong , Gao Qiang , Jiang Ning , Yu Xiaofei , Chen Xiangjun , Li Suhua , Chen Lei , Li Aiqun , Chen Guoyuan , Shen Yidong , Tian Mei , Zhang Zhuohua , Li Jixi
Published: June 2023

Parkinson’s disease (PD), one of the most devastating neurodegenerative brain disorders, is characterized by the progressive loss of dopaminergic neurons in the substantia nigra (SN) and deposits of α-synuclein aggregates. Currently, pharmacological interventions for PD remain inadequate. The cell necroptosis executor protein MLKL (Mixed-lineage kinase domain-like) is involved in various diseases, including inflammatory bowel disease and neurodegenerative diseases; however, its precise role in PD remains unclear. Here, we investigated the neuroprotective role of MLKL inhibition or ablation against neuronal cell death induced by 6-OHDA and TNF-α. Using a mouse model (Tg-Mlkl−/−) generated by crossbreeding the SNCA A53T synuclein transgenic mice with MLKL knockout (KO)mice, we assessed the impact of MLKL deficiency on the progression of Parkinsonian traits. Our findings demonstrate that Tg-Mlkl−/− mice exhibited a significant improvement in motor symptoms and reduced phosphorylated α-synuclein expression compared to that in the classic A53T transgenic mice. Furthermore, MLKL deficiency alleviated tyrosine hydroxylase (TH)-positive neuron loss and attenuated neuroinflammation by inhibiting the activation of microglia and astrocytes. Single-cell RNA-seq (scRNA-seq) analysis of the SN of Tg-Mlkl−/− mice revealed a unique cell type-specific transcriptome profile, including downregulated prostaglandin D synthase (PTGDS) expression, indicating reduced microglial cells and dampened neuron death. Thus, MLKL represents a critical therapeutic target for reducing neuroinflammation and preventing motor deficits in PD.
“Sync fast and solve things” – best-practices for responsible digital health
Authors: Landers Constantin , Blasimme Alessandro , Vayena Effy
Published: June 2023

Established regulatory principles, oversight methods and ethical frameworks seem out of sync with digital health innovation. In this study, we shed light on how to address the gap between ethical principles and practice in digital health. We engaged key stakeholders (n = 46) operating at the translational frontier of digital health. After identifying current impediments to responsible digital health innovation, stakeholders proposed solutions to address them. We illustrate three solution clusters: i) inclusive co-creation, ii) responsive regulation, and iii) value-driven innovation. While the solution clusters constitute distinct approaches, they are highly interdependent. Our study shows that realizing responsible digital health requires diverse stakeholders’ commitment to adapt innovation and regulation practices, embracing co-creation as the default modus operandi for digital health development. We describe these collaborative practices and show how they can ensure that innovation is neither slowed by overregulation, nor leads to unethical outcomes.
The Role of Proadrenomedullin, Interleukin 6 and CD64 in the Diagnosis and Prognosis of Septic Shock
Authors: Turan Yasemin Bozkurt
Published: June 2023

Introduction: Sepsis and septic shock are disorders of tissue perfusion and microcirculation associated with increased mortality. The role of biomarkers such as proadrenomedullin (PRO-ADM), interleukin 6 (IL-6) and neutrophil CD64 (CD64) in the diagnosis and prognosis of septic shock has been studied. Methods: GCS, SOFA score, APACHE 2 score, lactate, CRP, procalcitonin, PRO-ADM, IL-6, CD64 level and 28-day mortality were evaluated in patients with septic shock followed-up in the intensive care unit of Marmara University Hospital between July 2021 and December 2021. The study was planned as prospective, non-drug clinical research Committee. Results: There were no statistically significant differences between patient groups in gender, BMI, and presence of comorbidities (p > 0.05). The alive patient group had significantly higher GCS values and lower SOFA, APACHE 2, lactate and CD64 values than the dead patient group (p < 0.01). The cut-off values of laboratory parameters were determined using ROC analysis to predict mortality, SOFA and CD64 had high AUC. This is also a good indicator for mortality.The multivariate logistic regression model was estimated using the backward selection method. The mortality of ICU patients was predicted by a SOFA-value ≥ 12 (OR (95%CI) = 56.13 (5.44–578.64)), CD64 value ≥ 28.54 (OR (95% CI) = 23.78 (2.61–216.85)), and ADM-value ≥ 86.79 (OR (95% CI) = 15.86 (1.02–246.49)) (p < 0.05) . Conclusion: In conclusion, serum CD64 level, PRO-ADM level, and SOFA score proved to be effective parameters for predicting prognosis and mortality in septic shock. However, IL-6 proved to be a weak biomarker and failed to predict mortality. CD64, which is easier and more practical to use, can be used instead of the SOFA score.
Inhibition of CDK4 as a potential therapy for natural killer cell lymphoma with MYC overexpression
Authors: Huang Yu-Hua , Ali Roshia , Wang Fang , Yang Xia , Bouska Alyssa , Lunning Matthew , Chan Wing-Chung (John) , Iqbal Javeed , Weisenburger Dennis , Vose Julie , Fu Kai , Bi Chengfeng
Published: June 2023

