bluuebunny/crossref_metadata_2025_split huggingface dataset:
The comparison of the watertight and non-watertight dural closure in supratentorial craniotomy: a single-institute 10-year experience with 698 patients
Authors: Wang Jianbo , Li Peiliang , Liang Bo , Ding Xinghuan , Gao Haili , Feng Enshan 
Published: September 2022

Abstract
Objective: Many neurosurgeons regard the watertight dural closure to be critical in cranial base surgery, infratentorial craniotomy, and spinal intradural procedure. Whether watertight dural closure also reduce complications remains controversial in supratentorial craniotomy. This study seeks to determine whether a watertight dural closure is associated with fewer complications during supratentorial craniotomy for intracranial space occupying lesion removal.Methods: A retrospective analysis of patients who suffered from intracranial space occupying lesions at Beijing Ditan Hospital between January 2011 and December 2021 was conducted. A total of 698 cases were reviewed with attention to the operative approach, subgaleal ﬂuid collection, wound healing impairment, postoperative infection, and post-craniotomy headaches.Results: A total of 423 patients with and 275 without dural watertight closure were included in this study, treated with supratentorial craniotomies. Patients without WTDC had a significantly higher rate of infection (10.9% vs 4.5% with WTDC, p = 0.001). The WTDC group had a rate of 9.7% in subgaleal ﬂuid collection, while the non-WTDC group had a rate of 11.3%, although this difference was not significant (p = 0.502). They suffered from a greater incidence of post-craniotomy headaches in the WTDC group (13.5% vs.9.5% in the non-WTDC group), but without statistical significance (p=0.109). We also found no difference in wound healing impairment (p = 0.719).Conclusions: There is less postoperative infection associated with watertight dural closure during intracranial space occupying lesion removal than without watertight dural closure in supratentorial craniotomy.
Edge Computing Load Balancing Offload Lightweight Strategy Based on Improved Optimal Stopping Theory
Authors: Pang Shanchen , Wang Nuanlai , Yu Shihang , Ji Xiaofeng 
Published: September 2022

Abstract
With the rise of edge computing, users can get efficient and secure services at the edge of the network, but the storage capacity of edge nodes is limited. When users upload data to edge servers, it is easy to cause the storage load imbalance between edge servers. In this paper, we propose a lightweight edge computing storage load balancing strategy based on the improved optimal stopping theory. The optimal stopping theory is used to guide intelligent vehicles to select the optimal target edge nodes, in order to maintain the storage load balance between edge nodes. In this paper, the sinusoidal load balancing evaluation function (SLBEF) is proposed as the selection criterion. Due to the delay requirement of data unloading and the hidden problem of excessive traversal in the traditional optimal stop theory, this paper proposes a nonlinear decay function to improve the optimal stopping theory. Simulation results show that the proposed method can effectively reduce the variance between edge nodes and has good performance in reducing the number of iterations compared with the traditional optimal stopping theory.
The Impact of Sewage Effluents on Water Quality of Lake Hawasa, Ethipia
Authors: Tibebe Dessie , Tesfaye Yemane , Kassa Yezbie 
Published: September 2022

Abstract
The physicochemical characteristics of water samples from Lake Hawassa was determined with the aim of pointing out possible impacts of industrial effluents, agricultural chemicals and domestic sewage on the water quality of the lake. For this, a total of 15 physicochemical parameters were measured in 72 water samples collected from four different locations on the lake that are adjacent to areas involved in various human activities including agriculture (Tikur Wuha), resort hotel (Haile Resort), public recreation (Gudumale) and referral hospital (Hitita). Samples were collected over a period of six months covering the dry and wet seasons in 2018/19. One-way analysis of variance revealed the presence of significant difference in the physicochemical quality of the lake’s water across the four study areas and the two seasons. Principal component analysis identified the most discriminating characteristics that differentiate the studied areas according to the nature and level of pollution status. Tikur Wuha area was found to be characterized by high levels of EC and TDS, with values of these parameters were about twice or more than that measured in the other areas. This was ascribed to contamination of the lake by runoff water from the surrounding farmlands. On the other hand, the water around the other three areas was characterized by high nitrate, sulfate and phosphate. Hierarchical cluster analysis classified the sampling areas in to two groups, where Tikur Wuha constituted one group and the other three locations the second group. Linear discriminant analysis provided 100% correct classification of the samples into the two cluster groups. The measured values of turbidity, fluoride and nitrate were found to be significantly higher than the standard limits set by national and international guidelines. These results show that the lake has been facing with serious pollution problems from various anthropogenic activities.
Phylogeography and ecological niche modelling implicate multiple micro-refugia of Swertia tetraptera during Quaternary glaciations
Authors: Yang Lucun , Zhou Guoying 
Published: September 2022

