bluuebunny/crossref_metadata_2025_split huggingface dataset:
Save our surgeons (SOS) – an explorative comparison of surgeons’ muscular and cardiovascular demands, posture, perceived workload and discomfort during robotic vs. laparoscopic surgery
Authors: Krämer Bernhard , Neis Felix , Reisenauer Christl , Walter Christina , Brucker Sara , Wallwiener Diethelm , Seibt Robert , Gabriel Julia , Rieger Monika A. , Steinhilber Benjamin 
Published: October 2022

Abstract
Purpose: Conventional laparoscopic surgery (CLS) imposes an increased risk of work-related musculoskeletal disorders. Technical innovations, such as robotic-assisted laparoscopic surgery (RALS), may provide ergonomic benefits. We compare the surgeon`s work-related demands of CLS vs RALS for benign hysterectomies.
Methods: Five specialists (3 females, 2 males) each performed four RALS and four CLS as part of their daily clinical routine. During the surgical procedures, muscular demands were assessed by bipolar surface electromyograms of the descendent trapezius, extensor digitorum and flexor carpi radialis muscles as well as cardio-vascular demands by electrocardiography, and neck, arm and torso posture by gravimetrical position sensors. Additionally, the subjects rated their level of perceived workload (NASA TLX questionnaire with 6 dimension) and musculoskeletal discomfort (11-point Likert-scale, 0-10).
Results: Muscular demands of the trapezius and flexor carpi radialis muscles were lower with RALS but extensor digitorum demands increased. Cardiovascular demands were about 9 heart beats per minute (bpm) lower for RALS compared to CLS with a rather low median level for both surgical techniques (RALS = 84 bpm; CLS 90 bpm). The posture changed in RALS with an increase in neck and torso flexion, and a reduction in abduction and anteversion position of the right arm. The perceived workload was lower in the physical demands dimension but higher in the mental demands dimension during RALS. Subjective musculoskeletal discomfort was rare during both surgical techniques.
Conclusions: This explorative study identified several potential ergonomic benefits related to RALS which now can be verified by studies using hypothesis testing designs. However, potential effects on muscular demands in the lower arm extensor muscles also have to be addressed in such studies.
Electrochemical Biosensor to Detect Implant Derived Metal Ions: A Mice Model
Authors: Gokul Deeptha , Catton Eniola , Cheng Kai Yuan , Mathew Mathew 
Published: October 2022

Abstract
Joint replacement surgeries are progressing at an increased rate in the United States, with around 1 million surgeries being performed annually. While these orthopedic implants provide a solution for a damaged joint, debris such as metal ions generated due to the wear and corrosion of the implants prove to be of considerable risk of systemic and local toxicity. As an effective diagnostic tool, there is a need to develop a patient-friendly, cost-effective, and rapid mode of metal ion detection in orthopedic patients with various implants. In this study, an electrochemical biosensor chip (Dropsens) is proposed as a diagnostic tool to detect metal ions through changes in impedance. In vivo studies were conducted using CoCrMo particles intra-particularly injected into mice. Then, blood was collected on 0th day, 14th day, and 28th day after injection and was centrifuged to obtain serum. The serum was subject to various electrochemical techniques such as Electrochemical Impedance Spectroscopy (EIS) and cyclic voltammetry (CV). Additionally, standardization experiments were performed using different concentrations of CoCrMo wear particles suspended in PBS and mice serum. The EIS standardization experiments reveal a negative correlation between impedance (Rp) value obtained after fitting with the equivalent CPE model and metal ion concentration in mice serum. A regression equation was obtained from the standard experiments. The CV data for differing metal ion concentrations and the regression equation were also obtained. The mice model data, the bode plot which depicts the change in impedance and phase angle at each frequency, the positive control group shows the highest impedance at any frequency followed by the experimental 28th day mice serum. The % change in impedance between the different groups revealed the increasing presence of metal ions in serum on 28th day. The CV experimental data obtained reveal a possible correlation between CV area and metal ion concentrations. Experimental mice models were established to mimic the possible diffusion of metal particles from implants. Dropsens electrochemical biosensors were efficiently employed to detect metal ions in serum through changes in impedance.
Construction of Cinnamomun bodinieri cDNA library and screening of upstream regulators of CbP5CS using yeast one hybrid
Authors: Han Haozhang , Zhang Lihua , Li Suhua , Zhao Rong , Wang Fang , Wang Xiaoli 
Published: October 2022

Abstract
Alkaline soil is a main factor limiting the introduction and popularization of Cinnamomun bodinieri. Proline is one of the most important compatible solutes that plants accumulate for osmotic adjustment in response to alkali stress. Therefore, it is of great significance to identity the key transcription factors that regulate the biosynthesis of proline and illustrate the underlying molecular mechanisms. In the present study, we constructed a C. bodinieri cDNA library using alkali treated root tissues. The titer of the library is 4.88×107CFU/mL. The average size of the inserts is 1000 bp, and the recombination efficiency is 100%. Then we cloned the promoter region of CbP5CS and screened the CbP5CS promoter interacting proteins by yeast one hybrid and high-throughput sequencing. Our results showed that 31 unique CbP5CS-interatcting ESTs were identified and 6 of them were annotated as transcription factors, including GW020491 (zinc finger CCCH domain-containing protein 25 isoform X1), GW028183 (AtbHLH104), GW000650 (transcription factor TFIIIC), GW007525 (RING/FYVE/PHD zinc finger superfamily protein), GW015686 (GATA type zinc finger transcription factor family protein), GW027120 (AtbHLH96). These transcription factors may play a key role in regulating the production of proline.
WRKY genes in black raspberry (Rubus occidentalis L.): duplicate and conquer
Authors: Felipez Winder , Pegoraro Camila , Maia Luciano , de Oliveira Antonio Costa 
Published: October 2022

Abstract
WRKY transcription factors regulate several biological processes in plants, including responses to biotic stresses and tolerance to abiotic stresses, and are part of a gene superfamily in higher plants. There are many studies on the functions of WRKY proteins in several model species, aiming at identification and functional characterization, but there has not yet been a comprehensive analysis of the RoWRKY protein family in black raspberry (Rubus occidentalis L.) as shown here. In this study, the investigation of the complete genome of the black raspberry identified 62 RoWRKY genes that were evaluated and are unevenly distributed in all seven chromosomes. The proteins encoded by these genes were classified into four groups (I, II, III and IV), with those of group II divided into five subgroups (IIa - IIe) based on their conserved domains and zinc finger domain types. Motif analysis showed that all RoWRKYs contained one or two WRKY domains and that proteins from the same group had similar motif compositions. Five pairs of RoWRKY genes in segmental duplication and two pairs in tandem duplication were detected. Analysis of the structure of RoWRKY genes showed that they have 1–11 introns, with most RoWRKY genes consisting of two introns and three exons. A cis element analysis showed that all promoters of the RoWRKYs genes contain at least one cis stress-response element. Differential expression analysis of 10 samples of RNA-seq data, reviewed RoWRKY genes from black raspberry, show preferential or specific expression in tissue samples. These findings provide a complete overview of the evolution and modification of the RoWRKYs protein family, which will help the functional characterization of these proteins in the response to biotic and abiotic stresses of black raspberry.
Context-based Detecting Fake News
Authors: Bouzidi Zair , Boudries Abdelmalek , Amad Mourad 
Published: October 2022

Abstract
In recent years, deep learning methods have successfully solved many fake news problems. Investing in fake news detection is an important for modern people's life, notably manager. In this paper, we utilized multiple factors for detecting and fighting fake news. It is treated as time series problem. The state-of-the-art natural language processing tool BERT is used to recognize the context of text, and the Hybrid of Deep CNN-Bi-Directional LSTM model, convenient in temporal dimension analysis, is applied to detect fabricated information. We have incorporated context as an important feature to improve the accuracy: we investigates the proposed method performance using two different data sets, showing, with the results that the proposed model, namely context-based a hybrid of Deep CNN-BLSTM approach performs well, in comparison with other results and methods.
The research of a novel WOG-YOLO algorithm forautonomous driving object detection
Authors: Xu Lingzhi , Yan Wei , Ji Jiashu 
Published: October 2022

