bluuebunny/crossref_metadata_2025 huggingface dataset:
A Chimera Antigen Receptor Containing TLR4 Signaling Domain Enhances CAR-iMACs Polarization and Potency against Solid Tumors
Authors: Lei Anhua , Hua Yu , Lu Shan , Zhu Mengmeng , Tan Tianyu , Tian Lin , Wang Xudong , Zhang Li , zhao wei , Su Siyu , Zhang Hailing , Lu Hengxing , Zhu Yuqing , Zhao Jing , Jiang Wenhong , Liu Chong , Zhang Jin
Published: January 2022

Chimeric antigen receptor (CAR)-T cell therapies have shown success in treating certain types of hematologic malignancies, but its therapeutic effect on solid tumors is unsatisfactory. Macrophages came to attention because of its phagocytosis function against tumor cells and its immunomodulation capacity. The first generation of engineered CAR-macrophages demonstrated that the CAR can stimulate macrophage phagocytosis function in an antigen dependent way. In this work, we genetically engineered induced pluripotent stem cell (iPSC) derived macrophages (iMACs) with a TLR4 intracellular TIR domain-containing CAR, and achieved enhanced anti-tumor effect. CD3ζ-TIR-CAR, the second generation of TIR-based dual signaling CAR endowed iMACs the target engulfing capacity against antigen-expressing tumor cells, as well as potency of antigen-dependent M1 polarization and resistance to M2 polarization in a NF-κB dependent manner. Taken together, we established the next generation of CAR-iMAC equipped with concurrent antigen-dependent phagocytosis and polarization capacity for better anti-tumor functions.
Investigation of the longitudinal-flexural resonating spindle in ultrasound-assisted grinding of SiCp/Al composites
Authors: Wu Xiao , Qin Huibin , Zhu Xijing , Feng Yi , Zhou Ruifeng , Ye Linzheng
Published: January 2022

Rotary ultrasonic machining is a cost-effective and precise machining method for hard and brittle materials. Aiming at processing SiCp/Al composites, a rotary ultrasonic grinding spindle is proposed in the present study. Expressions were established to calculate the displacement, rotation angle, bending moment, and shear force of the vibrating elements based on the Mindlin moderate plate theory. Combining continuous and boundary conditions of vibrating elements with the proposed expressions, the vibration model and frequency equation of longitudinal-flexural resonating transformer with a large load were established. Then two transformers were designed according to the frequency equation. The resonant characteristics of the transformers were studied using finite element analysis, impedance analysis, and ultrasonic resonance experiments. The obtained results show that the maximum deviation between the resonant frequency and the design frequency of the transformers was 4.95%. Moreover, the maximum deviation of the positions of the pitch circles was 6.51%. It is concluded that the proposed designs have high accuracy. Finally, the orthogonal single-factor experiments of SiCp/Al composites were performed with and without ultrasound. The obtained results show that introducing ultrasonic vibrations significantly reduces the grinding force and the surface roughness while improving the surface quality of the SiCp/Al workpiece. The present study is expected to provide experimental fundamentals to further improve the structure of the grinding spindle, optimize process variables of ultrasound-assisted grinding, and improve the processing efficiency.
Elastic Stiffness of EDCB and Its Influence on Seismic Behavior of Steel Frame Structures
Authors: meng fantao , meng lei , qiu jiangrui , hou peng , ruan xingqun , zhao jianfeng
Published: January 2022

The authors have requested that this preprint be removed from Research Square.
One-shot of the hydrothermal route for synthesis of zeolite LTA using kaolin
Authors: sazali Norsuhailizah , HARUN ZAWATI
Published: January 2022

The zeolite LTA (Z-LTA) was successfully produced from synthesis kaolin and well-crystallized using a hydrothermal method. The kaolin was heated in the furnace for 4 hours at temperatures of 500, 600, 700, and 800 0C, resulting in a metakaolinization process that transformed it into an amorphous state. The Z-LTA mixture was obtained by dissolving metakaolin in a sodium hydroxide (NaOH) solution without adding any other silica or alumina sources. Before going through the hydrothermal synthesis process, the solution mixture was aged for 24 hours. The crystal morphology and degree crystallinity (%) of Z-LTA were evaluated using the various molarity (M) of sodium hydroxide (NaOH) and crystallization time (hr). The degree crystallinity of the Z-LTA increases from 62.83% to 86.8% when the molarity of NaOH is increased from 0.5M to 1M but does not increase when the molarity of NaOH is increased to 1M and 2M (80.77% and 67.78%), respectively. The degree crystallinity (%) Z-LTA based on molarity proceeded with the various crystallization time (hr) factors. 1M NaOH with 9hr give highest degree crystallinity (88.45%) compared to other time, 12hr (86.16 %), 16hr (87.11%), 24hr (86.80%) and 30hr (86.59%) respectively. The structure of crystal morphology with the presence of Na, Al, O, and Si was clearly seen in SEM images of the Z-LTA at a 1M NaOH, 9hr crystallization time (Z-LTA, 1M 9hr). The particle size of (Z-LTA, 1M 9hr) is smaller, which is 0.329 µm compared to kaolin, 0.497 µm. Under low alkali conditions, the hydrothermal process has been shown to be successful in generating high crystallinity from natural kaolin. As a result, by using simple chemical methods, this technology still makes low-cost commercial items from natural materials.
Involvement of The Oncogenic Small Nucleolar RNA SNORA24 In Regulation of P53 Stability In Colorectal Cancer
Authors: Shen Liping , Lin Chuxian , Lu Wenqing , He Junyan , Wang Qi , Huang Yujv , Zheng Xiaofei , Wang Zhidong
Published: January 2022