AbstractBackground Climate fluctuations during the Pleistocene and mountain uplift are vital driving powers affecting the geographic distribution and population dynamics history of organisms. However, how did an annual plant react to Pleistocene glaciations was little to know. Methods In this study, we analyzed the population demographic history of the endemic QTP annual herb plantSwertia tetrapteraMaxim (Gentianaceae). Phylogeographic analysis with species distribution modeling were combined to detect the genetic variations inS.tetraptera. In total, 301 individuals from 35 populations ofS.tetrapterawere analyzed based on two maternally inherited chloroplast fragments (trnL-trnF andtrnS-trnG). Results The genetic diversity ofS.tetrapterawas high, which was caused by wide natural range, high proportion of endemic haplotypes and evolutionary history. Fifty-four haplotypes were identified inS.tetraptera. Only a few haplotypes were widespread (H4, H1, H3) which were dispersed throughout the present geographical range ofS.tetraptera, while a lot of haplotypes were confined to single populations. The cpDNA dataset showed that the phylogeographic structure was lack across the distribution range ofS.tetraptera. Meanwhile, analyses of molecular variance showed that most of genetic variation was found within populations (70.51%). In addition, the relationships of the haplotypes were almost completely not resolved by phylogenetic reconstruction. Both mismatch distribution analysis and neutrality tests showed a recent expansion across the distribution range ofS. tetraptera. The MAXENT analysis showedS.tetrapterahad a wider distribution range during the last glacial maximum and a narrower distribution range during the current, with predictions into the future showing the distribution range ofS.tetrapterashrinking. Conclusion Our study implies current geographic and genetic distribution ofS.tetrapterais likely to have been shaped by both QTP uplift and Quaternary periods. Multiple micro-refugia ofS.tetrapterawere existed during Quaternary glaciations. Rapid intraspecific diversification and hybridization and/or introgression may have played a vital role in shaping current distribution patterns ofS.tetraptera.The distribution range ofS.tetrapteraappeared to have experienced expansion during the LGM; in the future, when the global climate becomes warmer with rising carbon dioxide, the distribution ofS.tetrapterawill expansion and migration to higher altitude.
In silico identification of potential inhibitors of vital monkeypox virus proteins from FDA approved drugs
Authors: Sahoo Ajaya Kumar , Augusthian Priya Dharshini , Muralitharan Ishwarya , Vivek-Ananth R.P. , Kumar Kishan , Kumar Gaurav , Ranganathan Geetha , Samal Areejit 
Published: September 2022

Abstract
The World Health Organization (WHO) recently declared the monkeypox outbreak ‘A public health emergency of international concern’. The monkeypox virus belongs to the same Orthopoxvirus genus as smallpox. Although smallpox drugs are recommended for use against monkeypox, monkeypox-specific drugs are not yet available. Drug repurposing is a viable and efficient approach in the face of such an outbreak. Therefore, we present a computational drug repurposing study to identify the existing approved drugs which can be potential inhibitors of vital monkeypox virus proteins, thymidylate kinase and D9 decapping enzyme. The target protein structures of the monkeypox virus were modelled using the corresponding protein structures in the vaccinia virus. We identified four potential inhibitors namely, Tipranavir, Cefiderocol, Doxorubicin, and Dolutegravir as candidates for repurposing against monkeypox virus from a library of US FDA approved antiviral and antibiotic drugs using molecular docking and molecular dynamics simulations. The main goal of this in silico study is to identify potential inhibitors against monkeypox virus proteins that can be further experimentally validated for the discovery of novel therapeutic agents against monkeypox disease.
Hierarchical traffic light-aware routing via fuzzy reinforcement learning in software-defined vehicular networks
Authors: Naderi Mohammad , Mahdaee Khorshid , Rahmani Parisa 
Published: September 2022