Abstract
Object detection has been one of the critical technologies in autonomous driving. To improve the detection precision accuracy, a novel optimization algorithm is presented to enhance the performance of the YOLOv5 model. First, by improving the hunting behavior of the grey wolf algorithm(GWO) and incorporating it into the whale optimization algorithm(WOA), a modified whale optimization algorithm(MWOA) is proposed. The MWOA leverages the population’s concentration ratio to calculate ph for selecting the hunting branch of GWO or WOA. Tested by four benchmark functions, MWOA is proven to possess better global search ability and stability. Second, the C3 module in YOLOv5 is substituted by G-C3, and an extra detection head is added, thus a highly optimizable detection G-YOLO network is constructed. Based on the self-built dataset, 12 initial hyperparameters in the G-YOLO model are optimized by MWOA using a score fitness function of compound indicators, thus the final hyperparameters are optimized and the whale optimization G-YOLO(WOG-YOLO) model is obtained. In comparison with the YOLOv5s model, the overall mAP increases by 1.7%, the mAP of pedestrians increases by 2.6%, and the mAP of cyclists increases by 2.3%.
In-vitro evaluation of PCL-based film for guiding segmental bone defect
Authors: Khodabakhshi Vahid , Soleimanimehr Hamid , Haghighi Shahram Etemadi , Emam Ali 
Published: October 2022

Abstract
Segmental bone tissue engineering is a highly effective approach for the repair of large bone defects. In this paper, a PCL-based guide film was developed for controlling segmental bone tissue engineering. 3D bioprinting was used to fabricate the PCL/NaCl-based cylindrical films. The effects of the film's thickness and NaCl concentration on the mechanical properties, degradability, swelling behavior, porosity, and cytotoxicity of the samples were investigated. Response surface methodology was employed to study the mechanical behavior using the central composite design (CCD) results showed that increasing the NaCl concentration up to 10% wt. significantly improved the degradability, swelling, and hydrophilicity of the films. It was also indicated that the maximum stiffness of the guide films under vertical loading was almost 5 times more than the maximum stiffness in the horizontal loading direction, but the samples showed greater compressive strength and elongation under horizontal compressive loading. All the evidence indicated that the mechanical properties of the films were more dependent on the film thickness so the thicker films with an 800µm thickness had better mechanical properties in both vertical and horizontal loading. Cytotoxicity assay also approved the non-toxic effect of the PCL films on the MC3T3 osteoblast cell line. Based on the results, the PCL-based films were a suitable candidate to act as a guide for segmental bone tissue engineering.
Effect of number of well and core radius on the binding energy and optical properties of multishell spherical quantum dot with parabolic potential
Authors: Kirak Muharrem 
Published: October 2022

Abstract
In the current study, the probability densities and binding energy of the ground state and first excited sate in multishell quantum dot with parabolic confinement potential have been examined. Also, the effects of core radius, the number of well in structure and the presence of impurity on the total optical absorption coefficient have been investigated. The finite difference method has been used to obtain the energy levels and related wave functions of the system within framework effective mass approximation. The results obtained reveal that the number of well, especially the first five values, have a considerable impact on the critical core values of binding energy. It is found that the presence of impurity and the number of wells cause a blue shift in the peak positions of total absorption coefficients. Moreover, our results show that these factors have an important effect on the magnitude of optical properties.
Subclonal evolution in the mutational landscape of early Triple negative breast cancer (TNBC) on multi-agent chemotherapy: Comparison of Pre- And Post-Neoadjuvant Chemotherapy (NAC) Samples Of TNBC Patients With Residual Disease
Authors: Singh Ashish , Georgy Josh Thomas , Dhananjayan Sakthi , Sigamani Elanthendral , John Ajoy Oommen , Joel Anjana , Chandramohan Jagan , Abarna Rajadurai , Rebekah Grace , Backianathan Selvamani , Abraham Deepak Thomas , Paul Mazhuvanchary Jacob , Chacko Raju Titus , Manipadam Marie Therese , Pai Rekha 
Published: October 2022

