bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Mass Transit Equilibrium Problem with Bottleneck Congestion and Capacity Constraints
Authors: Shang Huayan , Tian Guangbin , Chu Hongrui , Tang Tieqiao , Xing Xin 
Published: January 2023

Abstract
Seat capacity setting greatly affects vehicle capacity. Increasing the number of seats allows more passengers to benefit from comfortable travel conditions but reduces the available space for standing passengers and the total capacity of the vehicle. By reducing the number of seats, the operator increases the capacity of the vehicle but most passengers do not find an available seat. Without changing the size of the bus, the operator chooses the desirable seat capacity when purchasing the bus, which can maximize vehicle capacity and allow passengers to have more opportunities to get a seat. Considering capacity constraints, this paper establishes multiple origins and a single destination equilibrium model to study the travel behaviors during peak-period. A bi-level programming model is considered to meet the equilibrium cost. The result shows that we succeed in finding an optimal seat capacity to make the total travel cost be lowest.
Exudates Detection Using Fusion of Histogram-Based Fuzzy C-Means Clustering Based on a New Weight Assignment Scheme
Authors: wisaeng kittipol 
Published: January 2023

Abstract
Diabetic Retinopathy (DR) is one of the earliest signs of a complication of diabetes mellitus and is also a leading cause of visual blindness globally. Recent studies have proposed that exudates (EXs) are the hallmark of DR severity. The present study aims to accurately and automatically detect EXs related features that are difficult to detect in fundus photography in early stages. The proposed method utilizes a Fusion of Histogram-Based Fuzzy C-Means clustering (FHBFCM) based on a New Weight Assignment Scheme (NWAS), and a set of four selected features from stages of pre-processing in order to evolve the detection method. Through the coarse segmentation stage, the optimal parameter of FHBFCM is trained by the features of DR for detection of EXs diseases through a stepwise enhancement process. The histogram-based is used to find the color intensity in each of the pixels and performed to accomplish RGB color information. This RGB color information is used as the initial cluster centers for creating the appropriate region and generating the homogeneous regions by FCM method. Afterwards, the best expression of NWAS is then used for fine segmentation stage. The experimental results show that the proposed method achieves accuracy values of 96.12%, 97.20%, 93.22% for EXs segmentation on DiaretDB0, DiaretDB1, and STARE fundus image datasets respectively. In conclusion, this study provides a new method for early detection of EXs related features with a competitive accuracy and its ability to outperforms the other stateof-the-art by optimizing the detection quality, and possibly reducing the false positive segmentation in a significant way.
Real Time Broadcast Scheduling in Tsch for Smart Healthcare Using Cuckoo Search Algorithm
Authors: kotteswaran Pavithra , D rekha 
Published: January 2023

Abstract
Smart Healthcare Sensor Network (SHSN) has caught the attention of scientists and researchers. SHSN has a low bandwidth which causes low successful packet transmission. To transmit and receive the data without any collision and for efficient broadcast scheduling Time Slotted Channel Hopping (TSCH) can be used. The broadcast scheduling problem needs to be addressed in SHSN as the bandwidth is limited. This is done by collaterally transmitting the node data in the same time slot such that it does not cause interference with each other. This further minimizes the network turnaround time by enhancing the time slot in the TSCH frame. The proposed work focuses to achieve maximum throughput, turnaround time of nodes by using Genetic Algorithm (GA), Immune Genetic Algorithm (IGA), and Cuckoo Search Algorithm (CSA). The point is to limit the TSCH cycle period and augment the hub communication with diminished calculation time. In examination to GA and IGA, CSA effectively points to improving the arrangements and is unequivocally worried about abusing all accessible information about the issue. The reproduction results on various issue examples affirm that CSA altogether beats a few heuristic and transformative calculations by tackling notable benchmark issues in terms of arrangement quality, which likewise exhibits the viability of CSA in proficient utilization of channel transfer speed.
Witnessing workplace bullying – Protocol for a systematic review and meta-analysis of individual health and well-being outcomes
Authors: Nielsen Morten Birkeland , Rosander Michael , Einarsen Ståle Valvatne 
Published: January 2023