Abstract
Lack of a fully vehicular topology view and restricted vehicles' movement to streets with the time-varying traffic light conditions have caused drastic gaps in the traditional vehicular routing protocols. A hierarchical traffic light-aware routing scheme called HIFS is proposed in this paper using fuzzy reinforcement learning and software-defined network (SDN) to fill these gaps. At the first level of our HIFS scheme, a utility-based intersections selection policy is presented using fuzzy logic that jointly considers delay estimation, curve distance, and predicted of moving vehicles towards intersections. Then, a fuzzy logic-based path selection policy is proposed to choose the paths with highest flexibility against the intermittent connectivity and increased traffic loads. Residual bandwidth, Euclidean distance, angular orientation, and congestion are considered inputs of the fuzzy logic system. Meanwhile, traffic light states and nodes' information are used to tune the output fuzzy membership functions via reinforcement learning algorithm. The efficiency of our scheme in controlling ambiguity and uncertainty of the vehicular environment is confirmed through simulations in various vehicle densities and different traffic lights duration. Simulation results show our HIFS scheme's superiority over the state-of-the-art methods in terms of delivery ratio, average delay, path length, and routing overhead.
Canal transportation and centering ratio after preparation of curved canals: A comparative evaluation of cone-beam computed tomography and micro-computed tomography
Authors: Soltaninejad Fatemeh , Shantiaee Yazdan , Mortezapour Niloofar , Zargar Nazanin , Zandi Babak , Shojaeian Shiva , Taramsari Ali Rahbar 
Published: September 2022

AbstractObjectives:This study aimed to compare cone-beam computed tomography (CBCT) and micro-computed tomography (micro-CT) for evaluation of canal transportation and centering ratio after instrumentation of curved canals.Materials and Methods:A total of 20 mesiobuccal canals of mandibular molars were prepared by sequential rotary system. All specimens underwent CBCT and micro-CT before and after instrumentation and the magnitude of transportation and centering ratio were measured. The accuracy and the agreement between the two modalities were calculated considering the acceptable transportation of ≤ 0.15 mm. The agreement between the modalities was also assessed by calculating the intraclass correlation coefficient (ICC).Results:Transportation was detected by both modalities at all distances from the apex after instrumentation. Agreement between the two modalities in assessment of canal transportation was observed in 16 specimens at 1 mm, 17 specimens at 3 mm, and 15 specimens at 5 and 7 mm from the apex, out of 20 specimens, yielding 80%, 85%, 75% and 75% accuracy, respectively. ICC for transportation and centering ratio was much lower than 0.75 indicating poor agreement between the modalities.Conclusions:CBCT and micro-CT do not have a good agreement in assessing transportation and centering ratio. Micro-CT is still recommended for evaluating transportation in vitro, due to higher resolution and better visualization of details.Clinical relevance:CBCT is recommended for assessment of canal transportation in the clinical setting; however, it cannot replace micro-CT for in vitro studies, and micro-CT remains the modality of choice for in vitro assessments.
Geometrical and microstructural size effects in meso-/micro-scaled progressive forming by directly using metal wires
Authors: Wang YUBAO , Zheng Zebang , Zeng Feng , Fu M. W. 
Published: September 2022

Abstract
A progressive meso-/micro-forming process directly using continuous wire metals is firstly developed in this work and applied for efficiently making fork-shaped parts with irregular features, e.g., flat tines and cylindrical head. Meanwhile, both geometrical and microstructural size effects on the forming quality of fabricated parts are investigated. Therein, the brass CuZn35 wires with three diameters (0.4, 0.8 and 1.2 mm) and various grain sizes (30.9-159.2 µm) are prepared and employed as the experimental materials. The material flow behavior in this progressive meso-/micro-forming process is investigated by finite element simulations and the micro-scaled specimens are found to exhibit more uniform strain distributions. As for the dimensional accuracy, the absolute errors of the thickness and width of the final parts increase with grain size, while the errors of height and inner width are only related to the precision of the punch. The increasing surface roughness after the progressive meso-/micro-forming process decreases with enlarging specimens and refining grains. Cracks easier appear on the side surface of micro-scaled specimens and specimens with the larger grain size.
Hetero-polar Sextuple Bond: A Relativistic Quantum Chemical Study
Authors: Kalita Amlan , Bania Kusum , Guha Ankur 
Published: September 2022

