bluuebunny/crossref_metadata_2025 huggingface dataset:
Temperature measurement of babies born in the pre-hospital setting: analysis of ambulance service data and qualitative interviews with paramedics
Authors: Goodwin Laura , Voss Sarah , McClelland Graham , Beach Emily , Bedson Adam , Black Sarah , Deave Toity , Miller Nick , Taylor Hazel , Benger Jonathan
Published: August 2022

Background

Birth before arrival at hospital (BBA) is associated with unfavourable perinatal outcomes and increased mortality. An important risk factor for mortality following BBA is hypothermia, and emergency medical services (EMS) providers are well placed to provide warming strategies. However, research from the UK suggests that EMS providers (paramedics) do not routinely record neonatal temperature following BBA. This study aimed to determine the proportion of cases in which neonatal temperature is documented by paramedics attending BBAs in the South West of England and to explore the barriers to temperature measurement by paramedics.

Methods

A two-phase multi-method study. Phase I involved an analysis of anonymised data from electronic patient care records between 1 February 2017 and 31 January 2020 in a single UK ambulance service, to determine 1) the frequency of BBAs attended and 2) the percentage of these births where a neonatal temperature was recorded, and what proportion of these were hypothermic. Phase II involved interviews with 20 operational paramedics from the same ambulance service, to explore their experiences of, and barriers and facilitators to, neonatal temperature measurement and management following BBA.

Results

There were 1582 ‘normal deliveries’ attended by paramedics within the date range. Neonatal temperatures were recorded in 43/1582 (2.7%) instances, of which 72% were below 36.5°C. Data from interviews suggested several barriers and potential facilitators to paramedic measurement of neonatal temperature. Barriers included unavailable or unsuitable equipment, prioritisation of other care activities, lack of exposure to births, and uncertainty regarding responsibilities and roles. Possible facilitators included better equipment, physical prompts, and training and awareness-raising around the importance of temperature measurement.

Conclusions

This study demonstrates a lack of neonatal temperature measurement by paramedics in the South West following BBA, and highlights barriers and facilitators that could serve as a basis for developing an intervention to improve neonatal temperature measurement.
Secure app-based secondary healthcare clinical decision support to deployed forces in the UK Defence Medical Services
Authors: Naumann David N , McMenemy L , Beaven A , Bowley D M , Mountain A , Bartels O , Booker R J
Published: August 2022

Background

Modern instant messaging systems facilitate reach-back medical support for Defence Medical Services (DMS) by connecting deployed clinicians to remote specialists. The mobile app Pando (Forward Clinical, UK) has been used for this purpose by the DMS via the ‘Ask Advice’ function. We aimed to investigate the usage statistics for this technology in its first 1000 days to better understand its role in the DMS.

Methods

An observational study was undertaken using metadata extracted from the prospective database within the application server for clinical queries between June 2019 and February 2022. These data included details regarding number and name of specialties, timings, active users per day and the number of conversations.

Results

There were 29 specialties, with 298 specialist users and 553 requests for advice. The highest volume of requests were for trauma and orthopaedics (n=116; 21.0%), ear, nose and throat (n=67; 12.1%) and dermatology (n=50; 9.0%). There was a median of 164 (IQR 82–257) users logged in per day (range 2–697). The number of requests during each day correlated with the number of users on that day (r=0.221 (95% CI 0.159 to 0.281); p<0.001). There were more daily users on weekdays than weekends (215 (IQR 123–277) vs 88 (IQR 58–121), respectively; p<0.001). For the top 10 specialties, the median first response time was 9 (IQR 3–42) min and the median time to resolution was 105 (IQR 21–1086) min.

Conclusion

In the first 1000 days of secure app-based reach-back by the DMS there have been over 500 conversations, responded to within minutes by multiple specialists. This represents a maturing reach-back capability that may enhance the force multiplying effect of defence healthcare while minimising the deployed ‘medical footprint’. Further discussions should address how this technology can be used to provide appropriately responsive clinical advice within DMS consultant job-planned time.
Particle dynamics and gravitational weak lensing around black hole in the Kalb-Ramond gravity
Authors: Atamurotov Farruh , Ortiqboev Dilmurod , Abdujabbarov Ahmadjon , Mustafa G.
Published: August 2022

In this paper, we have studied the particle dynamics, gravitational lensing and energy processes around the black hole (BH) in Kalb–Ramond (KR) gravity. The motion of particles is considered with parameters in KR BH and investigated for massive and massless particles. From this work, we have got the horizon structure, photon orbit of photon and ISCO (inner stable circular orbit) of a mass particle with parameters in KR gravity. The effective potential is also studied for the massless and mass particles. Additionally, we tested energy extracted from BH using the BSW (Banados–Silk–West) method and derived the expression of center mass-energy in KR gravity. The impact of the model parameters$$\gamma $$γand$$\lambda $$λis checked to study the size of the BH shadow in the KR gravity. Gravitational weak lensing has been explored using the general method and the derived deflection angle of light rays around the BH for the plasma of various concentration distributions. The magnification of brightness is obtained using the angle of deflection of the light rays.
Cryptanalysis and improvement on two party quantum private comparison based on seven-qubit and eight-qubit states
Authors: Tsai Chia-Wei , Lin Jason , Chao Han-Chieh , Yang Chun-Wei
Published: August 2022

Ji et al. [Mod. Phys. Lett. A 34, 1950229 (2019)] and Fan et al. [Mod. Phys. Lett. A 37, 2250026 (2022)] proposed two-party quantum private comparison (QPC) protocols based on 7-qubit and 8-qubit states, respectively. However, these two QPC protocols did not consider third-party (TP) attacks. Therefore, this study focuses on TP attacks and demonstrates that the property of a 7-qubit or 8-qubit entanglement state is useless in this attack situation; that is, the participant wastes resources to maintain the qubits. For the same assumption environment proposed by Ji et al. and Fan et al., this study proposes an improvement and simplification protocol that allows participants to reach the goal of private comparison by using only classical computation and the classical communication channel without any entanglement state.
Modified Hawking temperature of Kerr–Newman black hole in Lorentz symmetry violation theory
Authors: Priyobarta Singh Y. , Ibungochouba Singh T. , Ablu Meitei I. , Keshwarjit Singh A.
Published: August 2022

In this paper, we study the quantum tunneling of scalar particles near the event horizon of Kerr–Newman black hole under Lorentz violation theory. First, the modified Hamilton–Jacobi equation under Lorentz violation theory in the curved spacetime is reviewed. The modified Hawking temperatures, heat capacities and entropies of Kerr–Newman black hole in frame dragging coordinates and Eddington coordinate are derived. The modified Hawking temperature, heat capacity and change in Bekenstein–Hawking entropy of Kerr–Newman black hole are found to be modified due to Lorentz violation theory and they depend not only on Lorentz violation parameter [Formula: see text] but also on ether-like vector [Formula: see text].
Ptolemy diagrams and cotorsion pairs in m-cluster categories of type A
Authors: Chang Huimin , Zhu Bin
Published: August 2022

In this paper, we give a complete classification of cotorsion pairs in [Formula: see text]-cluster categories of type [Formula: see text], denoted by [Formula: see text], via certain configurations of [Formula: see text]-diagonals, called Ptolemy diagrams. As applications, we classify [Formula: see text]-rigid subcategories of [Formula: see text], which gives Jacquet–Malo’s classification of [Formula: see text]-cluster tilting subcategories of [Formula: see text]. When [Formula: see text], this generalizes the work of Holm et al. [Ptolemy diagrams and torsion pairs in the cluster category of Dynkin type [Formula: see text], J. Algebraic Combin. 34 (3) (2011) 507–523] for the classification of torsion pairs in cluster categories of type [Formula: see text].
A Study on Surfactant Solutions as Stop Solution for Metal Nanoparticles Aggregation-Based Colorimetric Assays
Authors: Jouyban Abolghasem , Samadi Azam
Published: August 2022

In this paper, we report herein for the first time that a stop solution should be used to terminate the metal nanoparticles (MNPs) aggregation reactions especially salt-induced ones to increase the repeatability of the assays. It was found that hydrophobic surfactants have the ability to slow down the aggregation process of MNPs and can be applied as stop solution for aggregation-based colorimetric assays. This trick provides accurate and well-repeatable signals since the aggregation of the nanoparticles is a dynamic process and capturing signal in a predetermined time is difficult.
Quaternion linear canonicalS-transform and associated uncertainty principles
Authors: Younus Bhat M. , Dar Aamir H.
Published: August 2022

In this paper, we introduce the notion of quaternion linear canonical S-transform (Q-LCST) which is an extension of the linear canonical S-transform and study the uncertainty principles associated with the Q-LCST. First, we propose the definition of Q-LCST and then study the fundamental properties of [Formula: see text]-LCST including linearity, shift, modulation, orthogonality relation and reconstruction formula. Second, we derive the associated Heisenbergs uncertainty inequality and the corresponding logarithmic version for [Formula: see text]-LCST. Finally, some potential applications of the Q-LCST are introduced.
Enhancement of permittivity and energy storage efficiency of poly (vinylidene fluoride-chlorotrifluoroethylene) by uniaxial stretching
Authors: Zhou Zhenji , Xia Weimin , Liu Jing , Tian Na , You Caiyin
Published: August 2022

Dielectric polymer film capacitors with a high-power density as well as efficient charge and discharge rates have great potential for application to fulfill the miniaturized and lightweight requirements of the electronic and stationary power systems. It was reported that the elastic recovery rate and energy storage density of poly (vinylidene fluoride-chlorotrifluoroethylene) [P(VDF-CTFE)] polymer film can be enhanced through thermostatic uniaxial stretching. But it is unknown about the relationship between the stretching rate and above properties. In this study, we investigated the effect of different stretching rates on the conformation, elastic recovery, dielectric constant, and energy storage density of stretched P(VDF-CTFE) polymer films. It was found that the stretching rate significantly affected the formation of polar [Formula: see text]-crystal phase, causing different dielectric properties. The degrees of elastic recovery of P(VDF-CTFE) film vary with stretching rates. Among them, the elastic recovery rate of the P(VDF-CTFE) 94/6 film is 46.5% at a stretching rate of 15 mm/min, the dielectric constant is 12.25 at 100 Hz, and the energy density reaches 3.95 J/cm3with the energy loss of 39% at 200 MV/m field.
Novice Use of the Java Programming Language
Authors: Brown Neil C. C. , Weill-Tessier Pierre , Sekula Maksymilian , Costache Alexandra-Lucia , Kölling Michael
Published: August 2022

Objectives.
Java is a popular programming language for use in computing education, but it is difficult to get a wide picture of the issues that it presents for novices; most studies look only at the types or frequency of errors. In this observational study, we aim to learn how novices use different features of the Java language.

Participants.
Users of the BlueJ development environment have been invited to opt in to anonymously record their activity data for the past 8 years. This dataset is called Blackbox, which was used as the basis for this study. BlueJ users are mostly novice programmers, predominantly male, with a median age of 16 years. Our data subset featured approximately 225,000 participants from around the world.

Study Methods.
We performed a secondary data analysis that used data from the Blackbox dataset. We examined over 320,000 Java projects collected over the course of 8 years and used source code analysis to investigate the prevalence of various specifically selected Java programming usage patterns. As this was an observational study without specific hypotheses, we did not use significance tests. Instead, we present the results themselves with commentary, having applied seasonal trend decomposition to the data.

Findings.
We found many long-term trends in the data over the course of the 8 years, most of which were monotonic. There was a notable reduction in the use of the main method (common in Java but unnecessary in BlueJ) and a general reduction in the complexity of the projects. We find that there is only a small number of frequently used types: int, String, double, and Boolean, but also a wide range of other infrequently used types.

Conclusions.
We find that programming usage patterns gradually change over a long period of time (a period in which the Java language was not seeing major changes) once seasonal patterns are accounted for. Any changes are likely driven by instructors and the changing demographics of programming novices. The novices use a relatively restricted subset of Java, which implies that designers of languages specifically targeted at novices can satisfy their needs with a smaller set of language constructs and features. We provide detailed recommendations for the designers of educational programming languages and supporting development tools.
Toward Software-like Debugging for FPGAs via Checkpointing and Transaction-based Co-Simulation
Authors: Attia Sameh , Betz Vaughn
Published: August 2022

Checkpoint-based debugging flows have recently been developed that allow the user to move the design state back and forth between an FPGA and a simulator. They provide a softwarelike debugging experience by combining the speed of hardware execution and the full visibility of simulation. However, they assume the entire system state can be moved to a simulator, limiting them to self-contained systems. In this article, we present StateLink, a transaction-based co-simulation framework that allows part of the system (the task) to run in a simulator and still interact with other system components that reside in hardware. StateLink allows tasks to remain connected to and active in the overall hardware system after their state is moved to a simulator. This extends the functionality of checkpoint-based debugging frameworks to designs with external I/Os and significantly speeds up the simulation of tasks that are part of a large system. StateLink typically adds no timing overhead and a modest hardware area overhead. The total area overhead of using the proposed flow on a Memcached system is only 13%. This flow allows the user to benefit from both the hardware speedup of ∼1M× and the StateLink speedup of up to 44× versus full system simulation.
Grassy Ecosystems in the Anthropocene
Authors: Stevens Nicola , Bond William , Feurdean Angelica , Lehmann Caroline E.R.
Published: August 2022

As the Anthropocene advances, there are few parts of Earth that have not been impacted by human influence. Humans have had a long-sustained interaction with grassy ecosystems, but they are becoming severely impacted by direct and indirect impacts as the Anthropocene advances. Grassy ecosystems are easy to clear and cultivate, poorly protected, and poorly defined due to legacies of colonial narratives that can describe them as deforested, wastelands, or derived. Climate change, land conversion, and the erosion of the processes that have shaped grassy ecosystems for millennia have had cascading and cumulative impacts on grassy ecosystem extent and integrity. We examine how these changes are impacting grassy ecosystems, more specifically, those that fall into ecosystem uncertain space—a climate envelope where vegetation is not at equilibrium with climate and either grassy or forest ecosystems can occur. It is within this space that climate, CO2, and disturbances (fire, herbivores) interact to determine the presence of grassy ecosystems. Changes to any of these components reduce the integrity of grassyecosystems. The loss of these ancient biodiverse ecosystems means loss of an array of ecosystem services fundamental to the lives of more than 1 billion people alongside Earth-system impacts of altered albedo, carbon, and hydrological cycles.
Post-COVID-19 Condition
Authors: Nalbandian Ani , Desai Amar D. , Wan Elaine Y.
Published: August 2022

An estimated 10–15% of those infected with SARS-CoV-2 may have post-COVID-19 condition. Common lingering signs and symptoms include shortness of breath, fatigue, high heart rate, and memory and cognitive dysfunction even several months after infection, often impacting survivors’ quality of life. The prevalence and duration of individual symptoms remain difficult to ascertain due to the lack of standardized research methods across various studies and limited patient follow-up in clinical studies. Nonetheless, data indicate post-COVID-19 condition may occur independent of acuity of initial infection, hospitalization status, age, or pre-existing comorbidities. Risk factors may include female sex and underlying respiratory or psychiatric disease. Supportive therapies to mitigate symptoms remain the mainstay of treatment. Reassuringly, most patients experience a reduction in symptoms by 1 year. The use of a universal case definition and shared research methods will allow for further clarity regarding the pervasiveness of this entity and its long-term health consequences.
Review—Combining Experimental and Engineering Aspects of Catalyst Design for Photoelectrochemical Water Splitting
Authors: Sharma Chhavi , D. Pooja , Thakur Anupma , Negi Y. S.
Published: August 2022

Hydrogen is one of the cleanest, most favourable, and most practical energy transferors. However, its efficient generation, storage and transportation are still a challenge. There are various routes available toward greener hydrogen. Solar-driven splitting is considered a cleaner method with no harmful emission and viability of up-scaling. Various semiconductors were studied for photo-electrochemical catalysis to improve overall efficiency of the system (i.e. Solar-to-Hydrogen (STH)). The insistence of framing this article is to offer an intense evaluation of scientific and technical aspects of available designing strategies’ for photocatalysts and recent fruitful advancements towards product development. This review might act as a handbook for budding researchers and provide a cutting-edge towards innovative & efficient catalyst designing strategy to improve efficiency for working scientists.
The matricellular protein thrombospondin-1 in lung inflammation and injury
Authors: Tabary Mohammadreza , Gheware Atish , Peñaloza Hernán F. , Lee Janet S.
Published: August 2022

Matricellular proteins comprise a diverse group of molecular entities secreted into the extracellular space. They interact with the extracellular matrix (ECM), integrins, and other cell-surface receptors, and can alter matrix strength, cell attachment to the matrix, and cell-cell adhesion. A founding member of this group is thrombospondin-1 (TSP-1), a high molecular-mass homotrimeric glycoprotein. Given the importance of the matrix and ECM remodeling in the lung following injury, TSP-1 has been implicated in a number of lung pathologies. This review examines the role of TSP-1 as a damage controller in the context of lung inflammation, injury resolution, and repair in noninfectious and infectious models. This review also discusses the potential role of TSP-1 in human diseases as it relates to lung inflammation and injury.
A hydrogen-sulfide derivative of mesalamine reduces the severity of intestinal and lung injury in necrotizing enterocolitis through endothelial nitric oxide synthase
Authors: Hosfield Brian D. , Hunter Chelsea E. , Li Hongge , Drucker Natalie A. , Pecoraro Anthony R. , Manohar Krishna , Shelley W. Christopher , