bluuebunny/crossref_metadata_2025 huggingface dataset:
018 A retrospective analysis of shunts for idiopathic intracranial hypertension: a 10-year experience at St. George’s University Hospital
Authors: Ambawatte Sathyajith Buddhika , Nitkunan Arani
Published: August 2022

Visual deterioration in Idiopathic Intracranial Hypertension (IIH) warrants surgical intervention. All patients with IIH admitted to St. George’s, London for 10-years from 2010 were identified and those with shunts were analyzed retrospectively. Of 1234 IIH patients, 27 had shunts, 12/27 were aged 19-30 and 24 were females. The most common indication for a shunt was quantifiable visual impairment (52%). Majority had lumboperitoneal shunts (67%). The average length of stay was 16 days (2SD+/-8 days). In the first 3 years, neurologists were not involved in the care of 11/27 patients but all since. The number of shunts per year peaked at 6 in 2013 and is now 1-2. At first follow-up, vision and headache improved in 84% and 85% of patients, respectively. 40% had recurrence of symptoms despite a functioning shunt due to coexisting migraine (36%), functional neurological disorder (9%) or both (18%). The most common complication was shunt obstruction (single-revision; 30%; multiple-revisions; 19%), followed by low-pressure symptoms (26%), requiring readmissions in 81% of patients. Shunting is not without risks but is currently indicated in those with deteriorating visual function; hence, the decision to proceed with shunting in IIH should be made with vigilance in accordance with the 2018 consensus guidelines.
033 Extracranial-tumor cerebri
Authors: Heller Simon , Obholzer Rupert , Wong Sui
Published: August 2022

Pseudotumor Cerebri Syndrome (PTCS) is the condition of raised intracranial pressure without a focal intracranial lesion. We present a patient with PTCS caused by an extracranial paraganglioma obstruct- ing his right internal jugular vein. This affected his intracranial venous drainage from his dominant right sided venous drainage; his left transverse and sigmoid sinus were hypoplastic. He experienced sympto- matic relief from acetazolamide, a temporising lumbar puncture and significant improvement following debulking surgery of the paraganglioma.

CSF dynamics is more than the classical model of production in the choroid plexus and drainage through the arachnoid granulations. Increasingly we understand the role of nasal lymphatics via the cribriform plate and dural lymphatics via the glymphatic system. However, drainage via the arachnoid granulations and dural venous sinuses is still crucial.

Papilloedema has a complex aetiology. Axonal transport stasis and pial-septal blood supply disruption secondary to raised ICP only tell part of the story. There is not free flow between the intracranial CSF and subarachnoid space of the optic nerve; raised ICP likely leads to compartmentalisation of the CSF around the optic nerve. Subsequent aggregation of a toxic milieu may contribute to optic disc oedema.

Timely management of intracranial pressure is critical to preserve visual function.
Evaluation of MDS-PSP diagnostic criteria in a combined behavioural neurology and atypical parkinsonism service
Authors: Leahy Christopher , Jones Matthew , Thompson Jennifer , Kobylecki Christopher
Published: August 2022

Background

Recent diagnostic criteria for progressive supranuclear palsy (PSP) by the Movement Disorder Society (MDS) operationalise recently recognised subtypes, beyond the ‘classical’ Richardson phenotype (PSP-RS): predominant parkinsonism (PSP-P), predominant gait freezing (PSP-PGF), and frontal-cognitive- behavioural presentations (PSP-F).

Aims

To evaluate the proportion of patients fulfilling MDS compared with previous NINDS-SPSP criteria; to establish the number of patients fulfilling operationalised subtypes criteria; and to explore the evolution of PSP subtypes.

Methods

A retrospective case note review study of 201 patients clinically diagnosed with PSP in a combined behavioural neurology and movement disorders service over a 10-year period.

Results

Of 201 patients at first presentation, 187 met MDS-PSP criteria (157 probable, 8 possible, 22 sug- gestive) compared with 152 for NINDS-SPSP criteria. The number of probable PSP patients fulfilling opera- tionalised subtype criteria were: 125 PSP-RS, 111 PSP-P, 5 PSP-PGF, and 37 PSP-F. Notably, 100 patients met criteria for more than one subtype.

Conclusion

MDS criteria allowed earlier PSP diagnosis than NINDS-SPSP criteria and captured a range of phenotypic subtypes. Further analysis will address the issue of determining subtype predominance and will explore the natural history of PSP phenotypes, with particular reference to frontal-cognitive- behavioural presentations.
053 Brainshuttle AD: Investigating safety, tolerability, and PK/PD of RG6102 in prodromal/mild-to-moderate AD
Authors: Kulic Luka , Vogt Annamarie , Alcaraz Fabien , Barrington Philip , Marchesi Maddalena , Klein Gregory , Croney Ruth , Agnew David , Abrantes João A , Svoboda Hanno
Published: August 2022

RG6102 is a bispecific 2+1 monoclonal antibody (mAb) under development for the treatment of Alz- heimer’s disease (AD). It combines the anti-amyloid beta antibody gantenerumab with a transferrin receptor 1-binding “Brain Shuttle” module, enabling active receptor-mediated transport across the blood–brain barrier.