Current clinical management of Extranodal NK/T-cell lymphoma (ENKTL) primarily depends on conventional chemotherapy and radiotherapy, underscoring the need for innovative therapeutic strategies. This study explores the clinical significance and therapeutic potential of c-MYC (MYC) in ENKTL. Initially, we identified MYC protein overexpression in approximately 75% of cases within a large cohort of 111 patients. MYC overexpression was strongly correlated with lymphoma cell proliferation and poor clinical outcomes. Intriguingly, integrating MYC expression into the PINK-E prognostic model significantly enhanced its predictive power. Subsequently, we implemented MYC knockdown (KD) in NK lymphoma cell lines overexpressing MYC, resulting in significant viability reduction. Integrating the RNA-sequencing analysis upon MYC KD with gene expression profiles of primary ENKTL cases revealed a subset of genes closely associated with MYC overexpression. Among these, CDK4 emerged as a potential therapeutic target, and its inhibition not only abrogated MYC function but also decreased MYC expression in NK lymphoma cells. Furthermore, the clinical-grade CDK4/6 inhibitor palbociclib exhibited a potent anti-tumor effect in xenograft mouse models, especially when combined with gemcitabine. Collectively, our study firmly establishes MYC as a prognostically significant oncogene in ENKTL and highlights CDK4 inhibition as a promising therapeutic strategy for treating ENKTL with MYC overexpression.
Weight, weight gain and behavioural risk factors in women attending a breast cancer family history, risk and prevention clinic: an observational study
Authors: Pegington Mary , Belcher John , Barrett Emma , Virpal Pawandeep , Howell Anthony , Evans D Gareth , Harvie Michelle
Published: June 2023

Background
Weight and health behaviours impact on breast cancer risk. We describe trends in weight and health behaviours in women at entry to a specialist breast cancer family history clinic in Manchester, UK, and changes after clinic entry.
Methods
Questionnaires were completed at clinic entry (1987–2019, n = 10,920), and updated in 2010-11 (n = 3,283). Clinic entry characteristics were compared between joining periods 1989-98, 1999–2008 and 2009-18. Partial Least Squares analysis characterised trends in weight, smoking and alcohol intake by age at entry, year of entry and birth year. Weight changes were compared over time, between joining periods.
Results
Obesity at clinic entry increased from 10.6% in 1989-98 to 20.5% in 2009-18. Alcohol intake above recommendations and smoking prevalence decreased from 20.1–13.8% and 33.5–16.1% respectively. Weight gain was median 9.7 (IQR 1.4–20.6) % between age 20 and clinic entry (mean duration 11.9 ± 5.6 years) and a further 4.5 (0.0-12.5) % between clinic entry and 2010-11 (31.1 ± 10.4 years). Weight gain between age 20 and clinic entry was highest in the most recent joining period.
Conclusions
Obesity and weight gain are common in women attending a breast cancer family history clinic suggesting a need for weight management advice and support.
Efficacy and safety of corticosteroids, hyaluronic acid, and PRP and combination therapy for knee osteoarthritis：a systematic review and network meta-analysis
Authors: Qiao Xiaochen , Yan Lei , Feng Yi , Li Xiaoyan , Zhang Kun , Lv Zhi , Xu Chaojian , Zhao Sen , Liu Fengrui , Yang Xihua , Tian Zhi
Published: June 2023

Objective
To assess the effectiveness and safety of corticosteroids (CSC), platelet-rich plasma (PRP), hyaluronic acid (HA), and combination therapy for improving knee osteoarthritis (KOA).
Methods
The PRISMA principles were followed when doing the literature search. The study included randomized controlled trials that assessed the efficacy of CSC, PRP, HA, and combination therapy in treating KOA. The outcome measure included the visual analog scale (VAS) score, the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) score, and treatment-related adverse events. The network meta-analysis was performed using STATA17 software and a Bayesian stratified random effects model.
Results
Network meta-analysis using the Bayesian random-effects model revealed 35 studies with 3104 participants. PRP showed the best WOMAC score at a 3-month follow-up, followed by PRP + HA, HA, placebo, and CSC; PRP + HA scored the highest VAS, followed by PRP, CSC, HA, and placebo. PRP, CSC, HA, and placebo had the highest WOMAC scores six months following treatment; PRP + HA showed the best VAS scores. PRP showed the best WOMAC score at 12 months, followed by PRP + HA, HA, placebo, and CSC; The best VAS score was obtained with PRP, followed by PRP + HA, HA, and CSC. No therapy demonstrated a rise in adverse events linked to the treatment in terms of safety.
Conclusions
The current study found that PRP and PRP + HA were the most successful in improving function and alleviating pain after 3, 6, and 12 months of follow-up. CSC, HA, PRP, and combination therapy did not result in an increase in the incidence of treatment-related side events as compared to placebo.
Multi-Omics Clustering Reveals Disulfidptosis Typing in Hepatocellular Carcinoma and Correlates with Immune Features
Authors: Chen Guanjun , Zhang Ganghua , Zhu Yuxing , Wu Anshan , Fang Jianing , Yin Zhijing , Chen Haotian , Cao Ke
Published: June 2023

Hepatocellular carcinoma (HCC) is a highly prevalent and deadly cancer, with limited treatment options for advanced-stage patients. This study aimed to explore the potential of disulfidptosis, a novel form of cell death, as a prognostic and therapeutic marker in HCC.We classified HCC patients into two disulfidptosis subtypes (C1 and C2) based on the transcriptional profiles of 31 disulfrgs using a non-negative matrix factorization (NMF) algorithm. The low disulfidptosis subtype (C2) demonstrated better overall survival (OS) and progression-free survival (PFS) prognosis, along with lower levels of immunosuppressive cell infiltration and activation of the glycine/serine/threonine metabolic pathway. Five key signature genes (SLC7A11, SLC2A1, ADAM9, ITGAV, and PFKP) were identified to distinguish between the subgroups, and the constructed model exhibited high accuracy. The study also investigated the association of disulfidptosis with microsatellite instability, tumor immune microenvironment, and genomic mutational burden. Additionally, the low disulfidptosis group showed better responses to immunotherapy and potential antagonism with sorafenib treatment. The key genes SLC7A11 and SLC2A1 were identified as crucial for molecular typing and had excellent predictive power for patient survival. RT-qPCR was used to determine the mRNA levels of the two key genes mentioned above. Classification is a highly effective tool for predicting the prognosis and therapeutic response of patients, providing a valuable reference for accurate individualized treatment. The present study indicates that novel biomarkers related to disulfidptosis may serve as useful clinical diagnostic indicators for liver cancer, enabling the prediction of prognosis and identification of potential treatment targets.
Evolution of the bark beetle crisis in spruce (Picea abies) forests: A spatial and temporal remote sensing analysis in Belgium and North- eastern France
Authors: Gilles Arthur , Lisein Jonathan , Cansell Juliette , Latte Nicolas , Piedallu Christian , Claessens Hugues
Published: June 2023

