bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal Control of Discrete Time-varying System with Multiple Delays and Multiplicative Noises
Authors: Zhang Qiyan , Sheng Chunyang , Lu Xiao , Wang Haixia
Published: May 2023

This paper is concerned with the optimal linear quadratic Gaussian (LQG) control problem for discrete time-varying system with multiple input delays and multiplicative noises. The main contributions are two-fold. Firstly, when the state variables can be observed exactly, we obtain a necessary and suffcient condition for the multiple-delays system in terms of the non-homogeneous relationship between the state and costate, which is the solution to the coupled forward and backward stochastic difference equations. Secondly, when the state variables are partially observed, we derive a suboptimal linear output feedback controller for the discrete-time system based on the obtained results of the optimal LQG control. Numerical examples are shown to illustrate the proposed algorithm.
The Simulation Study on Indoor Heat and Moisture Transfer Characteristics of an Ancient Palace Building in Beijing
Authors: Liu Fang , Zhang Xiaofen , Jiarui Zeng , Yafei Li , Wang Gang
Published: May 2023

The heritage of ancient buildings is an important part of the world's history and culture, which has an extremely rich historical-cultural value and artistic research value. Beijing has a large number of palace ancient buildings, and because of the age of their construction, many of them have problems of varying degrees of peeling and mold on the inner surfaces of the envelope. To solve the problems of the damp and moldy interior of palace buildings, a mathematical model of indoor heat and moisture transfer was established based on a wooden palace ancient building in Beijing. Through the indoor mold distribution validation model, the effects of outdoor humidity, soil moisture, wall humidity, and other factors on the indoor heat and moisture transfer of ancient buildings were simulated and analyzed by using the control variables method. The results showed that the molds were distributed at the indoor corners and floors, and the simulation of indoor humidity match the measured humidity. Thus, the simulation results were consistent with the actual situation. The variable trend of the relative humidity of the indoor environment with the outdoor humidity is inconsistent from plane to plane, i.e. it increases or remains constant with the increase of the outdoor humidity. The indoor ambient relative humidity increased with increasing the wall humidity. And the indoor average temperature is 23.3 ℃ and indoor relative humidity ranged between 90.9 % to 92.44 %. Soil moisture and wall humidity were the main factors affecting the indoor environmental relative humidity.
Microstructure Evolution and Fracture Mechanism of 55NiCrMoV7 Hot- Working Die Steel during High Temperature Tensile
Authors: Yuan Yasha , Wang Wenyan , Shi Ruxing , Zhang Yudong , Xie Jingpei
Published: May 2023

In this paper, through high-temperature tensile tests of 55NiCrMoV7 steel, the high-temperature fracture behavior, microstructure evolution and carbide distribution characteristics of both thermal-mechanical coupling zone (fracture zone) and thermal stress zone (clamping zone) at different temperatures were studied. Intrinsic relationship between high temperature fracture and carbides types, distribution and size were revealed and evolution mechanism of microstructure near cracks in 55NiCrMoV7 hot-working die steel during high temperature deformation was clarified. Samples were stretched at different temperatures from 25 °C to 700 °C, and microscopic examinations were carried out by using SEM and TEM. The results showed that: With the increase of temperature, tensile strength and yield strength decreased, elongation and reduction of area increased, and fracture mode changed from brittle fracture to ductile fracture by transition temperature at about 400℃. During high temperature deformation, the grain dislocation density decreased, the tempered martensite decomposed, recovered, recrystallized, and then grain grew. M7C3 and M23C6 carbides precipitated and grew along the grain boundary, and a small amount of fine granular MC carbides were dispersed in the grain. The work done by the external force on the deformation zone would cause the temperature of it to be higher than tensile temperature, which provides thermodynamic conditions for the re-dissolution of small carbides near the fracture zone and the grain growth of large carbides, resulting in the decrease of small carbides and increase of large carbides in thermal-mechanical coupling zone.
Study on the Movement Characteristics of Fuel in the Fuel Tank during Maneuvering Process
Authors: Wang Yameng , Ruan Chenran , Lu Song , Li Zhenghong
Published: May 2023

In order to study the movement characteristics of fuel in the fuel tank during aircraft maneuvering, this paper conducts numerical simulations of a typical wing fuel tank using the finite point set method based on certain boundary conditions and excitation. The results show that the finite point set method can capture the complex phenomena of fuel free surface fluctuations, surging, rolling and breaking, as well as the change in center of gravity caused by fuel movement. Under aircraft acceleration and pitch angle excitation, fuel will generate sustained impact pressure on the fuel tank wall. The velocity attenuation of fuel flowing through the baffle communication hole is fast, and the flow resistance and energy dissipation of the communication hole buffer the impact of fuel on the fuel tank wall.
On Nearly Sasakian and Nearly Kähler Statistical Manifolds
Authors: Uddin Siraj , Peyghan Esmaeil , Nourmohammadifar Leila , Bossly Rawan
Published: May 2023