In preclinical studies, RG6102 has shown superior distribution, target engagement and amyloid plaque clearance compared with gantenerumab. In a human Phase Ia study, there was a markedly increased cerebrospinal fluid (CSF)/plasma ratio for RG6102 compared with typical mAbs.

Brainshuttle AD is a 28-week, randomised, global, multicentre, double-blind, placebo-controlled, parallel- group Phase Ib/IIa study evaluating the safety, tolerability, immunogenicity and pharmacokinetics/phar- macodynamics (PK/PD) of RG6102. Multiple-ascending intravenous doses of RG6102 are administered every 4 weeks to patients with prodromal or mild-to-moderate AD. The study consists of a screening period, a double-blind treatment period and a safety follow-up period.

The primary objective is to evaluate the safety and tolerability of RG6102. Secondary outcome measures include the change from baseline in brain amyloid load, plasma and CSF concentration of RG6102 and incidence of anti-drug antibodies to RG6102. Exploratory endpoints include the clinical effect of multiple doses of RG6102 on clinical outcome measures and on various PD biomarkers.

Recruitment for Brainshuttle AD is currently ongoing.
055 Assessment of MACE cognitive screener using efficiency indexes
Authors: Larner Andrew
Published: August 2022

Objective

To calculate the efficiency index (EI), a recently described metric based on test accuracy and inaccuracy, for dementia diagnosis using the mini-Addenbrooke’s Cognitive Examination (MACE), and to compare this with balanced EI (BEI) and unbiased EI (UEI), based on balanced and unbiased accuracy and inaccuracy measures respectively. All efficiency indexes have boundary values of 0 and ∞; inflection point at 1; where value >1 indicates correct diagnostic classification and <1 indicates incorrect classification.

Results

Using the dataset from a large (N = 755) prospective pragmatic study of MACE, in which 114 patients received criterion diagnosis of dementia, EI was 2.81 at the optimal MACE cut-off (≤20/30, deter- mined by maximal Youden index). BEI was 4.24 and UEI was 0.61 at this cut-off. Plotting values of EI, BEI, and UEI across the range of MACE cut-offs (≤11/30 to ≤29/30), UEI values were lowest, EI values were highest at lower cut-offs and BEI values were highest at higher cut-offs. Adjusting for dementia prevalence (fixed BEI), both EI and UEI values increased with dementia prevalence, with EI>UEI.

Conclusions

Efficiency indexes are easily calculated

These unitary metrics may have greater utility than others in communicating risk of correct diagnosis versus misdiagnosis of test outcomes.
Exposure to noise and ototoxic chemicals in the Australian workforce
Authors: Lewkowski Kate , Heyworth Jane S , Li Ian W , Williams Warwick , McCausland Kahlia , Gray Corie , Ytterstad Elinor , Glass Deborah C , Fuente Adrian , Si Si , Florath Ines , Fritschi Lin
Published: August 2022

Objective

To determine the current prevalence of exposure to workplace noise and ototoxic chemicals, including co-exposures.

Method

A cross-sectional telephone survey of nearly 5000 Australian workers was conducted using the web-based application, OccIDEAS. Participants were asked about workplace tasks they performed and predefined algorithms automatically assessed worker’s likelihood of exposure to 10 known ototoxic chemicals as well as estimated their full shift noise exposure level (LAeq,8h) of their most recent working day. Results were extrapolated to represent the Australian working population using a raked weighting technique.

Results

In the Australian workforce, 19.5% of men and 2.8% of women exceeded the recommended full shift noise limit of 85 dBA during their last working day. Men were more likely to be exposed to noise if they were younger, had trade qualifications and did not live in a major city. Men were more likely exposed to workplace ototoxic chemicals (57.3%) than women (25.3%). Over 80% of workers who exceeded the full shift noise limit were also exposed to at least one ototoxic chemical in their workplace.

Conclusion

The results demonstrate that exposures to hazardous noise and ototoxic chemicals are widespread in Australian workplaces and co-exposure is common. Occupational exposure occurs predominantly for men and could explain some of the discrepancies in hearing loss prevalence between genders.
Safety evaluation of centre line, edge line, and dual application rumble strips on Ontario two-lane rural roads
Authors: Persaud Bhagwant , Lindley Ian , Eskandar Mark , Rajeswaran Thanushan
Published: August 2022

The study builds on previous rumble strip safety evaluations by providing some Canadian-specific experience and in the process offering some definitive insights into differences in safety effects between installations on curved and tangent segments. An empirical Bayes before–after study estimated crash modification factors (CMFs) for installing edge line rumble strips (ELRS) and centerline rumble strips (CLRS), separately and in combination, on two-lane rural roads in Ontario. Separate CMFs were estimated for ELRS and CLRS for curved and tangent segments. The estimated CMFs indicate that rumble strips can be beneficial, except for CLRS on curved segments, and especially if applied in combination on tangents. The results also indicate that edge line and dual rumble strips are more effective on curved segments, so priority should be given to their application on such segments. It is noteworthy that dual application is more safety effective than either CLRS or ELRS, for tangents and overall.
Review and concrete description of the irreducible unitary representations of the universal cover of the complexified Poincaré group
Authors: Borasi Luigi M.
Published: August 2022

In this paper, we give a pedagogical presentation of the irreducible unitary representations of [Formula: see text], that is, of the universal cover of the complexified Poincaré group [Formula: see text]. These representations were first investigated by Roffman in 1967. We provide a modern formulation of his results together with some facts from the general Wigner–Mackey theory which are relevant in this context. Moreover, we discuss different ways to realize these representations and, in the case of a non-zero “complex mass”, we give a detailed construction of a more explicit realization. This explicit realization parallels and extends the one used in the classical Wigner case of [Formula: see text]. Our analysis is motivated by the interest in the Euclidean formulation of Fermionic theories.
Analysis of OPAL Bose–Einstein correlation at Z0-pole by the second conventional formula
Authors: Mizoguchi Takuya , Matsumoto Seiji , Biyajima Minoru
Published: August 2022

In this paper, we can obtain a second conventional formula ([Formula: see text]) with two components by extending the conventional formula [Formula: see text] with one component for Bose–Einstein Correlation (BEC). We used [Formula: see text] to analyze the BEC at [Formula: see text]-pole as part of the OPAL collaboration. [Formula: see text] fm ([Formula: see text]) and [Formula: see text][Formula: see text]fm ([Formula: see text]) are the estimated interaction region, where [Formula: see text] and [Formula: see text] are the degrees of coherence, and G is the Gaussian distribution, respectively. Long-range correlation (LRC) is also studied.
Twisted Alexander invariants for the braid group associated with the Tong–Yang–Ma representation
Authors: Takano Akihiro
Published: August 2022

In this paper, we compute the twisted Alexander invariant of the braid group associated with the Tong–Yang–Ma representation.
A Model to Coordinate Interests in Investment Management
Authors: Belyavsky G. I. , Danilova N. V. , Ougolnitsky G. A.
Published: August 2022

The portfolio selection problem is treated as a two-player game: one player [Unit Investment Trust (UIT)] deals with investments, and the other (agent) allocates funds for it. The game is described in formal terms, and its solution is found. Note that the condition of sustainable development is derived directly from the game solution. UIT’s learning is analyzed. Three possible statements of the UIT’s learning problem are investigated, each corresponding to a particular machine learning model. An online learning model is considered to predict the information necessary for the agent’s optimal behavior in the game. A computational experiment is provided: the three learning models are applied, and the simulation results are discussed.
Hydrolysis of NH3BH3 by N-Doped Graphene Quantum Dots-Loaded Nonprecious Bimetallic Nanoparticles (Co-Ni/N-GQDs) for Hydrogen Evolution
Authors: Cao Jie , Hu Weimin , Li Qiuyan , Lv Guo , Chen Weifeng , Liu Xiang
Published: August 2022

Utilization of nonprecious metals to replace precious metals in the catalytic hydrolysis of hydrogen storage materials causes wide attention. Herein, nonprecious bimetallic nanoparticles loaded on N-doped graphene quantum dots (Co-Ni/N-GQDs) have been synthesized and applied in the hydrolysis of NH3BH3 for the first time. It is demonstrated that Co-Ni/N-GQDs exhibit the obvious bimetallic synergies in the hydrolysis of NH3BH3, and the total turnover frequency (TOF) value reaches 19.94[Formula: see text]mol[Formula: see text]mol[Formula: see text]min[Formula: see text] via the optimized design. This work first explored the catalytic performance for the nonprecious bimetallic nanoparticles loaded on N-GQDs in the hydrolysis of NH3BH3, greatly facilitating the development of both nonprecious metals and N-GQDs in the hydrogen evolution.
The Biokinetics and Toxicology of Fe3O4 Nanoparticles Influenced by Magnetic Field and Protein
Authors: Zhang Junfeng , Li Yajie , Zhang Yuxi , Wu Yinghua , Ju Jiale , He Wen , Li Chenchen
Published: August 2022

Magnetic nanoparticles (MNPs) used in bio-application have accelerated the development of “theranostics” which contains imaging, therapy and drug delivery. However, in a protein-rich physiological fluid, MNPs are ineluctable to a contact with protein to form “protein corona”, which will significantly change the physicochemical properties of the particles and their biological behavior. Therefore, we investigated the influence of protein and static magnetic field (SMF) on the cytotoxicity and cellular uptake of MNPs. The Fe3O4 nanoparticles (Fe3O4 NPs) were synthesized by solvothermal method with a mean diameter of [Formula: see text][Formula: see text]nm functionalized with carboxyl groups. After a period of 12[Formula: see text]h incubation in complete medium (CM), the wrapping of the Fe3O4 NPs by protein adsorption resulted in about 40-nm increase of the hydrodynamic size. Their stability in CM and water solution did not broaden significantly over time, which is exactly opposite in serum-free media (SFM). When transferred to SFM with high ionic-strength, the Fe3O4 NPs aggregated and settled quickly. We explore that the cell viability was decreased in proportion to the concentration and incubating time of Fe3O4 NPs, the absence of FBS and the presence of SMF exposure, respectively. Quantitative analysis showed that cells could incorporate more NPs in SFM, about five-fold more than in CM. In addition, it is obvious that exposure to SMF resulted in more cellular uptake both in CM and SFM. Our results demonstrated that Fe3O4 NPs in SFM and SMF exposure would settle down to cell rapidly, which caused more cellular uptake and higher cytotoxicity.
Value of core for reservoir and top-seal analysis for carbon capture and storage projects
Authors: Worden Richard H.
Published: August 2022

Carbon capture and storage (CCS) initiatives to mitigate greenhouse gas emissions are being planned in many countries, including offshore settings in the UK. To start with, almost all of these initiatives have utilized core that was originally collected to help with oil and gas exploration, appraisal and development projects. The objectives of core-based studies for CCS are subtly different to those for oil and gas studies. There are several significant reasons why core should be valued in CCS projects. Data from core provide a chance to calibrate lithology and porosity interpretations made from wireline logs that are used to characterize the subsurface and populate geocellular models. Permeability-related attributes, especially directional permeability (
k
v
and
k
h
) and relative permeability in CO
2
–water mixed fluid systems, are essential to predict CO
2
injection rates and CO
2
movement patterns in the reservoir and can only be acquired from core. Although many geomechanical data, necessary to undertake safe injection of CO
2
and avoid induced fracturing, can be acquired from wireline logs, borehole imaging and downhole tests, core samples from the reservoir and top-seal are required to reveal tensile strength and to calibrate elastic and other geomechanical properties acquired from logs. Top-seal performance is critical for carbon capture and storage; core samples from top-seals are the best way to determine capillary entry pressure and so define the maximum CO
2
column height and possible CO
2
leakage rates. The possibility of dissolution reactions between formation water, acidified by high pressure CO
2
, and minerals in both the reservoir and top-seal is best assessed by detailed petrographic and mineralogical study of core samples and a combination of modelling and core flow-through experiments. In summary, core is essential to CCS projects to determine CO
2
storage efficiency, CO
2
injection rates and the optimum way to safely store CO
2
.
SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Networks
Authors: Aminabadi Reza Yazdani , Ruwase Olatunji , Zhang Minjia , He Yuxiong , Arnau Jose-Maria , González Antonio
Published: August 2022

The effectiveness of Recurrent Neural Networks (RNNs) for tasks such as Automatic Speech Recognition has fostered interest in RNN inference acceleration. Due to the recurrent nature and data dependencies of RNN computations, prior work has designed customized architectures specifically tailored to the computation pattern of RNN, getting high computation efficiency for certain chosen model sizes. However, given that the dimensionality of RNNs varies a lot for different tasks, it is crucial to generalize this efficiency to diverse configurations.

In this work, we identify adaptiveness as a key feature that is missing from today’s RNN accelerators. In particular, we first show the problem of low resource utilization and low adaptiveness for the state-of-the-art RNN implementations on GPU, FPGA, and ASIC architectures. To solve these issues, we propose an intelligent tiled-based dispatching mechanism for increasing the adaptiveness of RNN computation, in order to efficiently handle the data dependencies. To do so, we propose Sharp as a hardware accelerator, which pipelines RNN computation using an effective scheduling scheme to hide most of the dependent serialization. Furthermore, Sharp employs dynamic reconfigurable architecture to adapt to the model’s characteristics.

Sharp achieves 2×, 2.8×, and 82× speedups on average, considering different RNN models and resource budgets, compared to the state-of-the-art ASIC, FPGA, and GPU implementations, respectively. Furthermore, we provide significant energy reduction with respect to the previous solutions, due to the low power dissipation of Sharp (321 GFLOPS/Watt).
MPoR: A Modified Consensus for Blockchain-Based Internet of Vehicles
Authors: Hou Bochuan , Zhu Hongliang , Xin Yang , Wang Jianyu , Yang Yixian
Published: August 2022

Ride-sharing services, such as ride-hailing and carpooling, have become attractive travel patterns for worldwide users. Due to the high dynamic topology, heterogeneous wireless communication mode, and centralization, the Internet of Vehicles (IoV) is much more vulnerable to security issues such as privacy theft, single point of failure, data island, and unauthorized access, resulting in great security risks, while ride-sharing services provide convenience. Blockchain technology used to solve the security problems of the IoV has become a current research hotspot, including authentication and privacy protection. Nevertheless, the existing algorithms still face challenges such as large amount of computation, low throughput, low scalability, consensus, and node security. Achieving an efficient, lightweight, and scalable secure blockchain–based IoV system still needs to be solved urgently. In this paper, we propose an effective consensus algorithm called Modified Proof of Reputation (MPoR). Firstly, by using the average network access time of the whole network nodes as the filtering threshold, the number of consensus nodes can be controlled adaptively. Then, a new multiweight reputation algorithm is proposed to quantify the reputation value of nodes, so as to detect and eliminate malicious nodes in the consensus node pool. Theoretical analysis and extensive simulation experiments reflect that under the IoV scenario, MPoR can adaptively select the number of consensus nodes, to effectively improve the consensus efficiency. When malicious nodes are less than 1/3 of the total nodes in the network, MPoR can effectively resist latent attack and collusive attack and has strong robustness.
Dynamic Response Characteristics of the Electric Domain Structure of Ferroelectric Materials to the Surrounding Rock Structure of a Heavy‐Duty Railway with a Small‐Clearance Crossing Tunnel
Authors: Hao Xiaotian , Wang Hailong
Published: August 2022