Colorectal cancer (CRC) is a common malignant cancer worldwide. Although the molecular mechanism of CRC carcinogenesis has been studied extensively, the details remain unclear. Small nucleolar RNAs (snoRNAs) have recently been reported to have essential functions in carcinogenesis, although their roles in CRC pathogenesis are largely unknown. In this study, we found that the H/ACA snoRNA SNORA24 was up-regulated in various cancers, including CRC. SNORA24 expression was significantly associated with age and history of colon polyps in CRC patient cohorts, with high expression associated with a decreased 5-year overall survival. Our results indicated that the oncogenic function of SNORA24 is mediated by promoting G1/S phase transformation, cell proliferation, colony formation and growth of xenograft tumors. Furthermore, SNORA24 knockdown induced massive apoptosis. RNA-sequencing and Gene Ontology (GO) enrichment analyses were performed to explore its downstream targets. Finally, we confirmed that SNORA24 regulates p53 protein stability in a proteasomal degradation pathway. Our study clarifies the oncogenic role of SNORA24 in CRC and advance the current model of the role of the p53 pathway in this process.
Inclusion Of Perineural Invasion With AJCC-TNM Staging: Outcomes From A South East Asian Cohort Of Curatively Treated Gastric Cancer Patients
Authors: Muduly Dillip Kumar , Kar Madhabananda , Sultania Mahesh , Shahin Mohammed , Patra Susama , Singh Viswajeet , Imaduddin Mohammed , Nayak Hemant , Panigraphi Manas Kumar , Mohakud Sudipta
Published: January 2022

Background: The incidence of perineural invasion (PNI) in patients with gastric cancer (GC) is high, and patients with PNI positive disease have a poor prognosis compared to PNI negative disease. The present study aims to study the incidence and evaluate the impact of PNI on the survival outcome of a cohort of Eastern Asian GC patients. Material and Methods: All consecutive patients undergoing curative gastrectomy were included in the study. The incidence of PNI and correlation with different clinicopathological features and overall survival was performed.Results: 59.54% had PNI positive disease and the median OS of PNI+ve patients was 29.3 months, while it was not reached in PNI-ve patients. The PNI positivity was a significant prognostic factor for overall survival both on univariate and multivariate analysis. On TNM-PNI staging, those with TNM stage I / II patients with PNI+ve disease had similar OS to all stage III patients (p=0.835) and was worse than that of PNI-ve patients (p<0.05). Conclusion: The incidence of PNI in gastric cancer is high. The inclusion of PNI with AJCC-TNM staging may better stratify prognostic staging in curatively treated gastric cancer patients.
In-vitro and In-vivo Characterization of Entacapone Loaded Nanostructured Lipid Carriers Developed by Quality-By-Design Approach
Authors: Agrawal Yogeeta O , Patil Kiran D , Mahajan Hitendra S , Potdar Mrugendra B , Joshi Pratiksha , Nakhate Kartik
Published: January 2022

Entacapone, a reversible catechol-o-methyl transferase inhibitor, is used to enhance the action of dopamine agonists by reducing their metabolism and the "Wearing-off" effects associated with long-term use in the treatment of Parkinson's disease. It is used as an adjunct to levodopa/Carbidopa therapy. Due to limited dissolution and first-pass clearance, it suffers from low and variable bioavailability. The present study aims to explore the potential of nanostructured lipid carriers(NLCs) for the delivery of Entacapone. The Quality by Design (QbD) approach was used for the systematic development of NLCs. The 23 full factorial design were investigated using Design-Expert®11 software. The three independent variables viz. content of total lipid (X1), surfactant (X2), and sonication time (X3) were optimized against two responses viz. particle size and entrapment efficiency. The optimized NLCs were characterized for their size, surface morphology, entrapment efficiency, drug release, thermal and crystallographic studies. The prepared Entacapone-loaded NLCs were capable of sustaining the release of the drug within therapeutic concentration for a prolonged time. In-vivo pharmacokinetic studies in Entacapone-loaded NLCs showed an increase in t1/2, AUC0-∞, MRT compared to free drug, which confirms the enhancement of bioavailability while the reduction in elimination (Kel) depicts prolonged action of Entacapone by loading in NLCs. The results displayed Entacapone loaded NLCs have promising potential for oral delivery and may enhance the therapeutic effect and thereby reduce the dosing frequency which is a major issue with the present drug.
Effect of Staining Beverages and Bleaching on Optical Properties of CAD/CAM Nanohybrid and Nanoceramic Restorative Materials
Authors: Elsaka Shaymaa , Taibah Salwa , Elnaghy Amr
Published: January 2022

Background: The purpose of this study was to evaluate the optical properties of nanohybrid Grandio (GR) and nanoceramic Lava Ultimate (LU) CAD/CAM restorative materials subjected to different beverage solutions and subsequent bleached. Methods: Five groups of each restorative material (n = 20/group, A2 shaded-high translucency) were immersed in distilled water, coffee, tea, cola, and ginger for one week. Changes in whiteness index, translucency parameter, and color changes of the specimens were evaluated. The data of color measurements after staining, bleaching, and the residual difference were statistically analyzed using Kruskal-Wallis and Mann-Whitney U tests at the significance level of P < 0.05. Results: LU and GR revealed the highest differences in whiteness index after coffee staining (P < 0.001). GR revealed lower translucency parameter differences after staining with coffee than LU (P = 0.007). There were no significant differences in translucency changes between LU and GR after staining with tea, cola, or ginger (P > 0.05). LU revealed significantly greater color changes than GR after staining (P < 0.001). Conclusions: LU nanoceramic CAD/CAM restorative material revealed higher color changes than GR nanohybrid material. Staining beverage solutions had a distinct influence on the optical properties of tested CAD/CAM restorative materials.
Cost-effectiveness evaluation of powered staplers in video assisted thoracoscopic lung resection procedures
Authors: Han Yi , Zhang Yong , Zhu Hong
Published: January 2022

Background: Video-assisted thoracic surgery (VATS) is currently established as the preferred approach for surgical resection of early-stage lung cancer and has been recommended by multiple clinical associations. This study aimed at evaluating the cost-effectiveness of powered vs manual staplers in video-assisted thoracic surgery (VATS) for lung lobectomy in support of hospital-based health technology assessment.Methods: Clinical and economic comparisons between powered endoscopic staplers (PES) and manual endoscopic staplers (MES) in VATS lobectomies were conducted using a decision tree model from the perspective of hospital administrators. Prolonged air leak (PAL) was selected as the surgery complication for the model. Clinical performances measured by PAL rates for the staplers were obtained from a targeted literature review. The economic parameters used in the model were based on results from real-world data analysis in China. The outcomes used in the cost-effectiveness analysis were total costs and post-discharge 6-month reoperation rates. Cost-effectiveness was measured by the incremental cost per reduction of reoperation. Model stability was evaluated using both one-way sensitivity analysis and probabilistic sensitivity analysis (PSA). Results: Deterministic calculation results showed powered staplers dominated manual stapler, with lower per-episode costs (CNY 83,487 for PES vs CNY 86,239 for MES) and lower reoperation rates (0.54% for PES vs 0.63% for MES). One-way sensitivity analysis and PSA results further supported that the powered stapler was the dominant strategy for VATS lobectomies. Conclusions:The cost-effectiveness analysis demonstrated powered staplers are cost-effective compared to manual staplers in VATS lobectomies.
3D Many-objective DV-hop Localization Model With NSGA3
Authors: Wang Penghong , Li Hangjuan , Cai Xingjuan
Published: January 2022

Wireless sensor location is a challenging task issue in the Internet of Things (IoT). Distance vector-hop (DV-hop) algorithm provides a range-free positioning scheme, but its position prediction method based on least square method brings a large positioning error. To overcome this issue, this paper constructs a three-dimensional (3D) many-objective positioning model. Specifically, we consider many factors, such as the error characteristics of the estimated distance, the distribution characteristics of nodes and the computational cost. Based on these factors, we propose a many-objective 3D-DV-hop positioning model, and propose a data preprocessing strategy and outlier removal strategy. Finally, a fashionable many-objective optimization algorithm is employed to solve the model. The experimental results show that the model proposed in this paper has great advantages in accuracy and robustness, and is superior to the current single and multi-objective positioning model.
Aggregation of magnetic nanoparticles functionalized with trans-resveratrol in aqueous solution
Authors: Nguyen Thi-Nga , Tran Quang-Hung , Charnay Clarence , Dumail Xavier , Reibel Corinne , Cazals Guillaume , Valette Gilles , Jay-Allemand Christian , Terki Ferial , Bidel Luc P. R.
Published: January 2022

In the framework of a protein-ligand-fishing strategy to identify proteins that bind to trans-resveratrol, a natural phenolic compound with pharmacological benefits, we have developed magnetic nanoparticles covalently linked to trans-resveratrol through three different derivatives and examined their aggregation behavior in aqueous solution. The monodispersed magnetic core (18 nm) with its mesoporous silica shell (93 nm) exhibited a notable superparamagnetic behavior useful for magnetic bioseparation. The hydrodynamic diameter, deduced from dynamic light scattering analysis, of the nanoparticle increased from 100 to 800 nm when the aqueous buffer changed from pH 10.0 to 3.0. A size polydispersion occurred from pH 7.0 to 3.0. In parallel, the value of the extinction cross-section increased according to a negative power law of the UV wavelength. This was mainly due to light scattering by mesoporous silica, whereas the absorbance cross-section remained very low in the 230-400 nm domain. The three types of resveratrol-grafted magnetic nanoparticles exhibited similar scattering properties, but their absorbance spectrum was consistent with the presence of trans-resveratrol. Their functionalization increased their negative zeta potential when pH increased from 3.0 to 10.0. The mesoporous nanoparticles were monodispersed in alkaline conditions, where their anionic surface strongly repulsed each other but aggregated progressively under van der Waals forces and hydrogen bonding when negative zeta potential decreased. The characterized results of nanoparticle behavior in aqueous solution provide critical insigh for further study of nanoparticles with proteins in biological environment.
Antibody response to SARS-CoV-2 mRNA vaccines in patients with rheumatic diseases in Japan: Interim analysis of a multicenter cohort study
Authors: Kashiwado Yusuke , Kimoto Yasutaka , Sawabe Takuya , Irino Kensuke , Nakano Shota , Hiura Junki , Wang Qiaolei , Kawano Shotaro , Ayano Masahiro , Mitoma Hiroki , Ono Nobuyuki , Arinobu Yojiro , Niiro Hiroaki , Hotta Taeko , Kang Dongchon , Akashi Koichi , Ohshima Shiro , Takeuchi Tsutomu , Horiuchi Takahiko
Published: January 2022