In this paper, we introduce the notions of nearly Sasakian and nearly Kähler statistical structures with a non-trivial example. The conditions for a real hypersurface in a nearly Kähler statistical manifold to admit a nearly Sasakian statistical structure are given. We also study Invariant and anti-invariant statistical submanifolds of nearly Sasakian statistical manifolds. At the end, some conditions under which such a submanifold of a nearly Sasakian statistical manifold is itself a nearly Sasakian statistical manifold are given.
Digestible protein levels and metabolic responses in juvenile piapara (Megaleporinus obtusidens)
Authors: Almeida Viviane do Nascimento Santana de , Carli Gabriela Castellani , Sátiro Thaise Mota , Nascimento Thiago Matias Torres do , Takahashi Leonardo Susumu
Published: May 2023

The piapara (Megaleporinus obtusidens) is an omnivorous fish with great market potential. However, little is known about its dietary requirements. This study aimed to determine the effects of dietary protein on growth and physiological indicators in piapara. Three hundred piapara juveniles (24.0 ± 1.3 g) were distributed in 20 tanks of 130-L (15 fish/tank) provided with continuous aeration and water. Five isoenergetic diets (14.0 MJ/kg) were formulated to contain increasing levels of digestible protein (21, 24, 27, 30, and 33% DP). After 77 days, weight gain and ammonia concentration in water were found to increase linearly with increasing digestible protein (DP) level (p<0.05). Protein productive value (PPV) reached a maximum at 28.4% DP. No relationship was found between DP level and serum ammonia, liver alanine aminotransferase (ALT) activity, hepatosomatic index (HSI), liver glycogen (GL) or liver lipid (LL) content (p>0.05). Mesenteric fat index (MFI) and liver malic enzyme (ME) activity followed a quadratic pattern (p<0.05) and reached a maximum at 25.8% and 27.1% DP, respectively. Muscle lipid (ML) content decreased linearly with increasing DP level (p<0.05), whereas liver glucose-6-phosphate dehydrogenase (G6PD) activity decreased linearly as DP level increased (p<0.05). Results showed that a diet containing 28.4% PD provides better crude protein retention efficiency and reduces amino acid deamination in M. obtusidens. Low protein diets increased energy retention efficiency, whereas fish fed high protein diets had higher ammonia excretion.
Non-Destructive Classification of Paddy Rice Leaf Disease Infected by Bacterial and Fungal Species Using Vision-Based Deep Learning
Authors: Bracino Amir A. , Evangelista Danielle Grace D. , Concepcion II Ronnie S. , Dadios Elmer P. , Vicerra Ryan Rhay P.
Published: May 2023

Rice is a plant with rounded hollow articulated culms, flat, well-attached leaf blades, and terminal spikes. Its cultivation and consumption shape the culture, diet, and economy of different groups, especially in Asia. However, farmers suffer great financial losses each year due to rice disease. Therefore, the identification and classification of rice diseases are very important. Prompt, timely, and accurate disease diagnosis prevents product loss and improves crop quality. This study focuses on the classification of whether rice paddy leaf is normal or has a disease (one of the following: bacterial leaf blight (BLB), bacterial leaf streaks (BLS), bacterial panicle blight (BPB): heart, downy mildew, hispa, and rice tungro disease (RTD)) using deep learning-based algorithms such as EfficientNet-b0, MobileNet-v2, and Places365-GoogLeNet. The best model for this simulation was found to be EfficientNet-b0 with an average accuracy of 97.74%.
Motion Analysis and Experiment of Multiple Magnetic Small-Scale Soft Robots
Authors: Zhang Pan , Qin Wenjie , Ma Haoyun , Wu Jundong , Wang Yangwu
Published: May 2023

Since magnetic field is penetrating and harmless to human body, magnetic soft robots driven by magnetic field have great potential in medical fields. Thus, magnetic soft robots have attracted wide attention. However, the current researches mainly focus on the design of a single magnetic soft robot. Multiple magnetic soft robots also deserve to be studied due to their applications in collaborative operation. This paper presents a new design and fabrication method of multiple magnetic small-scale soft robots with different magnetic strength, size, and length-width ratio. The robots can be controlled to move in different motion modes and motion states under identical magnetic field. By analyzing their magnetic response property, which is the switching conditions between the two motion modes, and analyzing their states of the walking motion, two robots are selected from a batch of fabricated robots to carry out experiment. The results show that the two robots can move in different motion modes in the identical magnetic field.
Characteristics of Urban Traffic Control Measures in China in the Background of COVID-19
Authors: Hao Zezhong , Zhang Xiuwu
Published: May 2023

The rapid global spread of the coronavirus disease 2019 (COVID-19) is now a reality. China has taken urban traffic control measures to prevent and control the epidemic, but this has prevented the flow of people between cities. This study investigates the mechanism of the impact of urban traffic control measures on the intercity population flow in China using the one-way causal measurement method. The results show that the impact of urban traffic control measures on the intercity flow of the population changes with time. Based on this, this study makes scientific suggestions for the government on how to reasonably undertake traffic control measures.
Exploring Self-Attention for Visual Intersection Classification
Authors: Nakata Haruki , Tanaka Kanji , Takeda Koji
Published: May 2023