In 2022, Europe emerged from eight of the hottest years on record, leading to significant spruce mortality across Europe. The particularly dry weather conditions of 2018 triggered an outbreak of bark beetles (Ips typographus), causing the loss of thousands of hectares of Norway spruce stands, including in Wallonia and North-eastern France. A methodology for detecting the health status of spruce was developed based on dense time series of satellite imagery (Sentinel-2). The time series of satellite images allowed the modelling of the spectral response of healthy spruce forests over the seasons: a decrease in photosynthetic activity of the forest canopy causes deviations from this normal seasonal vegetation index trajectory. These anomalies are caused by a bark beetle attack and are detected automatically. The method leads in the production of annual spruce health map of Wallonia and Grand-Est. The resulting map are used to assess the damage caused by bark beetle and to study the relation between the dieback and environmental conditions. Lasted six years (2017–2022), bark beetle has destroyed 12.2% (23,674 ha) of the spruce area in Wallonia and Grand-Est of France. This study area is composed of three bioclimatic areas: Plains, Ardennes and Vosges, which have not been equally affected by bark beetle attacks. The plains were the most affected, with 50% of spruce forests destroyed, followed by the Ardennes, which lost 11.3% of its spruce stands. The Vosges was the least affected bioclimatic area, with 5.6% of spruce stands lost.
Throughput Maximization for Irregular Reconfigurable Intelligent Surface Assisted NOMA Systems
Authors: Zhang Weilin , Wang Lingyi , Mao Hangtao , Wang Zi , Wu Wei
Published: June 2023

Reconfigurable intelligent surface (RIS) is an emerging technology to improve the spectral efficiency of wireless communication systems. However, the high complexity of beam design and the non-negligible overhead associated with RIS limit the number of elements that can be deployed in practice. In this paper, we investigate the downlink communications of irregularly deployed intelligent reflecting surfaces that assist non-orthogonal multiple access (NOMA) systems. To address this challenge, we propose a novel four-step resource allocation algorithm. Specifically, we first obtain a sub-optimal solution for the sparse deployment of RIS elements using a simulated annealing algorithm. We then solve the power allocation problem by employing an integer optimization algorithm that continuously iterates the immobile point. To simplify and optimize the reflection coefficient matrix, we propose a construction inequality algorithm. Finally, we optimize the channel assignment using a genetic algorithm. The simulation results demonstrate that the proposed irregular RIS-assisted NOMA system outperforms the traditional RIS-assisted orthogonal multiple access (OMA) system, with a maximum throughput increase of approximately 30%.
Electronic Correlations in Epitaxial CrN Thin Film
Authors: Kalal Shailesh , Nayak Sanjay , Sahoo Sophia , Joshi Rajeev , Choudhary Ram Janay , Rawat Rajeev , Gupta Mukul
Published: June 2023

Chromium nitride (CrN) spurred enormous interest due to its coupled magnetostructural and unique metal-insulator transition. The underneath electronic structure of CrN remains elusive. Herein, the electronic structure of epitaxial CrN thin film has been explored by employing resonant photoemission spectroscopy (RPES) and x-ray absorption near edge spectroscopy study in combination with the first-principle calculations. The RPES study indicates the presence of a charge-transfer screened 3dn L (L: hole in the N-2p) and 3dn−1 final-states in the valence band regime. The combined experimental electronic band structure along with the orbital resolved electronic density of states from the first-principle calculations reveals the presence of Cr(3d)-N(2p) hybridized (3dn L) states between lower Hubbard (3dn−1) and upper Hubbard (3dn+1) bands with onsite Coulomb repulsion energy (U) and charge-transfer energy (Δ) estimated as ≈ 4.5 and 3.6 eV, respectively. It verifies the participation of ligand (N-2p) states in low energy charge fluctuations and provides concrete evidence for the charge-transfer (Δ<U) insulating nature of CrN thin film.
A comprehensive analysis of multi-circulatory disorders in early pressure injury and their diagnostic significance in rat models
Authors: Chen Lu , Takashi En , Kamijo Akio , Miura Daiji , Lu Jian , Zhang Lan , Ten Hirotomo , Fan Jianglin
Published: June 2023