Background: To evaluate the impact of medication on antibody response to SARS-CoV-2 mRNA vaccines in Japanese patients with rheumatic diseases.Methods: This prospective multicenter cohort study evaluated the humoral response in 12 different medication groups. Antibody levels before the first vaccination and 3-6 weeks after the second vaccination were measured using the Elecsys Anti-SARS-CoV-2 S assay. Statistical analysis included comparing antibody titers among the different medication groups using the Kruskal–Wallis test followed by the Bonferroni–Dunn test for multiple comparisons and multiple linear regression analysis.Results: Three hundred and seventy-two patients receiving treatment for rheumatic diseases were enrolled, and 295 patients were analyzed. The seroconversion rate was 92.2% and the median antibody titer was 255 U/ml (interquartile range; IQR, 34.1-685) after the second mRNA vaccination. Antibody levels were significantly lower in the groups treated with TNF inhibitor (TNFi) with methotrexate (MTX) (median, 104 U/ml; IQR, 33.2-260), abatacept (median, 48.2 U/ml; IQR, 17.9-182), mycophenolate mofetil (MMF) (median, 3.24 U/ml; IQR, 0-34), MMF or mizoribine (MMF/MZR) combined with calcineurin inhibitor (CNI) (median, 5.5 U/ml; IQR, 0-21), and rituximab or cyclophosphamide (RTX/CPA) (median, 19.5 U/ml; IQR, 0-142) compared with those treated with sulfasalazine and/or bucillamine (median, 831 U/ml; IQR, 451-1451.5) or CNI (median, 833 U/ml; IQR, 164-1882) (p<0.01). Conclusions: Additional early vaccination is required in patients treated with TNFi and MTX, ABT, MMF, MMF or MZR combined with CNI and CPA/RTX. However, patients treated with CNI and sulfasalazine and/or bucillamine may be safer among patients with rheumatic diseases.
A simple method of searching for a fixed solution in a coordinate domain
Authors: Cellmer Sławomir
Published: January 2022

Recently, more and more Global Navigation Satellite Systems satellites are available for observation. Apart from obvious advantages, this brings new challenges in developing efficient computational methods of processing signals obtained from more satellites than to date. From the viewpoint of computation process efficiency, the most critical step is ambiguity resolution. Because of the discrete character of ambiguities, the search procedure is employed to perform this task. The search space dimension significantly impacts a search procedure computational load. The time needed for obtaining a solution raises considerably when the search space dimension is greater. Therefore, the improved version of the well-known concept of searching for a fixed solution in a three-dimensional coordinate domain was proposed and tested. The math model of the proposed approach is presented together with the algorithm of the search procedure. The numerical experiments were designed for simulated and real data. The simulated data has been prepared based on the concept proposed by the authors. This data simulation method is described in detail. The test results confirmed the reduction of the time needed to obtain the results when the proposed method is applied. This advantage over traditional methods unveils in the case of many satellites. Moreover, the real-data test pointed out that using the new approach is beneficial in reducing the computation time also in the case of a few satellites if long sessions are processed.
Development and performance of a HemeLB GPU code for human-scale blood flow simulation
Authors: Zacharoudiou I. , McCullough J.W.S. , Coveney P.V.
Published: January 2022

In recent years, it has become increasingly common for high performance computers (HPC) to possess some level of heterogeneous architecture - typically in the form of GPU accelerators. In some machines these are isolated within a dedicated partition, whilst in others they are integral to all compute nodes - often with multiple GPUs per node - and provide the majority of a machine's compute performance. In light of this trend, it is becoming essential that codes deployed on HPC are updated to execute on accelerator hardware. In this paper we introduce a GPU implementation of the 3D blood flow simulation code HemeLB that has been developed using CUDA C++. We demonstrate how taking advantage of NVIDIA GPU hardware can achieve significant performance improvements compared to the equivalent CPU only code on which it has been built whilst retaining the excellent strong scaling characteristics that have been repeatedly demonstrated by the CPU version. With HPC positioned on the brink of the exascale era, we use HemeLB as a motivation to provide a discussion on some of the challenges that many users will face when deploying their own applications on upcoming exascale machines.
M6A-Mediated Upregulation of CircMDK Promotes Tumorigenesis and Acts as a Nanotherapeutic Target in Hepatocellular Carcinoma
Authors: Du Ashuai , Li Shiqin , Zhou Yuzheng , Disoma Cyrollah , Liao Yujie , Zhang Yongxing , Chen Zongpeng , Yang Qinglong , Liu Pinjia , Liu Sixu , Dong Zijun , Razzaq Aroona , Tao Siyi , Chen Xuan , Liu Yuxin , Xu Lunan , Zhang Qianjun , Li Shanni , Peng Jian , Xia Zanxian
Published: January 2022

The authors have requested that this preprint be removed from Research Square.
Heuristic Methods for Minimizing Cut Bars and Using Leftovers from the One-dimensional Cutting Process
Authors: Bressan Glaucia Maria , Pimenta-Zanon Matheus , Sakuray Fabio
Published: January 2022