Self-attention has recently emerged as a technique for capturing non-local contexts in robot vision. This study introduced a self-attention mechanism into an intersection recognition system to capture non-local contexts behind the scenes. This mechanism is effective in intersection classification because most parts of the local pattern (e.g., road edges, buildings, and sky) are similar; thus, the use of a non-local context (e.g., the angle between two diagonal corners around an intersection) would be effective. This study makes three major contributions to existing literature. First, we proposed a self-attention-based approach for intersection classification. Second, we integrated the self-attention-based classifier into a unified intersection classification framework to improve the overall recognition performance. Finally, experiments using the public KITTI dataset showed that the proposed self-attention-based system outperforms conventional recognition based on local patterns and recognition based on convolution operations.
Optimization Design Method of Spherical Magnetic Field Generation Coil Based on Differential Evolution Algorithm
Authors: Xu Wei , Ge Jian , Yu Hong , Xiao Min
Published: May 2023

In a coil magnetometer, the size and uniformity of the bias magnetic field generated by the Helmholtz coil directly determine the accuracy of the solution of the geomagnetic direction. The design of traditional spherical coils relies heavily on the manual experience or mathematical derivation, making it difficult to obtain optimal parameters or requiring larger spherical coils. To address the problem, first, a coaxial symmetrical spherical coil model that improves space utilization was established. Second, an optimal design method for the spherical magnetic field generation coil based on a differential evolution algorithm was proposed. Third, the optimal bias magnetic field was obtained without increasing the volume of the coil. The verification results showed that the magnetic non-uniformity and magnetic gradient of the bias field generated by the optimized coil were reduced by 63.2% and 82.8%, respectively.
IT-Enabled Interactions and Interfirm Trust: The Moderating Role of Relationship Duration
Authors: Li Miao
Published: May 2023

The importance of information-technology (IT)-enabled interactions in promoting interfirm trust has been documented in literature. However, the currently available findings are limited because the role of IT-enabled informal interactions has been overlooked and the categorization of trust is unclear. To obtain detailed knowledge about the relation between IT-enabled interactions and trust, this study categorizes not only the IT-enabled interactions into formal and informal types but also trust into goodwill and competence trust. Moreover, this study explores the moderating role of relationship duration on the aforementioned relationships. Through a survey of 240 firms in China, this study made the following observations: (1) IT-enabled formal and informal interactions can promote both competence and goodwill trust; (2) compared with IT-enabled informal interactions, IT-enabled formal interactions promote competence trust, and a comparable extent of goodwill trust; (3) relationship duration strengthens the positive link between IT-enabled formal interactions and competence trust; however, it has no moderating impact on the link between IT-enabled formal interactions and goodwill trust; (4) relationship duration weakens the impact of IT-enabled informal interactions on goodwill trust; however, it has no significant moderating role on the relation between IT-enabled informal interactions and competence trust. Overall, this study enriches the knowledge regarding the relationship between IT-enabled interactions and interfirm trust.
Materi Alat dan Metode Pembelajaran Dalam Sistem Pendidikan Islam di Era Digital
Authors: Sugiyono Sugiyono , Khojir Khojir
Published: May 2023

Abstract 

Innovation in the Islamic education system in the midst of the speed of change in the digital era as a necessity, adequate learning tools in the form of materials, tools and methods are indispensable in improving the quality of Islamic education. The purpose of this research is to describe views about the nature of materials, tools, and learning methods in the Islamic education system in the digital era. The type of research is literature with data analysis techniques of descriptive type with data collection from the google schoolar application. The results of the study illustrate that most researchers have a view of the nature of materials, tools and methods as a mechanism to achieve quality educational goals, which are supported through the integration of the values ​​of the Qur'an and hadith and the use of information technology in them.

 

Keywords: Materials, Tools, Methods, Digital Era 

Abstrak :

Inovasi dalam sistem pendidikan Islam di tengah kecepatan perubahan di era digital sebagai sebuah keniscayaan, perangkat pembelajaran yang memadai dalam bentuk materi, alat dan metode sangat diperlukan dalam meningkatkan mutu pendidikan Islam. Tujuan penelitian untuk mendeskripsikan pandangan tentang hakikat materi, alat, dan metode pembelajaran dalam sistem pendidikan Islam di era digital. Penelitian berjenis kepustakaan dengan teknik analisis data berjenis dekriptif analisis dengan pengumpulan data dari aplikasi google schoolar. Hasil penelitian menggambarkan bahwa sebagian besar peneliti memiliki pandangan tentang hakikat materi, alat dan metode sebagai mekanisme untuk mencapai tujuan pendidikan yang berkualitas, yang didukung melalui pengintegrasian nilai-nilai Al-Qur'an dan hadits dan pemanfaatan teknologi informasi di dalamnya. 

Kata kunci: Bahan, Alat, Metode, Era digital
Desarrollo y pruebas psicométricas de una escala estandarizada de autoinforme para evaluar el método acuático comprensivo en educadores acuáticos
Authors: Castañón Rubio Irene , De Paula Borges Luciane , Moreno Murcia Juan Antonio
Published: May 2023