Early pressure injury (PI) progression is associated with multi-circulatory disorders and they interplay with each other, resulting in a lack of a satisfactory diagnostic method. We generated early PI and blanchable erythema (BE) models. Transparent disc method and capillary refilling time test (CRTT) results were recorded with ultraviolet camera to capture the dynamics changes, and the blanching index and refilling index were set for comprehensive analysis. The deteriorated areas of early PI showed non-blanchable erythema (NBE) and an increase in erythema at 0.5 and 6 h with the transparent disc method. CRTT showed a marked refilling delay at 12 h. The comprehensive analysis of blanching index and refilling index showed a significant change in erythema from NBE at 0.5 h and ischemia progressing to hemorrhage at 18 h. There was also a marked difference in the deteriorating and improving areas within the same erythema. Pathological analysis showed inflammatory cell infiltration, with marked edema accompanied by increased hemorrhage and tissue necrosis. Furthermore, small arteries and veins with thrombosis and microthrombi were observed. Consistent ischemia after decompression and subsequent hemorrhage are important indicators, and comprehensive analysis can help increase the positive diagnosis rate over that for other circulatory disorders alone.
Dichotomous Profile of Thoraco-lumbar Dislocation Fractures. Case Report and Review of the Literature
Authors: Maoneo Israël Azabali , Beltchika Antoine Kalubye , Kabulo Dieu-Merci Kantenga , Mukuetala Pierre ili-apanda , Ntsambi Glennie Eba
Published: June 2023

Background. Dislocated thoracolumbar fractures are rare injuries following major trauma. However, the resulting spinal cord injuries do not always correspond to the radiological characteristics of osteo-disco-ligamentary injuries. We report a case of thoracolumbar dislocated fracture of which radiological finding was in discrepancy with clinical aspect and postoperative evolution according to spinal cord injury.
Case presentation. A 32-year-old congolese female admitted in Neurosurgery Department of the University Hospital of Kinshasa for low back pain and functional impotence of lower limbs and urinary retention following a road traffic accident three weeks prior. The physical examination was normal. We found a painful swelling at level of T12-L2 spinous processes and Wagner's grade IV gluteal pressure sores. Neurologically, the sensation was preserved on both limbs, motor strength on lower limbs was graded 3/5 globally. She had urinary retention. We made a diagnosis of an incomplete spinal cord injury (ASIA C) secondary to a thoraco-lumbar spinal trauma. CT-Scan showed a fracture of the vertebral body and pedicles of L2 with retrolisthesis of L1/L2 grade IV (Magerl B.3.3). She underwent posterior spinal
decompression followed by spinal stabilisation with pedicle screws. The gluteal ulcers were
debrided and sutured during the same surgery. Postoperatively, the pressure ulcers healed
and the patient recovered full motor and urinary sphincter functions after several sessions of physiotherapy months.
Conclusion. This case report demonstrates the possibility of discordance between
radiological images of dislocated thoracolumbar fractures and spinal cord injury clinical.
Research on the heat dissipation performances of lithium-ion battery pack with liquid cooling system
Authors: Yang Jian
Published: June 2023

Lithium-ion power batteries have been applied to the new energy vehicles. However, the lithium-ion battery pack performances will be significantly decreased if the temperature is too high, according to the battery electrochemical characteristics. In order to the lithium-ion battery pack has great performances, the temperature should be kept in a appropriate range by a cooling system. Thus, this paper focused on the heat dissipation characteristics of the lithium-ion battery pack under various liquid cooling system parameters based on the synergistic analysis method. The results revealed that the liquid cooling system with the initial coolant temperature of 15℃ and the flow rate of 2L/min has better synergistic performances, and can effectively strengthen the cooling performances of the battery pack. With the charge/discharge rate increases, the battery heating power raises, the temperature and its synergy angle increase significantly. When the cooling channel inlets number is set as 3, the optimum cooling effect is got and the temperature difference of the battery pack is the smallest.
Disulfidoptosis-related gene SLC7A11, as a potential prognostic and immunological biomarker: Insights from pan-cancer analysis and validation in renal cancer
Authors: Chen Bohong , Zhou Mingguo , Wu Dapeng , Huang Haoxiang , Zhang Pan , Chen Wei , Wu Kaijie , Jiang Zhangdong , Dai Ruijie
Published: June 2023