The cutting problems consist in cutting a set of objects available in stock in order to produce the desired items in specified quantities and sizes. The one-dimensional cutting stock problem involves only one of the relevant dimensions in the cutting process, as in cutting bars, rolls and tubes. The cutting process can generate leftover (which can be reused in a new demand) or losses (which are discarded). This paper presents two heuristic methods for minimizing the number of cut bars in the one-dimensional cutting process, satisfying the items demand in an unlimited bars quantity of just one type. The results of simulations are compared with methods from literature and with the limiting values for this considered type of problem. The results show that proposed heuristics reduce processing time and the number of bars needed in cutting process, while it provides a greater leftover (by grouping losses) for the one-dimensional cutting stock problem. The heuristics contribute to reduction of raw materials or manufacturing costs in industrial processes, such as the automotive industry, construction, bicycle manufacturing and other purposes.
The antimicrobial quantitative relationship and mechanism of plant flavonoids to gram-positive bacteria
Authors: Yuan Ganjun , Xia Xuexue , Guan Yingying , Yi Houqin , Lai Shan , Sun Yifei , Cao Seng
Published: January 2022

Antimicrobial resistance (AMR) poses a serious threat to human health, and new antimicrobial agents are desperate in need. Plant flavonoids have been increasingly paid attention to, for their antibacterial activities, combinational effects on enhancing the antibacterial activity, and reversing the AMR. Based on our previous work, another two regression equations were established once again between the minimum inhibitory concentrations (MICs) (y) and the lipophilicity parameters ACD/LogP or LogD (x). After comparing the fitting goodness of four equations including two published by us, the best one, regarded as the antimicrobial quantitative relationship of plant flavonoids to gram-positive bacteria, was y = -0.1285x6 + 0.7944x5 + 51.785x4 - 947.64x3 + 6638.7x2 - 21273x + 26087, and here x is the LogP value. From this equation, the MICs of most plant flavonoids to gram-positive bacteria can be calculated. The minimum MIC was also predicted as approximately 0.9644 μM, and likely from 0.24 to 0.96 μM. Further, this more reliable equation further proved that the lipophilicity is a key factor of plant flavonoids against gram-positive bacteria. Combined with the antibacterial mechanism suggested in our previous work and the support from recent literature, more intuitive evidence powerfully confirmed the antibacterial mechanism that the cell membrane is the major site of plant flavonoids acting on gram-positive bacteria, and that involving the damage of phospholipid bilayers.
Avaliação dos impactos das precipitações pluviométricas na manutenção da rede de esgotamento sanitário no Município de Caruaru, Agreste de Pernambuco
Authors: Arruda Neto José Floro de , Medeiros Iálysson da Silva , Aguiar Gustavo José de Araújo , Duarte Armando Dias , Silva Gilson Lima da
Published: January 2022

Compreender o saneamento ambiental é de suma importância para a elaboração de ações públicas, que visam à melhoria das questões insalubres das comunidades.O manejo das águas pluviais em conjunto com as águas servidas, apresenta-se como um desafio na gestão dos municípios brasileiros, através das vazões domésticas, industriais e parasitárias. O presente estudo tem como objetivo compreender a influência e os impactos das vazões parasitárias à rede de esgoto de um município de médio porte, avaliadas as preciptações em um período de cinquenta anos. Para o desenvolvimento da pesquisa,foram utilizadosdados hidrológicos e de manutenção da rede, no qual foram obtidos coeficientes de correlação entre as variáveis do estudo. Foi observado aumento dos serviços de manutenção durante o período chuvoso, através da contribuição de ligações irregulares entre outros fatores físicos.
Comparação de métodos quantitativos etnobotânicos no estudo de plantas medicinais no semiárido da Paraíba, Nordeste do Brasil
Authors: Nunes Guilherme Muniz , Ferreira Ezequiel da Costa , Souza André dos Santos , Santos Suellen da Silva , Lucena Camilla Marques de , Lucena Reinaldo Farias Paiva de
Published: January 2022

O uso de plantas no tratamento de enfermidades é historicamente antigo entre as populações humanas. A etnobotânica, como campo de conhecimento tem buscado compreender entre outros temas, a dinâmica do uso de plantas medicinais nas mais diversas populações humanas, para isso, diversas hipóteses e métodos quantitativos próprios têm sido desenvolvidos para analisar o conhecimento tradicional. O objetivo do presente estudo foi de avaliar e comparar o conhecimento sobre plantas medicinais por meio dos índices de importância relativa, valor de uso e frequência relativa de citação. Foram feitas entrevistas semiestruturadas em comunidades rurais de oito municípios de diferentes regiões incluídas no semiárido paraibano. Por meio das entrevistas foram identificadas 52 espécies de uso medicinal, com destaque para as famílias Fabaceae e Euphorbiaceae no número de espécies utilizadas. Foi observada uma correspondência entre as principais espécies amostradas nas listagens dos métodos aplicados, com destaque, principalmente para Myracroduon urundeuva e Sideroxylum obtusifolium. Os resultados obtidos sugerem uma necessidade de estabelecer estratégias de uso sustentável de modo a evitar pressões de uso sobre as espécies mais conhecidas e utilizadas.
A Hipótese da Aparência Ecológica pode explicar a importância local de recursos vegetais na região do Parque Nacional de Sete Cidades, Piauí, Brasil?
Authors: Brasileiro Derly Pereira , Ferreira Ezequiel da Costa , Santos Suellen da Silva , Carvalho Thamires Kelly Nunes , Ribeiro João Everthon da Silva , Barros Roseli Farias Melo de , Lucena Camilla Marques de , Lucena Reinaldo Farias Paiva de
Published: January 2022