Abstract
Background
Triple-negative breast cancer (TNBC) with residual disease post chemotherapy, have increased chance of relapse and lower survival with varying degree of pathological complete response (pCR) after neoadjuvant chemotherapy (NAC). However, the risk of recurrence is high among those who do not achieve pCR and characterizing the mutational landscape of this fairly heterogeneous subset of patients might provide some valuable insights.
Methods
The archival paired (pre- and post-NAC) samples of 25 patients with histopathologically confirmed TNBC with residual disease who received anthracycline-taxane as NAC, were processed by next-generation sequencing using a 72-gene panel. Somatic mutations were identified using UMI corrected .clc pipeline; gene annotation of the variants performed using VeP program. Data was analysed using IBM SPSS Statistics v23 and R v4.1.2 (RStudio 2021.09.1). The K-means algorithm was used to classify the samples into k number of clusters.
Results
Among all 50 tumour samples, a median of 12 mutations (IQR 7-17.25) per sample was observed. Missense mutations accounted for the overwhelming majority (73.5%). The predominant mutations in the pre-NAC samples were TP53(80%), PMS2(64%), PTEN(64%), ERBB2(48%), NOTCH1(44%) while the mutational profile was slightly different among the post-NAC samples: TP53(84%), AR(60%), PTEN(60%), PMS2(44%), ERBB2(40%). The burden of mutations did not differ among patients who received platinum or not (12.8 ± 6.9 Vs 11.25 ± 4.9; p-value 0.94), though there were several private mutations in the former group. Similarly, the tumor mutation burden was not very different among those with (n = 5) and without recurrence (14 ± 7.2 Vs 12.2 ± 6.6; p-value 0.49). The K-means clustering demonstrated two clusters -all patients with recurrence, except one, in the larger cluster.
Conclusions
The burden of mutations among the pre- and post-NAC samples mostly remained the same, although, mutations in specific genes for example- increase in mutations in the AR gene post-NAC, was noted. TP53 mutations predominated pre- and post-NAC. There was no significant difference in mutational burden and there were no recurrent / co-occurring mutations among those who received platinum therapy after NAC or among those with recurrence. The data throws significant light on the somatic mutational load, spectrum and heterogeneity, among TNBCs with residual disease.
Chaotic image encryption algorithm based on bit-plane and DNA multiplex operation
Authors: Zhang Yun tian , Zhao Bing 
Published: October 2022

Abstract
A novel bit-plane chaotic image encryption algorithm is proposed further to improve image encryption systems' security and anti-attack ability. This paper combines bit layer scrambling and Deoxyribonucleic Acid (DNA) encoding. In this paper, we design a novel bit-plane scrambling method using parity alignment and plaintext correlation chaotic sequences, which can significantly reduce the correlation between image pixels and the correlation between RGB layers. Then the intermediate ciphertext is DNA encoded by hyper-chaotic sequences with plaintext correlation, after the designed multiple operation diffusion, the ultimate ciphertext is generated. Furthermore, devised a new way of generating keys, which are highly correlated with plaintexts. This increases the algorithm's resistance to selective plaintext attacks. According to the simulation results, this paper's proposed image encryption algorithm can effectively resist differential and statistical attacks, has ample key space and sensitivity, and has ideal information entropy.
Double inertial steps with single projection method for variational inequalities involving pseudomonotone and non-Lipschitz mappings
Authors: Viet Thong Duong , Tien Dung Vu , Huong Huyen Pham Thi , Thanh Tam Hoang Thi 
Published: October 2022

Abstract
In this work, we investigate pseudomonotone and non-Lipschitz continuous variational inequality in real Hilbert spaces
and introduce a projection-type method with double inertial terms for solving them. The proposed algorithm combines the techniques of double inertial steps and the projection and contraction method. One only projection in the algorithm is used per iteration and the proposed algorithm does not require Lipschitz continuous condition of the variational inequality mapping and a sufficient condition for the weak
convergence is established under pseudomonotonicity and uniform continuity assumptions. Next, we also obtain an R-linear
convergence rate of the proposed method under strong pseudomonotonicity
and Lipschitz continuity assumptions. Finally, In order to illustrate the computational effectiveness of our algorithm, some numerical results
are also provided. The main results obtained in
this paper extend and improve some related works in the literature.
Order-dependent sampling control of uncertain fractional-order neural networks system
Authors: Ge Chao , Zhang Qi , Zhang Ruonan , Yang Li 
Published: October 2022