Antecedentes: El método acuático comprensivo se presenta como una forma de enseñar en el medio acuático que permite optimizar el aprendizaje del alumno. Aunque su medición puede ser fundamental, todavía no se dispone de autoinformes estandarizados.
Objetivos: Este estudio tiene como objetivo describir el desarrollo y la evaluación psicométrica de la Escala de Medición del Método Acuático Comprensivo (EMMAC), un nuevo autoinforme estandarizado para medir la metodología de enseñanza en el medio acuático. La construcción de la escala se basó en investigaciones previas relevantes y en la participación de investigadores y profesionales, expertos en educación acuática.
Método: Un total de 3, 9, 53, 194, 374 y 26 educadores acuáticos participaron en la validación.
Resultados: A través del método Delphi, los análisis factoriales exploratorios y confirmatorios apoyaron una estructura de tres factores de la EMMAC, que consta de 26 ítems que miden una forma de enseñar que se aproxima al método acuático comprensivo. La consistencia interna (Ω que oscilaron entre .73 y .83), una adecuada fiabilidad test-retest y evidencias de validez convergente.
Conclusiones: Este estudio proporciona un apoyo inicial para el uso de la EMMAC por parte de educadores acuáticos, sugiriendo que es una herramienta prometedora para una medición rápida y fácil de administrar para identificar si la forma de enseñar utilizada por el educador se aproxima al Método Acuático Comprensivo.
Palabras clave: Educación acuática, metodología, juego, natación, enseñanza, medición.
Phenotypic and Genetic Characterization of children with Wilson Disease from Northeast China
Authors: Zhang Tianhe , Song Wenliang , Mao Zhiqin
Published: May 2023

Background Wilson's disease (WD) is an autosomal recessive genetic disease caused by ATP7B gene mutations and characterized by copper metabolism disorders. Objective This study aimed to highlight the phenotypic and genetic characteristics of children with WD in Northeast China. Methods We retrospectively analyzed clinical data and gene sequencing results of 65 children with WD from January 1, 2014 to December 31, 2022 in Shengjing Hospital of China Medical University. Results The mean age at the time of the diagnosis of WD was 6.3 ± 3.52 years (range 1.2–15 years). Fifty cases (50/65, 76.9%) were asymptomatic and only found abnormal liver function during physical examination. However, they had negative Kayser–Fleischer (KF) ring with significant difference (p < 0.05). Children with acute liver failure had significantly elevated 24hr urinary Cu excretion (p < 0.05). We detected a total of 46 gene mutations in ATP7B gene, including 7 novel mutations. The most frequent mutation was p.R778L with an allelic frequency of 38.7%. Phenotype–genotype correlation analysis suggested that p.R778L was significantly associated with lower levels of serum ceruloplasmin and higher zinc levels (p < 0.05). LOF (loss of function) mutation was significantly associated lower albumin (p < 0.05). Conclusion Most children with WD are asymptomatic, which makes early diagnosis of WD challenging, and it is necessary to perform genetic test. p.R778L is the most frequently mutation of ATP7B gene in China and may play an important role in lower levels of serum ceruloplasmin.
A specific new analytical method for determining linagliptin in pure and combination drug products (Empagliflozin and Metformin)
Authors: Sahloul Lujain , Salami Maisam
Published: May 2023

Linagliptin is an oral antidiabetic agent, used to treat type 2 diabetes. It is taken orally independently or in combination with Empagliflozin and Metformin HCl. Chromatographic Analysis methods were demonstrated for simultaneous analysis of two or three antidiabetic drugs (Linagliptin, Empagliflozin and/or Metformin). This article is interested in the validation of a simple, fast and specific method that relies on chemical derivatization and uses a VIS spectrophotometer to determine LINA in pure and combination drug products alongside Empagliflozin and Metformin. The developed method was reached by reacting LNG with Para-Dimethylaminobenzaldehyde (PDAB) 5% in an acidic medium (Hydrochloride 37%) in a water bath to produce a yellow Schiff base which can be measured at a wavelength of 407 nm. The developed method has good accuracy and precision. PDAB does not interact with Empagliflozin or Metformin under these optimal conditions. Therefore, this developed method is distinguished by its accuracy and specificity in assaying Linagliptin both alone and in combination drug products.
The experience of young stroke survivors: An interpretative phenomenological study
Authors: Thompson Claire , Moss Simon Andrew , Hooper Mary-Ellen , Kurz Ella , Ladbrook Elyse , Bushell Mary
Published: May 2023

Background: While stroke is becoming increasingly prevalent in young people (<65 years), diagnosis, treatment, rehabilitation, and management continue to reflect the needs of older people. Health services are not accommodating young stroke survivors' distinct needs, trajectories, preferences, and risk factors.
Objectives: The purpose of this study was to characterise and appreciate the experience of young stroke survivors.
Methods: Qualitative in-depth semi-structured interviews were conducted with 11 stroke survivors aged between 18 and 49 (via virtual conferencing software). Interview data were analysed using interpretative phenomenological analysis.
Results: Young stroke survivors experience a sense of alienation when healthcare providers imply their stroke is an anomaly and are surrounded by elderly patients in stroke units. Alienation and additional emotional concerns, coupled with memory and communication difficulties, compromised survivors’ sense of agency. Many participants also developed and exhibited resilience, gratitude, and acceptance, preserving their mental health.
Conclusions: The experience of young stroke survivors is distinct. By considering the unique trajectory of young stroke survivors, health services will be better able to facilitate the rehabilitation of this population.
Mutation Analysis and Characteristics of the 5T Allele in the Cystic Fibrosis Trans Membrane Gene
Authors: mafruchati maslichah , Ismail Wan Iryani Wan
Published: May 2023

Mutation in cystic fibrosis was associated with the T allele, causing abnormalities in mRNA of cystic fivbrosis and on Congenital Bivariate vas Deferens (CBAVD). Purpose of this paperwas to determine mutations in the 5T allele in the cystic fibrosis trans membranegene. This study used 500 married men with CBAVD who had regular sex reported being infertile as samples. All of the patients shared these traits, including impalpability of the scrotal vas deferens, low volume and pH levels in the semen. DNA was extracted in the laboratory from 3–5 ml of pre-processed blood lymphocytes. The next steps are gel-gradient electrophoresis, PCR, and extraction. It was discovered that the 5T allele had a mutation. From the results of the research conducted, mutations or changes in amino acids were found in the 5T allele and cystic fibrosis trans membrane. Information on the frequency of the 5T allele in various populations of sample was available. Other visible result were the cystic fibrosis trans membrane Intron 8 gene PCR outcomes.
Widespread CO2 and CO in the Trans-Neptunian Population revealed by JWST/DiSCo-TNOs
Authors: Hénault Elsa , Pinilla-Alonso Noemi , Holler Bryan , Brunetto Rosario , Feliciano Ana Carolina de Souza , Stansberry John , Harvison Brittany , Müller Thomas , Bannister Michele , Cruikshank Dale , Emery Joshua , Guilbert-Lepoutre Aurélie , Licandro Javier , Lorenzi Vania , Peixinho Nuno , Pendleton Yvonne , Schambeau Charles , De Pra Mario
Published: May 2023

Carbon dioxide (CO2) is one of the most abundant ices in the solar system. It has been detected in giant planet atmospheres and on their moons, on and around comets, and even in regions of Mercury, the Moon, and Mars. However, despite their formation in the coldest regions of the protoplanetary disk, CO2 was not previously detected on trans-Neptunian objects (TNOs). Carbon monoxide (CO) was only expected to be present in the largest TNOs. Out of 45 total, we report the detection of both CO2 and CO in 42 and 24 TNOs, respectively, observed with the NIRSpec instrument on the JWST by the DiSCo-TNOs project (PID 2418). Our analysis shows that \diox is widespread in the trans-Neptunian region, independent of dynamical class, while CO is a common constituent of the reddest objects in our sample. The abundance and characteristics of \diox suggest that most of it could be primordially accreted. While, CO is probably being produced by ion irradiation of CO2 and other C-bearing species. Our results suggest the prevalence of two compositional groups among TNOs based on the abundance and properties of CO2 and CO. We discuss the implication of these results in the context of solar system formation.
Expression of the cGAS-STING pathway is associated with high levels of genomic instability and immune cell infiltration in breast cancer
Authors: Chen Mengting , Yu Shibo , Sluis Tineke van der , Zwager Mieke , Schröder Carolien , Vegt Bert Van der , Vugt Marcel van
Published: May 2023

Genomic instability is a hallmark of cancer, and can be caused by oncogene-induced replication stress. Besides driving the evolution of cancer genomes, genomic instability can lead to the activation of inflammatory signaling, involving the cGAS-STING and JAK-STAT pathways. Inflammatory signaling has been associated with pro-tumorigenic features, but has also been associated with favorable response to treatment, including to immune checkpoint inhibitors. To improve our understanding of the relations between genomic instability and to ultimately guide patient selection for treatment, we investigated the cGAS-STING pathway in relation to markers of replication stress and immune cell infiltration in breast cancer. Immunohistochemistry was performed to determine the expression of cGAS-STING signaling components (STING, phospho-TBK1, and phospho-STAT1), replication stress markers (γH2AX and phospho-RPA32), replication stress-related oncogenes (Cyclin E1 and c-Myc) and immune cell markers (CD20, CD4, and CD57) on primary breast cancer samples (n = 380). Clinical data and mRNA expression data from two public breast cancer databases (TCGA and METABRIC) and an immune therapy trial (I-SPY2) were used to investigate the correlation between cGAS-STING pathway activation, genomic instability markers and patient response to immune therapy. We find that phospho-TBK1, and phospho-STAT1 were highly expressed in triple-negative breast cancers (TNBCs). In addition, expression of genomic instability markers γH2AX and pRPA, replication stress-related oncogenes Cyclin E1 and c-Myc, and immune cell markers were all positively correlated with phospho-STAT1 expression (P < 0.001). We also found that phospho-TBK1 was positively associated with γH2AX (P < 0.002), c-Myc (P < 0.001), CD4 (P < 0.001) and CD20 (P < 0.05). Besides, a positive correlation between perinuclear STING and CD4 was observed (P < 0.01). Accordingly, cGAS-STING pathway components also showed the highest expression levels in TNBCs in both TCGA and METABRIC cohorts. Also, cGAS-STING scores were significantly positively correlated with metrics of genomic instability, including homologous recombination deficiency (HRD) (TCGA: r = 0.296, P < 0.001) and tumor mutational burden (TMB) (TCGA: r = 0.254, P < 0.001; METABRIC: r = 0.0632, P < 0.01). Moreover, higher expression of the cGAS-STING score was also observed in patients who responded to immunotherapy. In conclusion, our study shows that the cGAS-STING pathway is highly expressed in TNBCs, and is positively correlated with genomic instability and immune cell infiltration.
Environmental Factors and Distribution of Tree Species in Wetlands Eastern Amazon, Brazil
Authors: Carim Marcelo de Jesus Veiga , Wittmann Florian Karl , Piedade Maria Teresa Fernandez , Steege Hans Ter , Torres Admilson Moreira , Junior Orleno Marques da Silva , de Oliveira Cinthia Pereira , Vasconcelos Caroline da Cruz , Aparaício Perseu da Silva , de Lima Robson Borges
Published: May 2023