A hipótese da aparência ecológica busca entender a dinâmica de uso que uma determinada espécie possui por meio de sua disponibilidade em áreas de vegetação. De acordo com essa hipótese, as plantas aparentes são as mais coletadas e utilizadas pelas pessoas e foi testada na comunidade rural de Cachoeira, município de Brasileira, no Estado do Piauí, Nordeste do Brasil. Calculou-se o valor de uso (VU) para cada espécie. Para o inventário fitossociológico, adotou-se o método ponto-quadrante, traçando-se 50 transectos distribuídos nas áreas de vegetação da comunidade, registrando as medidas de perímetro e altura de 2.200 plantas. Realizaram-se entrevistas com os moradores, totalizando 27 informantes (13 homens e 14 mulheres), e registraram-se 34 espécies, 32 gêneros e 20 famílias. As espécies citadas foram agrupadas em categorias de uso. O coeficiente de correlação de Spearman foi utilizado para correlacionar os dados fitossociológicos e etnobotânicos. Os valores de uso das espécies e as categorias de uso não se correlacionaram com os parâmetros fitossociológicos. Os resultados da presente pesquisa sugerem que a seleção e utilização de recursos vegetais na região do entorno do Parque Nacional (PARNA) Sete Cidades pode estar relacionada a outros fatores, sendo diferente do encontrado em outros estudos, que relacionam o uso a disponibilidade do recurso. Talvez o fato da comunidade encontrasse no entorno de uma área de preservação ambiental, esteja determinando essa relação, podendo fazer com que essas populações busquem seus recursos em áreas mais distante dessa unidade de conservação.
ANALISIS HARGA SAHAM SEKTOR ANEKA INDUSTRI YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Nadhifah Nadhifah , Ediwarman Ediwarman , Pangestu Dewi Cahyani
Published: January 2022

ABSTRAK  Penelitian ini bertujuan untuk menilai pengaruh Profitabilitas, Likuiditas dan Leverage terhadap Harga Saham. Populasinya seluruh perusahaan sektor aneka industri yang terdaftar di Bursa Efek Indonesia. Dengan menggunakan metode purposive sampling didapat 22 perusahaan sektor aneka industri dengan periode empat tahun penelitian sehingga memperoleh 88 data. Teknik analisis data yang digunakan adalah Analisis Regresi Data Panel dengan bantuan Eviews 11 menggunakan signifikansi 5%. Penelitian ini menunjukkan hasil bahwa Profitabilitas yang diukur dengan Return on Equity (ROE) berpengaruh positif terhadap Harga Saham, Likuiditas yang diukur dengan Current Ratio (CR) tidak berpengaruh terhadap Harga saham dan Leverage yang diukur dengan Debt to Equity Ratio (DER) berpengaruh positif terhadap Harga Saham. Kata Kunci : harga saham; profitabilitas; likuiditas; leverage  ABSTRACT This study aimed to assess the effect of Probability, Liquidity and Leverage on Stock Price. The population is all Miscellaneous Industry Sector Companies Listed in Indonesia Stock Exchange. By using Purposive Sampling method, obtained 22 companies in the Miscellaneous Industry Sector with a research period of four years to obtain 88 data. Data analysis technique by using Panel Data Regression Analysis with Eviews 11 and significant 5%. This study shows the results that profitability as measured by Return on Equity (ROE) has a positive effect on Stock Price, Liquidity as measured by Current Ratio (CR) has no effect on Stock Price and Leverage as measured by Debt to Equity Ratio (DER) has a positive effect on Stock Price. Keywords : stock price; profitability; liquidity; leverage
The one-dimensional Bose gas with strong two-body losses: the effect of the harmonic confinement
Authors: Rosso Lorenzo , Biella Alberto , Mazza Leonardo
Published: January 2022

We study the dynamics of a one-dimensional Bose gas in presence of strong two-body losses.
In this dissipative quantum Zeno regime, the gas fermionises and its dynamics can be described with a simple set of rate equations.
Employing the local density approximation and a Boltzmann-like dynamical equation, the description is extended to take into account an external potential.
We show that in the absence of confinement the population is depleted in an anomalous way and that the gas behaves as a low-temperature classical gas.
The harmonic confinement accelerates the depopulation of the gas and introduces a novel decay regime, which we thoroughly characterise.
On the dynamics of free-fermionic tau-functions at finite temperature
Authors: Chernowitz Daniel , Gamayun Oleksandr
Published: January 2022

In this work we explore an instance of the
\tauτ-function
of vertex type operators, specified in terms of a constant phase shift
in a free-fermionic basis. From the physical point of view this
\tauτ-function
has multiple interpretations: as a correlator of Jordan-Wigner strings,
a Loschmidt Echo in the Aharonov-Bohm effect, or the generating function
of the local densities in the Tonks-Girardeau gas. We present the
\tauτ-function
as a form-factors series and tackle it from four vantage points: (i) we
perform an exact summation and express it in terms of a Fredholm
determinant in the thermodynamic limit, (ii) we use bosonization
techniques to perform partial summations of soft modes around the Fermi
surface to acquire the scaling at zero temperature, (iii) we derive
large space and time asymptotic behavior for the thermal Fredholm
determinant by relating it to effective form-factors with an
asymptotically similar kernel, and (iv) we identify and sum the
important basis elements directly through a tailor-made numerical
algorithm for finite-entropy states in a free-fermionic Hilbert space.
All methods confirm each other. We find that, in addition to the
exponential decay in the finite-temperature case the dynamic correlation
functions exhibit an extra power law in time, universal over any
distribution and time scale.
Dark matter effective theory
Authors: Brod Joachim
Published: January 2022