Abstract
Studies revealed that number of bonds between two atoms is not restricted to sharing of one electron pair, it can go beyond four and six is the maximum. While sextuple bond is found in homonuclear diatomic molecule such as Mo and W, but the report on six-fold bonding interaction in heteronuclear diatomic system is unknown in the literature. In the search of the sextuple bond in polar system, the present study depicts the existence of such multiple bonds in Rhodium-Scandium hetero-diatoms based on relativistic quantum chemical calculations. The bonding comprises of three normal electron sharing covalent bonds and three dative covalent bonds.
Bioinformatics analysis of key biomarkers for cryptorchidism and potential risk of carcinogenesis
Authors: Xie Xiaodu , Liang Peihe , Liu Lumiao , Zheng Xiuhui 
Published: September 2022

Abstract
Background
Cryptorchidism is characterized by undescended or incomplete descent of the testes. The pathogenesis of cryptorchidism has not been fully elucidated. In addition, patients with cryptorchidism are at a higher risk of malignancy than normal individuals, and its etiology and underlying molecular mechanisms need to be further investigated.
Methods
Datasets GSE16191 and GSE25518 were downloaded from the Gene Expression Omnibus database to identify the common differentially expressed genes (DEGs). Gene enrichment analyses were performed using the WebGestalt database. A protein-protein interaction network of DEGs was constructed using the STRING database, of which hub genes were identified by Cytoscape software. The GEPIA database was used to validate the expression of the hub genes of cryptorchidism in testicular cancer, and then the protein level of genes was detected in the HPA database. The analysis of immune cell infiltration was conducted in the R package. The clinical significance of the selected genes was analyzed from four aspects: clinical correlation, overall survival (OS), recurrence-free survival (RFS), and receiver operating characteristic (ROC) curve.
Results
Of the 438 common DEGs identified, 134 were up-regulated and 304 were down-regulated. Biological functions analysis identified important signaling pathways, key functional modules, and co-expression networks in cryptorchidism. Nine hub genes (HNRNPM, SF1, U2SURP, SNRPA1, AQR, RBM39, PCBP2, RBM5, and HNRNPU) were identified in cryptorchidism, four (SF1, HNRNPM, RBM5, and AQR) of which were significantly expressed in testicular cancer. The high expression of the genes SF1 and HNRNPM predicted poor RFS in cancer patients. Moreover, genes AQR and HNRNPM may contribute to malignant transformation from cryptorchidism to cancer via the spliceosome pathway.
Conclusion
Our study revealed the potential molecular mechanisms under the pathogenesis of cryptorchidism and its carcinogenesis. The biomarkers identified in this study may provide a theoretical basis and new ideas for further mechanism research of cryptorchidism.
Action research as a tool for collecting private information from Spanish wineries for further architectural bioclimatic analysis: lessons from behind the scenes
Authors: Arredondo-Ruiz Fernando , Guerrero Ignacio Cañas , Gómez-Villarino Maria Teresa 
Published: September 2022

Abstract
Geographically diagnosing the usage of sustainable bioclimatic architectural practices in wineries is most of the time complicated. This difficulty stems from the unavailability in the scientific literature of private documents, such as the actual architectural plans of constructed wineries. This article reflects on the action research process that supported and explored the learning process during a large scale data gathering effort involving, a research team, and a universe of more than 4800 wineries in the Spanish Geography. The whole process was part of a larger project whose acronym is Cowinergy, funded by the Spanish Ministry of Economy and Competitivity. Results highlight the importance of process facilitation in a value chain of learning (within a social system), in order to create an environment in which the people in charge of the wineries felt at ease when collaborating with the research team. The facilitators designed the process to be iterative so the learning activities where consistently aligned with the needs of the overall project, thus ensuring practical relevance.
Green Synthesis of SiO 2 NPs Promote Vigna radiata L Germination, Membrane Damage, Antioxidant enzymes and Physiological activities
Authors: Zaheer Saira , Mustafa Ghazala , Shehzad Junaid , Tariq Tuba , Chaudhari Sunbal Khalil , Hasan Murtaza 
Published: September 2022