At present, the world‐wide heavy‐haul transportation technology of cargo trains has developed rapidly. Heavy‐haul railway transportation has received extensive attention due to its large capacity, high efficiency, and low transportation costs. In order to understand the role that ferroelectric materials can play in the dynamic response of a heavy‐duty railway surrounding rock structures in crosstunnels, this article introduces the domain structure of ferroelectric materials, derives the calculation method of the dynamic response of the surrounding rock structure, simulates the dynamic response characteristics through the corresponding formula, and analyzes the changes of the heavy‐duty railway in the presence and absence of water. The situation was analyzed. The research results found that the increase of axle load will increase the bending moment of the invert structure. When the axle load is 30 t, the V‐class surrounding rock is the most unfavorable working condition and the bending moment value of the invert structure is the largest at this time. When the added value of contact pressure is generally around 6.5 kPa, the railway as a whole can maintain a stable state.
Acute Hydrops with Total Corneal Edema in a Very Young Child with Keratoconus: The Youngest Age Reported Case
Authors: Sedaghat Mohammad-Reza , Momeni-Moghaddam Hamed , Belin Michael W. , Savardashtaki Maryam , Naroo Shehzad A. , Robabi Hassan
Published: August 2022

Purpose. To present the youngest age ever reported for acute corneal hydrops with total corneal edema in a child with advanced bilateral keratoconus. Methods. Patient presentation in ophthalmic clinic. The patient underwent various clinical tests and examinations including anterior segment optical coherence tomography (AS-OCT) and Scheimpflug corneal tomography. Results. A 5-year-old girl presented with uncorrected distance visual acuity (UDVA) of 0.4 in the right eye and nonmeasurable UDVA associated with severe photophobia in her left eye of a 3-day duration. Intraocular pressure using the iCare tonometer was 14 and 5 mmHg in the right and left eyes, respectively. An old corneal hydrops scar and posterior subcapsular cataract (PSC) in the right eye and a total limbus to limbus corneal hydrops in the left eye were observed on slit-lamp examinations. Scheimpflug corneal tomography was possible in the right eye but, due to excessive irregularity and scaring, was not possible in the left eye. Corneal thinning and scarring were evident in the anterior segment optical coherence tomography in the right eye and very edematous cornea associated with stromal cleft and epithelial bullae in the left eye. A management plan consisting of topical hypertonic solution and ointment was started to reduce her symptoms. Conclusion. Acute corneal hydrops may be the presenting sign of keratoconus; however, extensive hydrops involving the total cornea area at a very young age is very rare and has not been previously reported in the literature.
Research on the Bionic Flexible End-Effector Based on Tomato Harvesting
Authors: Guo Tiezheng , Zheng Yifeng , Bo Weixi , Liu Jun , Pi Jie , Chen Wei , Deng Junzhuo
Published: August 2022

Aiming at the problems that tomatoes are fragile and the traditional end-effector design is not suitable for tomato picking, a combination of the bionic principle of FRE structure and finger design was proposed. Based on the physical properties of tomatoes, a flexible underactuated end-effector for tomato picking and sorting was designed. The optimal structural parameters of fingers were determined by finite element analysis, and the tomato grasping experiment was carried out. The results show that the flexible end can grasp and transport tomatoes with diameters ranging from 65 to 95 mm without damage, which can withstand 7 N tensile force, the load is more than 2 times of its own weight, the tomato coverage rate is greater than 23.6%, and the effective grab rate is 100% and has the advantages of the strong stability, universality, and protection. The research provides a novel solution for the design and application of the tomato picking and sorting robot end-effector.
Novel Homozygous TTI2 Variant Causing Autosomal Recessive Syndromic Intellectual Disability and Primary Microcephaly from Pakistan: A Case Report (Exome Report)
Authors: Qarnain Zul , Khan Fatima , Akbar Fizza , Kirmani Salman
Published: August 2022

We describe a male patient with a novel TTI2 variant, which has not been previously associated with a human phenotype. His features include intellectual disability, primary microcephaly, delayed psychomotor development, speech delay, short stature, dysmorphic facial features, esotropia, kyphoscoliosis, and behavior abnormalities (Figure). Next generation sequencing revealed autosomal recessive TTI2 variant with uncertain significance, denoted as c.21_22insAAGCGCTCTG (p.Glu8Lysfs × 12). TTI2 encodes a regulator of DNA damage response and helps maintain steady levels of the PIKK family of protein kinases. No disease-causing variants in other genes potentially linked to his clinical presentation were identified. We report a novel loss-of-function homozygous variant in TTI2 that leads to syndromic intellectual disability and primary microcephaly.
Analysis of International Trade Competitiveness of Small Commodities Based on Numerical Simulation Algorithm
Authors: Sun Chunyuan , Hu Qingbo
Published: August 2022