Les Houches 2021 lectures on dark matter effective field theory
(short course). The aim of these two lectures is to calculate the
DM-nucleus cross section for a simple example, and then generalize
to the treatment of general effective interactions of spin-1/2
DM. Relativistic local operators, the heavy-DM effective theory, the
chiral effective Lagrangian, and nuclear effective operators are
briefly discussed.
Impact of Cultural Diversity on Overall Organizational Performance: A Moderating Role Education
Authors: Laar David Diam
Published: January 2022

This study focused on the impact of cultural diversity on organizational performance as moderated by employees’ educational attainment. The study measured cultural diversity as language, religious and value system diversity. Organizational performance was measured as team building, communication, and employee productivity. The study collected primary data from 353 employees from ten different manufacturing companies in the Ashanti and Greater Accra Regions of Ghana. The study employed mean and standard deviation for descriptive analysis. The study employed a structural equation model for the estimation. Cultural diversity was found to be prevalence in the sampled companies. However, team building, and communication were effective, and employee productivity was high. The educational attainment of employees significantly reduced the negative impact of language, religious, and value system diversity on each organizational performance indicator. Stakeholders in Ghana’s manufacturing industry should encourage continued human resource development through the pursuance of higher education, internal and external training, and seminars.
Basic Academic Research Structure and Format Guiding Principles for Students
Authors: Hakim Aquila
Published: January 2022

The main purpose of the guideline is to develop a basic academic research structure and format guiding principles for students with two specific objectives; to develop a coherent research structure and academic research format for the public universities in South Sudan. One hundred and seventeen dissertations were reviewed, and a total of 88 teaching staff were interviewed, giving 91% response rate. The dissertations were selected randomly, and teaching staff were selected purposively by virtue of their positions and availability. The validity and reliability of the instruments was ensured through pretesting, CVI, and triangulations. SPSS v22 was used to analyze data, both descriptive and thematic analysis were used. Permissions were sought from university administrations and one of the respondents before data collection. There is some significant variation on academic structure and format across the five universities in the republic of South Sudan. The research structural variations and inconsistencies were found in their contents and order of titles and subtitles of dissertations reviewed. In conclusion, this basic academic research guide is developed to set some standards and directions for students and their supervisors to complete the dissertation on time with less stress as it provides where to begin and the end. It will also enhance the objective grading of dissertations and evaluation levels of the university. The guideline will contribute to the development of consensus on academic research structure and format standards for students that will encourage young researchers to have an interest in research as a career.
Fault identification and remaining useful life prediction of bearings using Poincare maps, fast Fourier transform and convolutional neural networks
Authors: Majali Aditya , Mulay Advait , Iyengar Venugopalan , Nayak Aniruddha , Singru Pravin
Published: January 2022

Bearings are integral components of rotating machinery and their failure tends to be a catastrophic failure of the machine. Poincare Maps are used to detect bearing failures using the concept of non-linear dynamics. Each time-domain vibration signature array has its own Poincare Map over a period of time. Fast Fourier Transform (FFT) is a method of analysing the frequency plots of a bearing signature. Convolutional Neural Networks (CNN) process the bearing Continuous Wavelet Transform images and provide the Remaining Useful Life (RUL) of the bearing. The Poincare Maps and FFT plots are used to diagnose the type and location of the fault in the bearing, whereas the CNN helps to provide the fraction of Remaining Useful Life. The study concludes that a combination of Poincare Maps, FFT analysis and Convolutional Neural Networks constitutes a robust and precise method of monitoring bearing conditions.
Enzyme complexes for activating yeast generation and ethanol fermentation
Authors: Rimareva Liubov , Serba Elena , Overchenko Marina , Shelekhova Nataliya , Ignatova Nadezhda , Pavlova Anzhelika
Published: January 2022

Introduction. Recent studies have shown the benefits of phytolytic enzymes to prepare grain wort in ethanol production. However, there is a lack of data on the effect of phytases and their amount on the conversion of grain polymers, the ionic composition of wort and mash, and the efficiency of yeast generation and ethanol fermentation.

Study objects and methods. Wheat and corn wort samples were treated with a complex of hydrolases, including phytases. Capillary electrophoresis determined the ionic composition of wort and mash. Gas chromatography measured the content of volatile metabolites.

Results and discussion. The key enzymes were phytases and proteases. They improved the conversion of grain polymers and stimulated the growth and metabolism of yeast cells. Their synergism enriched the wort with assimilable nitrogen, phosphorus, and other valuable minerals. In addition, it intensified the growth of the Saccharomyces cerevisiae yeast, increased the rate of carbohydrate consumption, and reduced the formation of side metabolites 1.7–1.9 times, mainly due to higher and aromatic alcohols. The concentration of phosphates remained practically unchanged during the fermentation of grain wort treated with phytases. However, by the end of fermentation, it was 2.4–5.1 times higher than in the mash samples without phytolytic treatment. Finally, we identified a complex of enzymes and optimal amounts of phytases that have a stimulating effect on ethanol fermentation.