This article analyzes the influence of environmental factors and their correlations on the distribution of tree species, which is an efficient way to understand the differences in composition and richness between forest ecosystems. Although many works have traced an efficient profile in an attempt to describe the composition and species richness associated with environmental factors and the flooding regime throughout the Amazon, few have portrayed these relationships between tidal floodplain and igapo forests in the Amazon estuarine. We analyze the influence of environmental factors in soil (physical and chemical) and the flooding period on the distribution, composition and richness of tree species. The examined forests were systematically evaluated in 26 ha− 1, divided equally between them. All trees (DBH ≥ 10 cm) were recorded, and principal component analysis (PCA) was employed as a way of assessing the associations of environmental variables and species distribution. The environmental variables responded differently for each type of forest, showing some consistency with the peculiar characteristics of each environment; in the igapo forest, acidity, aluminum concentration, flood duration, potassium and sand content affected species distribution, while CEC, SB, silt, Ca, flood duration, pH, K, and P content did so in the floodplain. Notably, the forests presented similar structures. Nevertheless, the igapo forest presented three times more species richness than the floodplain. We suggest that the distribution of species responds to environmental factors in a very particular way, allowing each environment to establish greater efficiency in the use of its resources.
Experimental study on physical intervention of Virtual Reality cycling on simple obese college students
Authors: Zhao Meng , Lei Ying , Wei Ziran , You Ming , Chen Lei
Published: May 2023

Purpose
The aim of this study was to investigate the effectiveness of Virtual Reality (VR) cycling as an intervention for physique improvement in simple obese college students.
Methods
A literature review, questionnaire survey, and 12-week experimental comparison were conducted using mathematical statistical methods on 41 simple obese college students in Nanjing, China.
Results
The results showed that 12 weeks of VR cycling had a significant effect on fat loss and shaping in simple obese college students. The weight, BMI, waist circumference, hip circumference, and waist-to-body ratio decreased by 5.25%, 5.22%, 4.44%, 2.44%, and 2.1%, respectively, while lung capacity increased by 9.15%. Significant differences were observed within 10%, 5%, and 1%. Moreover, there were gender-based differences in the morphological changes. Men's abdominal fat consumption was slightly greater than that of women, resulting in a significant reduction in the waist and buttocks of men compared to women.
Conclusion
The study concludes that VR cycling is a more engaging and interesting intervention for fat loss and shaping than traditional aerobic exercise. By adjusting the exercise time and course difficulty, participants are more likely to adhere to the exercise regimen, leading to significant weight loss and other positive outcomes. The results of this study could be useful for designing effective interventions to improve the physique of obese individuals.
Identification and Validation of a Prognostic Model Based on Five Copper Metabolism-related Genes in Hepatocellular Carcinoma
Authors: Luo Rui , Xu Huan , Huang Shu , Peng Jieyu , Shi Xiaomin , Zhang Wei , Shi Lei , Zhong Xiaolin , Peng Yan , Lü Muhan , Tang Xiaowei
Published: May 2023

objective Hepatocellular carcinoma (HCC) is a prevalent malignancy, with high mortality and easy recurrence. Copper metabolism regulates tumor’s development and progression via several biological pathway and has significant clinical value in HCC. Thus, we identified potential gene biomarkers related to copper metabolism to establish a novel predictive model to predict the survival of HCC patients.Methods Our research utilized various statistical analysis methods to construct a new model to predict the prognosis of HCC. The LASSO-COX algorithm shrank the coefficients of the predictive factor. The construction of the model was in Cancer Genome Atlas (TCGA), and the validation was in International Cancer Genome Consortium (ICGC) cohort. We performed GO and KEGG analyses to enrich the function annotations of the selected genes. The nomogram and receiver operating characteristic (ROC) curve analysis were used to evaluate the model's performance.Results A risk-predictive scoring model of 5 copper metabolism-related genes (AOC1, LOX, STEAP4, MAPT, and LCAT) was constructed by the data from TCGA after LASSO-COX regression analysis and validated by the data from ICGC. Moreover, GO and KEGG analyses of the predictive signature revealed that the signature was mainly associated with copper ion binding, metal ion, oxidoreductase activity acting on the CH-NH2 group of donors, and tryptophan metabolism. The OS of the high-risk group was significantly lower than that of the low-risk group. Time-dependent ROC evaluated the performance of this model with AUC values for 1, 2, and 3 years of 0.749, 0.741, and 0.723 in OS, respectively. The nomogram, combining the risk score and clinical features, showed a solid prognostic ability in HCC.Conclusion A reliable predictive score model was constructed, which could be a valuable prognostic indicator and a clinical treatment selection guiding in HCC with 5 CMRGs.
Modified medial minimally invasive plate osteosynthesis techniques for the treatment of distal third diaphyseal fracture of humerus using a double plate technique
Authors: Ye Youyou , Lin Yanbin , Wu Chunling , Zhu Yunzhe
Published: May 2023