Abstract
The asymptotic stability of the fractional-order neural networks system with uncertainty by sampled-data controller is addressed in the article. First, considering the influence of uncertainty and fractional-order on the system, a new sampled-data controller is designed with alterable sampling period. In the light of the input delay approach, the fractional system is simulated by the delay system. The main purpose of the method presented is to design a sampled-data controller, which the closed-loop fractional-order system can guarantee the asymptotic stability. Then, the fractional-order Razumishin theorem and linear matrix inequalities (LMIs) are utilized to derive the stable conditions. A stability conditions are presented in the form of LMIs on the new delay-dependent and order-dependent. Furthermore, the sampling controller can be acquired to promise the stability and stabilization for fractional-order system. A numerical example is gotten to demonstrate the effectiveness and advantages for the provided method.
The thermodynamic and kinetic aspects of midazolam ring closure from benzophenone to benzodiazepine form, its acid-base equilibria and aromaticity. A quantum-chemical study
Authors: Oziminski Wojciech Piotr , Matysiak Michał 
Published: October 2022

Abstract
The process of midazolam ring closure was studied from the thermodynamic and kinetic points of view by means of quantum-chemical methods. B3LYP/6-311++G(d,p) model was employed for gas-phase and water environment (Polarizable Continuum Model) calculations. It was concluded that the reaction rate determining step is the first step - carbinolamine formation from amine and carbonyl ends of the opened benzodiazepine ring. The Gibbs free energy of activation was calculated as 35.1 kcal/mol for gas-phase and 33.9 kcal/mol for water environment. Thermodynamically, this reaction is endoergic with ΔG = 9.6 kcal/mol for gas-phase and 10.0 kcal/mol for water environment. However the next step – carbinolamine protonation with immediate water molecule loss is expected to be fast and activation barrierless, which enables further progress of the ring closure, despite the positive ΔG of the fist step. Next, the protonated imine undergoes deprotonation to final closed-ring, pharmacologically active molecule of midazolam. The whole chain of reaction is exoergic with ΔG equal to -5.6 kcal/mol for gas-phase and -7.7 kcal/mol for water environment. In order to understand the role of other than benzodiazepine/imidazole molecular fragments on the ring closure process, a model was build which contains only benzodiazepine and imidazole rings. The activation barrier for the carbinolamine formation of the model is similar to midazolam in the gas-phase but higher by about 10 kcal/mol for water environment. The most interesting difference is however that for the model, the carbinolamine formation step is exoergic with ΔG equal to -2.2 kcal/mol for gas-phase and -1.8 kcal/mol for water environment. This difference can be connected to complicated conformational shape of the midazolam molecule, which during the ring closure undergoes unfavourable deformations with accompanying rise of the energy of the molecule. The protonation sites for both midazolam and the model were also studied. In the case of midazolam the preferred protonation site is the imidazole ring nitrogen atom, but in the case of the model it is the benzodiazepine ring nitrogen atom. The aromaticity of the 5- and 7-membered rings were analysed using two aromaticity indices – HOMA and pEDA. It follows that larger stability of the cation protonated at the benzodiazepine ring is accompanied with substantial increase of the 7-ring aromaticity in the model of midazolam. The complexes of midazolam and its model with a water molecule were analysed because they are needed for evaluation of the energy of the whole process of ring closure. In the case of midazolam the water molecule preferentially connects to imidazole ring, but in the case of the model, complexes with both imidazole and benzodiazepine rings have similar stability.
Using Oligoagar to improve the survival rate of Neoporphyra haitanensis conchocelis infected by Vibrio mediterranei 117-T6
Authors: Mao Yangying , Ke Lei , Chen Haimin , Chen Juanjuan , Luo Qijun , Yang Rui 
Published: October 2022

Abstract
Neoporphyra haitanensis is a vital economic seaweed in China. As an infectious disease with a high incidence in the conchocelis sporeling culture of Porphyra, yellow spot disease (YSD) seriously affects the industrial development of seaweed cultivation. In the present study, we analyzed the protective effect of oligoagar (OA) on YSD caused by Vibrio mediterranei 117-T6 (Vm 117-T6). The experiment was conducted under the standard culture conditions of N. haitanensis conchocelis. The results showed that OA treatment (0.1‰ OA treatment for 1 h and performed twice with a 48 h interval) could significantly improve the survival rate of N. haitanensis conchocelis infected with Vm 117-T6 (P < 0.05). Meanwhile, OA treatment could stabilize the physiological and biochemical indexes, such as superoxide dismutase (SOD), phycobiliprotein and photosynthetic pigment content of Porphyra. Therefore, OA treatment had good application potential for preventing YSD caused by Vm 117-T6.