Conclusion. Phytases, whether used individually or together with proteases, enriched grain wort with soluble macro- and microelements, improved yeast metabolism, directed ethanol synthesis, and decreased the formation of fermentation by-products.
Learner's Perceived Benefits in Employing Proofreader as a Vehicle for Developing his English Writing Competency
Authors:   Universitas Islam Zainul Hasan Genggong, Kholili Achmad , Fauzi Ahmad
Published: January 2022

Anchored by narrative lens, the current study attempts to delve into EFL learner's exposure to utilizing Proofreader as a tool for improving English writing competency. One Indonesian EFL learner from a private University shared his experiences of the power of using Proofreader for accomplishing his tasks and for improving his writing proficiency. Written reflection and semi-structured interview were held by the researchers with the research participant. The results indicated that the EFL learner felt way more improved in their writing after using the application for learning English writing. He perceived that Proofreader application has helped him elevate their writing proficiency in terms of enriching vocabulary for writing, translating English tasks, including correcting errors in sentences, finding out contextual synonym, as well as improving readability and style
PERIPROCEDURAL MYOCARDIAL INFARCTION: A REVIEW ARTICLE
Authors: Karmelia Pratiwi Irma , Hazzy Alfatta Fandy , Aryanugraha Teguh , Bayu Aji Muhamad , Annisa Kamila Putri , Pancasari Ratna , Asri Devi Ayu , Ari Nugraha Krishna , Saifur Rohman Mohammad
Published: January 2022

Percutaneous coronary intervention can be associated with several complications such as periprocedural myocardial infarction (PPMI) that was deﬁned as an elevation of CK-MB >3 times the upper limit of the normal range in at least two blood samples with a normal range of baseline value, prolonged ischemia as demonstrated by persistent chest pain (>20 min), or new pathological Q waves seen on the electrocardiogram. By epidemiology, periprocedural myocardial infarction was happen in about 6 – 7% patient underwent PCI and associated with adverse outcome. Therefore it is important to identify the possible factors to detect, prevent and manage this event.
Correlation of Factors Causing the Death of COVID-19 Patients and Enforcement of Regulations in Handling COVID-19 in the City of Bogor
Authors: Indrianingrum Yulia , Wiranta Alma
Published: January 2022

The outbreak of the COVID-19 virus has attacked all countries in the world and become a serious concern, also in Indonesia. Indonesia is trying to fight the spread of the COVID-19 disease with various forms of regulations issued, including the Government, Central Government, and District/City Governments. This policy was carried out to anticipate and prevent the spread of the COVID-19 virus outbreak. The study aims to look at the policies that the Bogor City Government has implemented and empirically test the data on COVID-19 patients to determine the factors that can influence the death of COVID-19 patients. The results showed that almost all COVID-19 patients adhere to the health protocol set by the Bogor City Government, but COVID-19 patients who are elderly, male, and have comorbid disease have a high risk of dying.
Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation
Authors: Kwon Osung , Na Wonjun , Kang Heejun , Jun Tae Joon , Kweon Jihoon , Park Gyung-Min , Cho YongHyun , Hur Cinyoung , Chae Jungwoo , Kang Do-Yoon , Lee Pil Hyung , Ahn Jung-Min , Park Duk-Woo , Kang Soo-Jin , Lee Seung-Whan , Lee Cheol Whan , Park Seong-Wook , Park Seung-Jung , Yang Dong Hyun , Kim Young-Hak
Published: January 2022

Background

Although there is a growing interest in prediction models based on electronic medical records (EMRs) to identify patients at risk of adverse cardiac events following invasive coronary treatment, robust models fully utilizing EMR data are limited.

Objective

We aimed to develop and validate machine learning (ML) models by using diverse fields of EMR to predict the risk of 30-day adverse cardiac events after percutaneous intervention or bypass surgery.

Methods

EMR data of 5,184,565 records of 16,793 patients at a quaternary hospital between 2006 and 2016 were categorized into static basic (eg, demographics), dynamic time-series (eg, laboratory values), and cardiac-specific data (eg, coronary angiography). The data were randomly split into training, tuning, and testing sets in a ratio of 3:1:1. Each model was evaluated with 5-fold cross-validation and with an external EMR-based cohort at a tertiary hospital. Logistic regression (LR), random forest (RF), gradient boosting machine (GBM), and feedforward neural network (FNN) algorithms were applied. The primary outcome was 30-day mortality following invasive treatment.

Results

GBM showed the best performance with area under the receiver operating characteristic curve (AUROC) of 0.99; RF had a similar AUROC of 0.98. AUROCs of FNN and LR were 0.96 and 0.93, respectively. GBM had the highest area under the precision-recall curve (AUPRC) of 0.80, and the AUPRCs of RF, LR, and FNN were 0.73, 0.68, and 0.63, respectively. All models showed low Brier scores of <0.1 as well as highly fitted calibration plots, indicating a good fit of the ML-based models. On external validation, the GBM model demonstrated maximal performance with an AUROC of 0.90, while FNN had an AUROC of 0.85. The AUROCs of LR and RF were slightly lower at 0.80 and 0.79, respectively. The AUPRCs of GBM, LR, and FNN were similar at 0.47, 0.43, and 0.41, respectively, while that of RF was lower at 0.33. Among the categories in the GBM model, time-series dynamic data demonstrated a high AUROC of >0.95, contributing majorly to the excellent results.

Conclusions

Exploiting the diverse fields of the EMR data set, the ML-based 30-day adverse cardiac event prediction models demonstrated outstanding results, and the applied framework could be generalized for various health care prediction models.