Purpose The surgical approach and the placement of plates for the treatment of distal third diaphyseal fracture of the humerus are controversial. The aim of this retrospective study was to evaluate the clinical and radiographic outcomes when modified medial minimally invasive plate osteosynthesis (MIPO) techniques for the treatment of distal third diaphyseal fracture of the humerus using a double plate technique were performed.Methods A total of 20 patients with a distal third diaphyseal fracture of the humerus were selectd from our hospital. Patients were seen between January 2017 and May 2019. They were treated with a modified medial approach combined with MIPO techniques using a double plate technique. Patient demographics, operation time, bleeding volume, union time, complication, the mean fracture length(FL) and distal cortical length (DCL), and the number of screws in the distal fragment were analyzed. The function of the shoulder and elbow were evaluated using Neer's assessment of the shoulder and Mayo's assessment of the elbow.Results The FL was 57.7 ± 7.7mm and the DCL 39.1 ± 5.2mm. The mean operative time was 88.3 ± 12.6min (range 60-110min). The mean blood loss on surgical treatment was 47.8 ± 10.6ml(range 30-60ml). Bone healing was observed in all patients from 10 to 14 weeks (average 11.9 ± 1.8) and there were no complications recorded. All the patients had good function of both the shoulder and elbow. The maximum flexibility of the elbow ranged from 130° to 145° (average 138.5 ± 4.9°) with maximum flexibility straightness 0° to 5° (average 2.2 ± 1.5°). The Mayo elbow joint function score was 80–100 (average 92.7 ± 5.1). The Neer shoulder joint function score was from 85–100 (average 93.6 ± 3.5).Conclusion The modified medial approach had the advantages of no iatrogenic radial nerve nor ulnar nerve injuries. The anterior and the medial side plate were fixed perpendicular to the distal humerus and can offer higher stability at the same time producing better shoulder and elbow joint function.
Behavioral Evidence for Global Consciousness Transcending National Parochialism
Authors: Liu James H. , Choi Sarah Y. , Lee I-Ching , Leung Angela K-y. , Lee Michelle , Lin Mei-Hua , Hodgetts Darrin , Chen Sylvia Xiaohua
Published: May 2023

While national parochialism is commonplace, individual differences explain more variance in it than cross-national differences. Global consciousness (GC), a multi-dimensional concept that includes identification with all humanity, global prosociality, and respect for cultural diversity, transcends national parochialism. Across cultures (N = 11163), most notably the USA and China, individuals high in GC were more generous allocating funds to the other in a dictator game, cooperated more in a one-shot prisoner’s dilemma, and differentiated less between the ingroup and outgroup on these actions. They gave more to the world and kept less for the self in a multi-level public goods game. GC profiles showed 80% test-retest stability over 8 months. Implications of GC for cultural evolution in the face of trans-border problems are discussed.
Multi-omics approach reveals influenza-A virus target genes associated genomic, clinical and immunological characteristics in cancers
Authors: Wang Jiaojiao , Liao Yong , Yang Pinglian , Ye Weile , Liu Yong , Xiao Chunxia , Liao Weixiong , Chen Chunbo , Liu Zhiping , Huang Zunnan
Published: May 2023

Influenza A virus has been shown to be closely linked to diverse malignancies and may work as an oncovirus. However, the specific role of influenza A virus as well as its target genes in cancer initiation and progression remain unclear. Thus, in this study, a comprehensive evaluation of influenza A virus target genes (IATGs) was performed in thirty-three tumor types by using multi-omics data from The Cancer Genome Atlas (TCGA) and The Cancer Proteome Atlas (TCPA) databases. In the genomic landscape, a high frequency of genetic and epigenetic alterations in the IATGs were found and subsequently affected tumor progression. Moreover, transcriptome analysis revealed that the expression of IATGs was differentially expressed in diverse tumors and could be used to predict clinical survival in patients. In addition, IATGs were also closely associated with cancer-related signaling pathways as well as the immune microenvironment. Furthermore, the involvement of IATGs in the regulation of the resistance of anti-cancer drugs was uncovered. The transcript expression of six identified IATGs in kidney renal clear cell carcinoma (KIRC) was validated by qRT-PCR. In conclusion, this study revealed the genomic alterations and clinical features of IATGs, which may provide new hints for exploring the potential molecular mechanisms between tumors and the influenza A virus. This will also provide new clues for developing novel targeted therapeutic strategies such as viral immunotherapy, promoting the discovery of tumor-related viruses, and designing individualized treatment for tumor patients.
Flow field analysis of nutation blood pump based on heart-pump coupling model and speed control
Authors: Zhang Bo , Yao Ligang , Liu Yaming , Luo Biaolin
Published: May 2023