Abstract
Background: Most research on workplace bullying has examined the impact of the mistreatment on those exposed. Although bullying also is assumed to have significant ripple effects on bystanders, the empirical evidence for this line of research is highly fragmented and inconclusive. The aims of this planned systematic review and meta-analysis are therefore to determine 1) which outcomes that have been examined in research on bystanders, 2) the empirical findings regarding these outcomes, 3) which theoretical models that have been used to explain the impact of bystanding on outcomes, 4) the methodological designs that have been used in research on bystanders, and 5) which confounders, mediators, and moderators that have been accounted for in research.
Methods: A systematic review and meta-analysis will be conducted. Electronic databases will be searched using predefined search terms to identify relevant studies. Eligible studies should report empirical findings on any individual outcome variable assessed among witnesses to workplace harassment and bullying, or any overlapping concept. Primary observational studies with cross-sectional or prospective research design, case-control studies, and studies with experimental designs will be included. Qualitative interviews and case studies will be excluded. The methodological quality of the included studies will be assessed with a previously established checklist for studies on workplace bullying. The quality of evidence for an association between witnessing bullying and potential outcomes will be evaluated in accordance with the GRADE system. A random effects meta-analysis will be conducted with the Comprehensive Meta-Analysis software, version 3.
Discussion: We expect that findings on outcomes of bystanding to workplace bullying will provide practitioners with an understanding of the effects workplace bullying may have also on non-targets, and the workplace as a whole. Such information is important regarding the development and implementation of effective measures and interventions against bullying. In addition, the review will increase our understanding of existing research gaps and enable us to make recommendations to address them. Our work aligns with the sustainable development agenda to protect workers and reduce inequalities at the workplace.
Systematic review registration: The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO; registration number: 342006).
Location algorithm for Wireless Sensor Networks based on Virtual Vertical Line and optimized Particle Swarm Optimization
Authors: Yu Xiuwu , Hu Yanyan , Liu Yong , Pan Yang 
Published: January 2023

Abstract
In view of the low positioning accuracy of the basic RSSI-based centroid positioning algorithm and considering the environmental morphology characteristics of underground roadway, a WSN positioning algorithm for underground roadway combining virtual midline and optimized particle swarm is proposed. Firstly, the location area is determined by the virtual midline location algorithm, and the distance between the reference node and the target node is obtained by RSSI ranging model. Then, when solving the optimal solution, the particle swarm optimization algorithm with linear inertia weight is used to search the above location area, and the fitness function is constructed to judge the advantages and disadvantages of the particle location. The coordinate of the target node required is the coordinate of the corresponding minimum fitness value obtained. Simulation results show that compared with APIT, LAPB and PB-APIT, the proposed algorithm has faster convergence speed and higher positioning accuracy.
Anti-Spoofing by Smart Acquisition in Cold-Start with Multiple Hypothesis using Wavelet Transform in a Software GPS Receiver
Authors: Moazedi M. , Mosavi Mohammad Reza 
Published: January 2023

Abstract
Spoofing subject is becoming ever increasingly more severe. In addition to the flow of technology, the availability of software-defined radio platforms has increased. Usually, detecting the spoofing is performed by introducing the features that are difficult for the deceiver to counterfeit. Spoofing and countering can be performed in different parts of a GPS receiver. In recent years, less attention has been paid to defense at cold-start. This research presents that the spoofing attack can be diminished during the initial start-up process with very short effective time. This low-cost method introduces a new decision rule based on a multiple statistical hypothesis test to identify fake peaks in correlation output of acquisition and extract the authentic peaks utilizing the wavelet transform or peak removal process. Main distinction of this method with previous works is investigating different amplitude ratios of spoofing signal to authentic. Simulation results on 10 data sets show that the probability of correctly detection and mitigation is more than 90%.
Dual Band Microstrip Patch Antenna with Defected Ground Structure for WiMAX and 5G Applications
Authors: Dharmpatre Sujit , Sutaone Mukul , Jadhav Makarand , Bansode Pranoti 
Published: January 2023

Abstract
In this paper a Dual Band Microstrip Patch Antenna with U-shaped Defected Ground Structure at 5.9 GHz and 27 GHz is designed and analyzed to cater wireless applications. The wideband behavior of the antenna is achieved by inserting U-shape DGS structure in the ground plane. The parameters such as gain, reflection coefficient (S11), Voltage Standing Wave Ratio (VSWR), radiation pattern, and percentage bandwidth is evaluated to measure antenna performance. Here two frequencies are considered for wireless applications. One is at 5.9 GHz for Wi-Fi as well as Wi-Max applications. The second is at 24.4 GHz and 27 GHz for 5G network applications. The High-Frequency Structure Simulator tool is used to simulate the proposed antenna. Here, RT 5880 Duroid material of thickness 1.6 mm with a relative dielectric constant of 2.2 and substrate size of 36 mm x 40 mm with line feeding technique is considered for experimentation. From the simulation results, it is observed that the antenna achieves a bandwidth of 170 MHz with a gain of 14 dB, S11 of -15.52 dB, and VSWR of 1.4 at a resonant frequency of 5.9 GHz. Further, the bandwidth of 840 MHz with a gain of 15.75 dB, S11 of -18.37 dB, and VSWR of 1.35 is achieved at the resonant frequency of 24.4 GHz. Whereas, wide bandwidth with a gain of 3.28 dB, S11 of -14.79 dB, and VSWR of 1.45 at a resonant frequency of 27 GHz is achieved. The antenna can operate for 5.9 GHz, 24.4 GHz, and 27 GHz covering Wi-MAX and Mobile 5G applications. This work significantly improves the MSPA performance parameters as compared to existing techniques. Future scope lies in improving the impedance matching and reducing the surface currents.
Air quality and health implications of electrifying heavy-duty vehicles
assessed at equity-relevant neighborhood-scales.
Authors: Camilleri Sara , Montgomery Anastasia , Visa Maxime , Schnell Jordan , Adelman Zac , Janssen Mark , Grubert Emily , Anenberg Susan , Horton Daniel 
Published: January 2023

Abstract
Heavy-duty vehicles (HDVs) disproportionately contribute to the creation of air pollutants and emission of greenhouse gases – with marginalized populations unequally burdened by the impacts of each. Shifting to non-emitting technologies, like electric HDVs (eHDVs) is underway, however, the associated air quality and health implications have not been resolved at equity-relevant scales. Here, we use a neighborhood-scale (~1km) air quality model to evaluate air pollution, public health, and equity implications of a 30% transition of predominantly diesel HDVs to eHDVs over the region surrounding North America’s largest freight hub, Chicago, Illinois. We find decreases in NO2 and PM2.5 but O3 increases, particularly in urban settings. NO2 and PM2.5 decreases reduce premature deaths/yr by ~580 and ~70, respectively, while O3 increases add ~50 deaths/yr. We find the largest pollutant and health benefits in “least White” communities, highlighting the potential for eHDVs to reduce air pollution and health burdens, especially in marginalized communities.
Research on the effectiveness of virtual simulation in Interprofessional collaboration:A meta-analysis
Authors: Zhang Xiaoyu , Jiang Ying , Tang Yuxin 
Published: January 2023

Abstract
With the development of science and technology and the improvement of education level, the importance of virtual simulation teaching has been paid more and more attention. Virtual simulation makes up for the shortcomings of traditional practical teaching and provides strong support for interprofessional practical teaching. To explore the effectiveness of virtual simulation in interprofessional collaboration, a meta-analysis was performed. The Review Manager5.4 Software was used to perform the traditional meta-analysis. A systematic search of databases was conducted and a total of 14 studies were included in the meta-analysis. The conclusions are as follows: (1) Virtual simulation can significantly promote interprofessional collaboration. The overall effect value (Hedges's g) is 1.26, (95% CI: 0.54–1.26, p < 0.001). (2) Both the number of professions and the intervention duration affect the effect of interprofessional collaboration. This study provides insight into the efficacy of virtual simulation as a pedagogy and contributes to our understanding of the educational value of service learning for virtual simulation.
Outcome of initial lenvatinib treatment in patients with unresectable anaplastic thyroid cancer
Authors: IWASAKI HIROYUKI , TODA SOJI , TAKAHASHI AKARI , MASUDO KATSUHIKO 
Published: January 2023

Abstract
Background: Anaplastic thyroid cancer (ATC) is a very rare disease with a remarkably poor prognosis and with no established effective drug therapy. This study aimed to report the outcomes of lenvatinib single-agent therapy as an initial drug treatment in ATC and investigate its safety and efficacy.
Methods: This retrospective cohort study included 56 patients with ATC with unresectable primary tumors of whom 36 were treated with lenvatinib and 12 with weekly paclitaxel (PTX), and 8 patients who refused any drug treatment received palliative care.
Results: The average survival in the lenvatinib group is 5.8 months, which is significantly longer than 2.0 months in the PTX group (P = 0.005). The efficacy of lenvatinib in 36 patients with ATC, whose primary tumors were unresectable, was evaluated. The response rate was 33%, and the median overall survival was 5.0 months. A safety review indicated that lenvatinib should be used under the careful observation of local findings. Two patients, who showed a reduction with lenvatinib, underwent conversion surgery, which prolonged the prognosis in terms of avoiding events, such as asphyxia, fistula, and hemorrhage due to tumor growth; however, the surgical margins were positive, indicating that complete remission was impossible even if surgical resection was performed.
Conclusions: Therefore, starting with lenvatinib treatment and finding a therapeutic drug based on the genomic analysis is an acceptable treatment strategy for ATC while halting the disease progression.
Stereoselective Construction of β-, γ-, and δ-Lactam Rings via Enzymatic C–H Amidation
Authors: Fasan Rudi , Roy Satyajit , Vargas David , Ma Pengchen , Sengupta Arkajyoti , Houk Kendall 
Published: January 2023

Abstract
Lactam rings are found in many biologically active natural products and pharmaceuticals, including important classes of antibiotics. Given their widespread presence in bioactive molecules, methods for the asymmetric synthesis of these molecules, in particular through the selective functionalization of ubiquitous yet unreactive aliphatic C–H bonds, are highly desirable. In this study, we report the development of a novel strategy for the asymmetric synthesis of 4-, 5-, and 6-membered lactams via an unprecedented hemoprotein-catalyzed intramolecular C-H amidation reaction with readily available dioxazolone reagents. Engineered myoglobin variants serve as excellent biocatalysts for this transformation producing an array of β-, γ-, and δ-lactam molecules in high yields, with high enantioselectivity, and on preparative scale. Mechanistic and computational studies elucidate the nature of the C–H amination and enantiodetermining steps in these reactions and provide insights into protein-mediated control of regioselectivity and stereoselectivity. Using this system, it was possible to accomplish the chemoenzymatic total synthesis of an alkaloid natural product and a drug molecule in much fewer steps (7-8 vs. 11-12) than previously possible, which showcases the power of this biosynthetic strategy toward enabling the preparation of complex bioactive molecules.
Patients with metastatic renal cell carcinoma who receive immune-targeted therapy may derive survival benefit from nephrectomy
Authors: Dong Hanzhi , Cao Yuan , Jian Yan , Lei Jun , Zhou Weimin , Yu Xiaoling , Zhang Xiquan , Sun Zhe , Peng Zhiqiang 
Published: January 2023

Abstract
Background
Nephrectomy, whether in the era of cytokine therapy or targeted therapy, has an important role in the treatment of metastatic renal cell carcinoma. With the advent of immunotherapy, immunotherapy combined with targeted therapy has become the mainstream of systemic therapy, but the role of nephrectomy in metastatic renal cell carcinoma is unclear. In this study, we retrospectively analyzed the impact of nephrectomy on survival in patients with metastatic renal cell carcinoma who received immune therapy in combination with targeted therapy.
Methods
Patients with metastatic renal cell carcinoma who received immune-targeted therapy at three centers between May 17, 2019 and August 1, 2022 were collected, who were divided into two groups based on whether nephrectomy was performed or not. Survival, response rate and adverse event were compared between the two groups. The primary end point was progression free survival, Subgroup analysis and univariate and multivariable prognostic analyses were also assessed.
Results
With a median follow-up time of 29.3 months (95% CI 28.5–30.2), 165 patients were recruited and divided into two groups based on whether they underwent nephrectomy or not. There were 68 patients in the non-nephrectomy group, 97 in the nephrectomy group. Compared to patients treated with immune-targeted therapy, patients treated with immune-targeted therapy plus nephrectomy were able to achieve survival benefits, with a median PFS of 10.8 months (95% CI 8.3–13.3) and 14.4 months (95% CI 12.6–16.2), respectively, as well as an HR of 0.476 (95% CI 0.323–0.701, p = 0.0002). The 12-month and 18-month PFS rates were 30.9% versus 60.8% and 7.4% versus 25.8%, respectively. The objective response rate (ORR) was 52.9% and 60.8%, respectively, in the non-nephrectomy and nephrectomy groups (p = 0.313), and the disease control rate (DCR) was 75% and 83.5%, respectively (p = 0.179). The most common adverse events related to treatment were hypothyroidism, immune-related pneumonitis and rash. Multivariate analysis showed that primary tumor nephrectomy prior to immune-targeted therapy, clear cell renal carcinoma and oligo metastasis were independent prognostic factors.
Conclusions
Nephrectomy may provide PFS benefit with tolerable safety for patients with metastatic renal cell carcinoma who receive immune-targeted therapy. In multivariate analysis, nephrectomy, clear cell carcinoma, and oligo-organ metastasis were found to be favorable independent prognostic factors.
Reciprocal inhibition of PIN1 and APC/CCDH1 controls timely G1/S transition and creates therapeutic vulnerability
Authors: Ke Shizhong , Dang Fabin , Wang Lin , Chen Jia-Yun , Naik Mandar , Thavamani Abhishek , Liu Yansheng , Li Wenxue , Kim Nami , Naik Nandita , Sui Huaxiu , Tang Wei , Qiu Chenxi , Koikawa Kazuhiro , Wang Xiaodong , Batalini Felipe , Clohessy John , Heng Yujing J , Lahav Galit , Gray Nathanael , Zhou Xiao Zhen , Wei  , Wulf Gerburg , Lu Kun Ping 
Published: January 2023

Abstract
Cyclin-dependent kinases (CDKs) mediated phosphorylation inactivates the anaphase-promoting complex (APC/CCDH1), an E3 ubiquitin ligase that contains the co-activator CDH1, to promote G1/S transition. PIN1 is a phosphorylation-directed proline isomerase and a master cancer signaling regulator. However, little are known about APC/CCDH1 regulation after phosphorylation and about PIN1 ubiquitin ligases. Here we uncover a domain-oriented reciprocal inhibition that controls the timely G1/S transition: The non-phosphorylated APC/CCDH1 E3 ligase targets PIN1 for degradation in G1 phase, restraining G1/S transition; APC/CCDH1 itself, after phosphorylation by CDKs, is inactivated by PIN1-catalyzed isomerization, promoting G1/S transition. In cancer, PIN1 overexpression and APC/CCDH1 inactivation reinforce each other to promote uncontrolled proliferation and tumorigenesis. Importantly, combined PIN1- and CDK4/6-inhibition reactivates APC/CCDH1 resulting in PIN1 degradation and an insurmountable G1 arrest that translates into synergistic anti-tumor activity against triple-negative breast cancer in vivo. Reciprocal inhibition of PIN1 and APC/CCDH1 is a novel mechanism to control timely G1/S transition that can be harnessed for synergistic anti-cancer therapy.
Bone marrow-derived extracellular vesicles carry the TGF-β signal transducer Smad2 to preserve hematopoietic stem cells in mice
Authors: Quere Ronan , Gautheron Flavie , Georgievski Aleksandra , Garrido Carmen 
Published: January 2023

Abstract

Extracellular vesicles (EVs) released by cells in the BM are important to regulate proliferation, differentiation and other properties of hematopoietic stem cell (HSC). While the TGF-β signaling is now well known since a long time to be involved in HSC’s quiescence and maintenance, the TGF-β pathway related to EVs is still largely unknown in the hematopoietic system. We discovered that EVs inhibitor Calpeptin, intravenously injected in mice, particularly affected thein vivoproduction of EVs, carrying phosphorylated Smad2 (p-Smad2) in mouse BM. This was accompanied with an alteration in the quiescence and maintenance of murine HSCin vivo. Murine stromal MS-5 cells also expressed p-Smad2 as a cargo. To prove that the signal transducer p-Smad2 was required for HSC maintenance, we treated murine mesenchymal stromal cells (MSC) with the TGF-β inhibitor SB431542, in order to produce EVs without the expression of p-Smad2 and discovered that this mediator was required for maintenance of HSCex vivo. In conclusion, we discovered a new mechanism, which involved EVs, produced in the mouse BM that, as a cargo, transport bioactive phosphorylated Smad2 to enhance the TGF-β signaling-mediated quiescence and maintenance of HSC.