Background
Solute Carrier Family 7 Member 11 (SLC7A11) is a key gene involved in disulfidoptosis and plays a crucial role in tumor development and progression. However, the prognostic value and immune function of SLC7A11 in cancer are still unclear.
Methods
In this study, we analyzed SLC7A11 expression using RNA-seq data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. We used the Kaplan-Meier method and Cox regression analysis to assess the prognostic significance of SLC7A11 in pan-cancer patients. We also investigated the mutation and methylation status of SLC7A11 using cBioportal and GSCALite databases. Moreover, we examined the correlation between SLC7A11 and immune cell infiltration, tumor mutational burden (TMB), microsatellite instability (MSI), and immune checkpoint genes. Additionally, we investigated the effect of SLC7A11 knockdown on cell function in786-O renal carcinoma cell lines.
Results
Our findings revealed that SLC7A11 was overexpressed in almost all tumors and was associated with poor survival, advanced clinical stage, and high tumor grade. The co-expression analysis also suggested that SLC7A11 might be a potential biomarker for guiding immunotherapy due to its correlation with immune cell infiltration, TMB, MSI, and immune checkpoint genes. Furthermore, we found that downregulation of SLC7A11 expression in renal cancer cells could lead to reduced invasion, metastasis, and proliferation.
Conclusion
In conclusion, SLC7A11, as a member of pan-oncogenes, could serve as a potential biomarker and therapeutic target for a wide range of malignancies, providing new insights into precision medicine.
Construction and validation of a simple, scoreable model for predicting infection risk in patients with multiple myeloma
Authors: Tu Shengke , Li Min , Hu Mimi , Shi Ziwei , Fan Hongjie , Li Xiaolan , Song Kui
Published: June 2023

Purpose To study the risk factors of infection in patients with multiple myeloma and construct an infection prediction model.
Methods The clinical data of 150 patients with multiple myeloma undergoing chemotherapy in the First Affiliated Hospital of Jishou University from January 2017 to December 2022 were retrospectively analyzed, and a prediction model for infection events was constructed.
Results 19 cases of infection in the modeling group (19/75, 25.33%) and There were 25 cases of infection in the validation group (25/75, 33.33%).Binary Logistic regression analysis showed that C-reactive protein level, fasting blood glucose level, lactate dehydrogenase level, ECOG score, and the percentage of bone marrow plasma cells were independent risk factors for infection in patients with multiple myeloma (P<0.05).The infection prediction model constructed by the above variables showed good accuracy. The area under the ROC curve of the modeling group and the validation group were 0.939(95%CI: 88.59%-99.29%) and 0.770(95%CI: 65.38%-88.70%), respectively.
Conclusion C-reactive protein level, fasting blood glucose level, lactate dehydrogenase level, ECOG score and percentage of bone marrow plasma cells are risk factors for infection in patients with multiple myeloma in this study. The prediction model of infection in patients with multiple myeloma has certain value for the prediction and early intervention of infection events.
The Implications of Ending Groundwater Overdraft for Global Food Security
Authors: Perez Nicostrato , Singh Vartika , Ringler Claudia , Xie Hua , Zhu Tingju , Sutanudjaja Edwin H. , Vilholth Karen
Published: June 2023

Water and food security are intrinsically linked, and both are affected by climate change and unsustainable groundwater (GW) withdrawals. To achieve the United Nation’s Sustainable Development Goal 2 on ending hunger, both food and water systems need to adapt to climate change. This includes limiting GW withdrawals to sustainable levels without compromising food security. To analyze the potential of reducing GW overdraft without compromising food security globally and at regional scales, we implement a suite of biophysical-economic, food-water models to evaluate the impact of climate change on food security and the incremental effects of GW conservation. We further assess the impacts of selected climate change adaptation policy interventions that promote GW conservation. Measures aimed at arresting GW depletion without complementary policy actions would adversely affect food production, resulting in upward pressures on food prices, particularly for cereals and fruits and vegetables. Several options can mitigate price impacts, including through improved water management, agricultural research, and dietary change. We find that climate adaptation and GW conservation, coupled with policies such as investment in agricultural R&D and changing consumption patterns toward more planet-friendly diets, can potentially offset the negative impacts of reduced GW withdrawals, thereby ensuring food security for a larger share of the population.