In order to improve the analysis effect of the international trade competitiveness of small commodities, this study combines the digital simulation algorithm to analyze the competitiveness of international trade of small commodities and builds a competitiveness analysis model. Furthermore, this study summarizes several main factors that affect energy resolution, presents methods to provide energy resolution, and discusses methods for reducing noise from both analog and digital perspectives. In addition, this study gives the design principle and implementation method of the FIR digital filter, which provides theoretical support for digital signal processing design. Through the data analysis, it can be seen that the analysis model of the international trade competitiveness of small commodities based on the numerical simulation algorithm proposed in this study has a good performance in the analysis of the competitiveness of international trade of small commodities.
Teaching Practice of Dragon and Lion Dance in Colleges and Universities with the Support of Big Data Technology
Authors: Chen Liangjun , Liu Yuhang , Zuo Tao , Meng Tongyu , Xu Yang , Luo Pei , Huang Mingyuan
Published: August 2022

Colleges and universities are an important part of China’s higher education. They undertake the important task of cultivating talents and are an important part of the construction of a harmonious society. Building a harmonious campus is not only the cornerstone of building a harmonious society but also the internal need to promote the comprehensive, coordinated, and sustainable development of various undertakings in colleges and universities, but also an important goal of the construction, reform, and development of colleges and universities. Therefore, building a harmonious campus has become a new task for colleges and universities, and the construction of harmonious campus culture is the core content of building a harmonious campus. Dragon and lion dance, which originated in China, is a nationally unique art form and deeply contains broad Chinese traditional culture. Studying the role of dragon and lion dance in promoting the construction of harmonious campus culture in colleges and universities will help to strengthen the school’s sports work and enhance national unity, so as to promote the construction of a harmonious campus. Firstly, combined with the characteristics of dragon and lion dance practice, this paper expounds on the development value and strategy of dragon and lion dance in colleges and universities. Then, with the support of big data, the teaching of dragon and lion dance in colleges and universities was studied. An improved depth neural network is used to analyze the data using deep neural mapping support vector machine (DNMSVM) and cross-connected convolutional network. Simulation experiments verify the effectiveness of the model and promote the promotion and popularization of the dragon and lion dance in colleges and universities.
An Information-Centric Network Caching Method Based on Popularity Rating and Topology Weighting
Authors: Chang Yaxin , Guo Jiafei , Wang Hanbo , Man Dapeng , Lv Jiguang
Published: August 2022

Ubiquitous caching is a feature shared by all proposed information-centric network (ICN) architectures. Prioritising storage resources to popular content in the network is a proven way to guarantee hit rates, reduce the number of hops forwarded, and reduce user request latency. An ideal ICN caching mechanism should make the best use of relevant information such as content information, network state, and user requirements to achieve optimal selection and have the ability to adaptively adjust the decision cache content for dynamic scenarios. Since router nodes have limited cache space, it is then useless to accurately predict the popularity of the content with very low popularity, as this content has no chance of being cached. A more effective approach is to focus on content with high popularity that influences caching decisions. As for different nodes, they have different sets of popular content, and using this property, this paper designs a caching method based on the popularity hierarchy with topological weights. The method considers managing the cached content in nodes with a hierarchy of popularity and improving their distribution in terms of the importance of the nodes’ position in the network. Finally, the scheme is simulated by changing the parameter settings under different actual topologies on the simulation platform to confirm the feasibility of the scheme.
Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model
Authors: Zambrano-Vizuete Marcelo , Botto-Tobar Miguel , Huerta-Suárez Carmen , Paredes-Parada Wladimir , Patiño Pérez Darwin , Ahanger Tariq Ahamed , Gonzalez Neilys
Published: August 2022

Image segmentation and computer vision are becoming more important in computer-aided design. A computer algorithm extracts image borders, colours, and textures. It also depletes resources. Technical knowledge is required to extract information about distinctive features. There is currently no medical picture segmentation or recognition software available. The proposed model has 13 layers and uses dilated convolution and max-pooling to extract small features. Ghost model deletes the duplicated features, makes the process easier, and reduces the complexity. The Convolution Neural Network (CNN) generates a feature vector map and improves the accuracy of area or bounding box proposals. Restructuring is required for healing. As a result, convolutional neural networks segment medical images. It is possible to acquire the beginning region of a segmented medical image. The proposed model gives better results as compared to the traditional models, it gives an accuracy of 96.05, Precision 98.2, and recall 95.78. The first findings are improved by thickening and categorising the image’s pixels. Morphological techniques may be used to segment medical images. Experiments demonstrate that the recommended segmentation strategy is effective. This study rethinks medical image segmentation methods.
Research on Local Counting and Object Detection of Multiscale Crowds in Video Based on Time-Frequency Analysis
Authors: Ren Guoyin , Lu Xiaoqi , Li Yuhao
Published: August 2022

Objective. It has become a very difficult task for cameras to complete real-time crowd counting under congestion conditions. Methods. This paper proposes a DRC-ConvLSTM network, which combines a depth-aware model and depth-adaptive Gaussian kernel to extract the spatial-temporal features and depth-level matching of crowd depth space edge constraints in videos, and finally achieves satisfactory crowd density estimation results. The model is trained with weak supervision on a training set of point-labeled images. The design of the detector is to propose a deep adaptive perception network DRD-NET, which can better initialize the size and position of the head detection frame in the image with the help of density map and RGBD-adaptive perception network. Results. The results show that our method achieves the best performance in RGBD dense video crowd counting on five labeled sequence datasets; the MICC dataset, CrowdFlow dataset, FDST dataset, Mall dataset, and UCSD dataset were evaluated to verify its effectiveness. Conclusion. The experimental results show that the proposed DRD-NET model combined with DRC-ConvLSTM outperforms the existing video crowd counting ConvLSTM model, and the effectiveness of the parameters of each part of the model is further proved by ablation experiments.
Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning
Authors: Palanivinayagam Ashokkumar , Panneerselvam Ramesh Kumar , Kumar P. J. , Rajadurai Hariharan , Maheshwari V. , Allayear Shaikh Muhammad
Published: August 2022