The active speed modulation of the blood pumps is considered an effective strategy for reducing postoperative complications. Nutation blood pumps have attracted widespread attention due to their small size, low rotational speed, and low risk of embolism, but there is a lack of research on the feasibility of rotational speed regulation. Therefore, the purpose of this article is to research the effect of the speed regulation of the nutation blood pumps on its internal flow field and blood damage. In this article, a cardiovascular system-nutation blood pump coupling model is proposed based on the human blood circulation system. The computational fluid dynamics (CFD) method is used to simulate the internal flow of the whole flow channel under the modulation of the rotational speed of the nutation blood pump. The coupling model was numerically simulated under speed regulation, and the obtained left ventricular and aortic pressures were set as the inlet and outlet boundary conditions for the CFD simulation of the blood pump. The blood pump flow field and blood damage are analyzed under four rotational speed conditions (the uniform speed, the sine wave, the square wave, and the triangular wave). The results show that the flow pulsation of the blood pump under speed regulation is enhanced, which is a feasible solution to restore the blood flow fluctuation. Among them, the flow pulsation index of the blood pump under the sinusoidal speed regulation is the highest, which is 1.91 times that of the uniform speed state. At the same time, the degree of blood damage in the blood pump is relatively low, which is an ideal speed regulation waveform.
The Book Forum:Recommendation Application System using Collaborative Filtering and Autoencoders
Authors: Chawade Ayushi , Khairnar Kalpesh , Khamkar Vaishnavi , Sonawane Pratham
Published: May 2023

Reading books are a great way to escape from the hectic routine of our daily lives. It allows us to step away from reality and enter another world. The book recommendation system also encourages the students to broaden their horizons and discover new genres and authors they may have never encountered before. Algorithms such as collaborative filtering, content-based, association rules, etc. have been in existence to develop personalized book recommendations based on the user's preferences and reading history. In addition, book recommendation systems have become increasingly popular in the digital age due to the convenience and accessibility of e-books and audiobooks. An approach with a hybrid of content and collaborative filtering is an effective method for creating personalized book recommendations with neural network architecture on the algorithm. This approach can provide more accurate recommendations by combining the user's preferences and reading history with the characteristics of the books, such as genre, and author with more scalability and accuracy making it suitable for large-scale book recommendation systems used by online bookstores or libraries. A book recommendation system can significantly enhance the user's reading experience by providing personalized suggestions that cater to their interests and preference.
Establishing comprehensive quaternary structural proteomes from genome sequence
Authors: Mih Nathan , Lu Maxwell , Palsson Bernhard , Catoiu Edward
Published: May 2023

A critical body of knowledge has developed through advances in protein microscopy, protein-fold modeling, structural biology software, availability of sequenced bacterial genomes, large-scale mutation databases, and genome-scale models. Based on these recent advances, we develop a computational platform that; i) computes the oligomeric structural proteome encoded by an organism’s genome; ii) maps multi-strain alleleomic variation, resulting in the structural proteome for a species; and iii) calculates the 3D orientation of proteins across subcellular compartments with angstrom-level precision. Using the platform, we; iv) compute the full quaternary E. coli K-12 MG1655 structural proteome; v) deploy structure-guided analyses to identify consequential mutations; and, in combination with a genome-scale model that computes proteome allocation, vi) obtain a draft 3D visualization of the proteome in a functioning cell. Thus, in conjunction with relevant datasets and computational models, we can now resolve genome-scale structural proteomes to obtain an angstrom-level understanding of whole-cell functions.
Bacterial community structure and mucin drive Pseudomonas aeruginosa diversification and pathoadaptation
Authors: Johansen Helle Krogh , Pitchford Jon , Friman Ville-Petri , Bottery Michael
Published: May 2023

While several environmental factors contribute to the evolutionary diversification of the pathogenic bacterium Pseudomonas aeruginosa during cystic fibrosis lung infections, relatively little is known about the impact of the surrounding microbiota. By using in vitro experimental evolution, we show that virulent subpopulations of P. aeruginosa are maintained in the presence of interspecies competition by Stenotrophomonas maltophilia, Staphylococcus aureus, or them both, but lost in the absence of competition due to mutations in genes involved in Las, Rhl, and Pseudomonas Quinolone Signal quorum sensing systems. Moreover, the strength of competition is attenuated through changes in the physical environment by the addition of mucin, resulting in selection for phenotypes resembling those evolved in the absence of competition. Together, our findings show that variation in mucosal environment and interspecies interactions can determine the evolutionary trajectory of P. aeruginosa, partly explaining its diversification and pathoadaptation from acute to chronic phenotype during CF lung infections.
Maximizing Renewable Energy Integration in Distribution Networks: An ESCSO Algorithm for Optimal PV and WT Planning under Uncertainty
Authors: Abdel-Mawgoud Hussein , Kamel Salah , Hassan Mohamed H. , Selim Ali , El-Sehiemy Ragab , Shaheen Abdullah , Jurado Francisco
Published: May 2023

With the rapid growth of technology and population, there has been a corresponding increase in electricity demand and system load. To meet this demand, the installation of renewable energy sources (RESs), such as wind turbines (WTs) and photovoltaics (PVs), in distribution systems is widely accepted as the best solution. This paper proposes an efficient modified method called ESCSO, which combines the Sand Cat Swarm Optimizer (SCSO) and Marine Predators Algorithm (MBA) algorithms to obtain the optimal allocation of WT and PV in radial distribution systems (RDS), with and without inverters. The presented objective function considers system loss, variable load, and the probabilistic output of WT and PV over 24 hours. The IEEE 69-bus RDS is used as the test system, with its equality and inequality constraints. The ESCSO method is compared with the original SCSO and MBA algorithms to measure its efficiency. The results show that installing multiple WT and PV yields better results than using a single WT and PV in RDS. Furthermore, incorporating WT and PV with an enabling inverter yields better results than using WT and PV without an enabling inverter in RDS.