Abstract
In agriculture sector demand for nanotechnology-based products in current years, have led to the increasing use of nanoparticles (NPs). Biologically prepared NPs have gained a lot of attraction due to ecofriendly, less expensive and biocompatible process, therefore, Current work was design to investigate the green synthesized SiO2 NPs on Vigna radiata L. physiological and biochemical analysis. Six days old plants (two leaf stage) exposed to SiO2 NPs at 2, 20, 200 and 2000 ppm. Significantly increased in plant length and weight at on all concentrations at different intervals except 20 ppm of SiO2 NPs reduced plant length and weight. However, the antioxidant enzymes at 20 ppm treated plant showed several effects. The production of ascorbate peroxidase and catalase increased as compared to control. Peroxidase level was initially increased but then reduced later, superoxide dismutase also reduced as compared to control. FT-IR at 20 ppm treated plant exhibited the increase in protein, decrease in phenolics and Bromo also increase which means alkaloid will produce to overcome the stress. Evans blue staining and membrane damage quantification also indicated the cell death at 20 ppm as compared to control at all time intervals. These results suggest that SiO2 NPs exhibit positive effects at higher concentrations and slightly reduce the growth at (20 ppm) mild concentrations. Si uptake and antioxidant enzymes also decrease at 20 ppm, Evans blue staining and quantification indicated about the slight damage.
3D printed Fabry-Pérot filters for terahertz spectral range
Authors: Revuri Praveen Kumar , Walus Konrad , Wallace Vincent P. , Silva K. K. M. B. Dilusha , Keating Adrian , Faraone Lorenzo , Martyniuk Mariusz 
Published: September 2022

Abstract
3D printing is evolving into a standard tool for prototyping various optical components suitable for application in the terahertz range of the electromagnetic spectrum. This work takes the next step in this evolution by demonstrating the fabrication and subsequent evaluation of Fabry-Pérot Interferometers (FPIs). Large optical area (centimetre-scale) Fabry-Pérot transmission filters have been 3D printed with polylactic acid (PLA) using a commonly-used low-cost 3D printer. The advantages of the proposed approach include low cost, rapid prototyping, and repeatability. Terahertz transmission measurements for two demonstrated filter designs realised to target optimisation of either signal transmission or spectral filter performance have been performed using terahertz time-domain spectroscopy (THz-TDS) and demonstrate good agreement with the simulated response in the operating spectral band of 0.30 THz – 0.75 THz (wavelengths from 1,000 µm down to 400 µm). The critical spectral characteristics assessed were the filter peak transmission magnitude, central wavelength and full width at half-maximum (FWHM) of the transmission peak, as well as the free spectral range (FSR). The signal transmission levels were observed to reach beyond 90% for the first series of filters that targeted optimisation of this aspect; however, this was accompanied by diminished out-of-band rejection and broader transmission peaks in comparison to the second series of filters which targeted the overall performance. For the latter filter series, the resolution in terms of FWHM values of the transmission peaks was reduced to 40-50 GHz, with the out-of-band rejection approaching a ratio of 10:1. This level of spectral performance, along with the achieved signal peak transmission characteristics of 65-75%, provides adequate performance for many applications harnessing the terahertz spectral range.
Scalp Blocks Do Not Affect the Accuracy of Neuronavigation Facial Recognition Registration
Authors: Burbridge Mark A , Shields Glenn , Dacanay Ezikiel , Jaffe Richard A 
Published: September 2022

Abstract
Purpose: Scalp block is a regional anesthesia technique to reduce the sympathetic response to skull pin application and postoperative pain in patients undergoing craniotomy. These blocks are often performed prior to surgical incision, however, the effect that these blocks have on neuronavigation facial tracing recognition accuracy is unclear because they may distort facial anatomy. Methods: A series of 25 patients undergoing supratentorial craniotomy were administered scalp blocks prior to surgical incision, and their effect on neuronavigation accuracy was assessed. Statistical analysis utilized a two-tailed matched t-test. Results: Bilateral supraorbital and auriculotemporal scalp blocks did not significantly affect the accuracy of facial recognition registration. Conclusion: Scalp block does not interfere with neuronavigation facial recognition accuracy during neurosurgical procedures.