The novel coronavirus 2019 (COVID-19) disease is a pandemic which affects thousands of people throughout the world. It has rapidly spread throughout India since the first case in India was reported on 30 January 2020. The official report says that totally 4, 11,773 cases are positive, 2, 28,307 recovered, and the country reported 12,948 deaths as of 21 June 2020. Vaccination is the only way to prevent the spreading of COVID-19 disease. Due to various reasons, there is vaccine hesitancy across many people. Hence, the Indian government has the solution to avoid the spread of the disease by instructing their citizens to maintain social distancing, wearing masks, avoiding crowds, and cleaning your hands. Moreover, lots of poverty cases are reported due to social distancing, and hence, both the center government and the respective state governments decide to issue relief funds to all its citizens. The government is unable to maintain social distancing during the relief schemes as the population is huge and available support staffs are less. In this paper, the proposed algorithm makes use of graph theory to schedule the timing of the relief funds so that with the available support staff, the government would able to implement its relief scheme while maintaining social distancing. Furthermore, we have used LSTM deep learning model to predict the spread rate and analyze the daily positive COVID cases.
Intradural Extramedullary Cavernous Malformation of the Spinal Cord with Hemorrhagic Transformation and Rapid Expansion
Authors: Poudel Prabhat , Chiluwal Amrit K , Nouri Mohsen
Published: August 2022

Intradural extramedullary cavernous malformations in the spinal cord are rarely occurring vascular lesions. Mostly they are clinically silent unless the hemorrhagic transformation causes subarachnoid hemorrhage or neurologic deficits. We report the case of a 51-year-old man who developed a headache and weakness of the lower limb. Spinal cord magnetic resonance imaging revealed that the cause of his symptoms was a spinal intradural and extramedullary cavernous malformation with hemorrhagic transformation causing subarachnoid hemorrhage and compression of the thoracic spinal cord. Surgical decompression of the spinal cord followed by the resection of the lesion resulted in significant neurological improvement. Early diagnosis and early surgical extirpation of the lesion should be done to prevent recurrent hemorrhagic transformation and development of neurological symptoms.
Innovation or Imitation: Empirical Test Based on EPS Global Statistics
Authors: Wang Xiaohui , Li Hongtao
Published: August 2022

Technological progress is an important embodiment of innovation‐driven, but also the main determinant of sustained economic development. Technological advances lie in the introduction of technology, learning, imitation, and independent research and development. The introduction of technology to developing countries can accelerate technological progress, reduce the technology gap, and promote sustained and rapid economic development. If the technology gap between developed and developing countries is, in fact, gradually shrinking, then the continual introduction and imitation of new technology can easily lead to “path dependence” and technical bottlenecks in developed countries. This trend may also be unfavorable for the protection of intellectual property rights. Due to the externality of knowledge and the cost of imitation, there exists an internal Nash equilibrium point between the R & D strategy and the imitation strategy. In this article, we use population dynamics and the replicon dynamics of R & D and imitation, as well as equilibrium conditions, to optimize the investment path of the enterprise. The balance between the number of R & D and the number of imitators depends on the proportion of the output elasticity of the R & D enterprise. Due to the existence of this balance, the rate of technological progress and the rate of capital growth were found to increase in proportion. Our empirical analysis confirmed this result and found that the transnational flows of the factor affect stability. Therefore, innovation‐driven technological progress was found to be an important determinant of sustained economic growth.
FDA Approval Summary: Nivolumab for the Adjuvant Treatment of Adults with Completely Resected Esophageal/Gastroesophageal Junction Cancer and Residual Pathologic Disease
Authors: Horiba M. Naomi , Casak Sandra J. , Mishra-Kalyani Pallavi S. , Roy Pourab , Beaver Julia A. , Pazdur Richard , Kluetz Paul G. , Lemery Steven J. , Fashoyin-Aje Lola A.
Published: August 2022

The FDA approved nivolumab on May 20, 2021, for the adjuvant treatment of completely resected (negative margins) esophageal or gastroesophageal junction cancer (EC/GEJC) in patients who had residual pathologic disease following chemoradiotherapy. The approval was based on data from the double-blind CheckMate 577 trial, which randomly allocated patients to receive nivolumab or placebo. Disease-free survival (DFS) was the primary endpoint. At the time of the final DFS analysis and the prespecified interim overall survival (OS) analysis, the estimated median DFS was 22.4 months [95% confidence interval (CI), 16.6–34.0] in the nivolumab arm versus 11.0 months (95% CI, 8.3–14.3) in the placebo arm, with an HR of 0.69 (95% CI, 0.56–0.85; two-sided P value = 0.0003). An unblinded review of OS did not indicate a detrimental effect on survival. Adverse reactions occurring in ≥20% of patients receiving nivolumab were fatigue/asthenia, diarrhea, nausea, rash, musculoskeletal pain, and cough. Approval of nivolumab is likely to change the treatment paradigm for the adjuvant treatment of patients with completely resected (negative margins) EC/GEJC who have residual pathologic disease following chemoradiotherapy based on the study results and favorable risk:benefit of nivolumab administration.
Taking the Road Less Traveled: Following Molecular Trail Markers
Authors: Veneziani Ana C. , Oza Amit M.
Published: August 2022

Targeted therapy largely remains an unmet therapeutic need for low-grade serous ovarian carcinomas. However, recent advances in molecular characterization are beginning to change the landscape. A recent article highlights the association of genetic alterations with clinical outcomes, widening the scope of novel targeted therapies.

See related article by Manning-Geist et al., p. 4456
Faktori koji utječu na oporavak djece nakon tonzilektomije
Authors: Pavlić Blaženka , Grgić Marko Velimir , Bauer Vladimir , Gavrilidis Afrodita , Vižintin Karolina , Mirilović Snježana
Published: August 2022

Introduction: Tonsil operations are among the most usual operations performed on children. The aim of this study is to establish how age, sex, body height, and weight affect the recovery of children after tonsillectomy.Methods: This study involved 66 children, girls and boys equally, between the ages of 4-9. The survey obtained seven questions about the factors that we have evaluated as significant for the postoperative recovery of children (fluid intake, food intake, sleep, daily activities, mood, communication, hospitalization) and was conducted by a nurse on the third, the seventh and the fifteenth postoperative day by a telephone inquiry. Results: Statistically significant difference between boys and girls was found during the seventh day (daily activities) and the fifteenth day (sleep). Pearson test of correlation established a statistically significant negative correlation in the group of all children with age/height/weight during the third, seventh, and fifteenth day for the consummation of liquid and food, sleep, daily activities, mood, and communication. Statistical significance was not established in relation to the hospitalization.Conclusion: We can conclude that, in our sample physically smaller thus, younger children recover better than the elder ones, which is statistically confirmed by a significant negative correlation between age, weight, height, and the observed parameters during the recovery. To a further extent, we concluded that girls recover slightly better than boys, but for most parameters the difference was not statistically significant.
Some Thoughts on Judaism and Hellenism by Martin Hengel
Authors: Cohen Shaye J.D.
Published: August 2022

This short note offers some thoughts on Martin Hengel’s construct of the struggle between the “reformers” or Hellenists and those faithful to the law in Jerusalem of the 160s BCE.
Some Problems with Talking about ‘Septuagint Greek’
Authors: Ross William A.
Published: August 2022

While all agree that the language of the Septuagint does not represent a Jewish dialect, scholarship has nevertheless struggled to find ways of discussing the language of the Septuagint without implying a similar idea. Just as the notions of “biblical Greek” and “Jewish Greek” have rightly come under scrutiny, so also must scholars carefully reconsider “Septuagint Greek” and similar sobriquets. While admittedly helpful shorthand, such terminology may unintentionally license—or surreptitiously import—prescriptivist approaches to language that are now widely abandoned in linguistic scholarship. This article presents the ancient historical background to such approaches and surveys problematic terminology common within contemporary scholarship to illustrate its links (or lack thereof) with developments in general linguistics. More up-to-date frameworks, particularly from sociolinguistics, provide better concepts and terminology for discussing the language of the Septuagint. Attention is also given to evaluating the absence of external evidence and matters of style.
Renewed perspectives on the sedentary-pelagic last common bilaterian ancestor
Authors: Martynov Alexander V. , Korshunova Tatiana A.
Published: August 2022

Various evaluations of the last common bilaterian ancestor (lcba) currently suggest that it resembled either a microscopic, non-segmented motile adult; or, on the contrary, a complex segmented adult motile urbilaterian. These fundamental inconsistencies remain largely unexplained. A majority of multidisciplinary data regarding sedentary adult ancestral bilaterian organization is overlooked. The sedentary-pelagic model is supported now by a number of novel developmental, paleontological and molecular phylogenetic data: (1) data in support of sedentary sponges, in the adult stage, as sister to all other Metazoa; (2) a similarity of molecular developmental pathways in both adults and larvae across sedentary sponges, cnidarians, and bilaterians; (3) a cnidarian-bilaterian relationship, including a unique sharing of a bona fide Hox-gene cluster, of which the evolutionary appearance does not connect directly to a bilaterian motile organization; (4) the presence of sedentary and tube-dwelling representatives of the main bilaterian clades in the early Cambrian; (5) an absence of definite taxonomic attribution of Ediacaran taxa reconstructed as motile to any true bilaterian phyla; (6) a similarity of tube morphology (and the clear presence of a protoconch-like apical structure of the Ediacaran sedentary Cloudinidae) among shells of the early Cambrian, and later true bilaterians, such as semi-sedentary hyoliths and motile molluscs; (7) recent data that provide growing evidence for a complex urbilaterian, despite a continuous molecular phylogenetic controversy. The present review compares the main existing models and reconciles the sedentary model of an urbilaterian and the model of a larva-like lcba with a unified sedentary(adult)-pelagic(larva) model of the lcba.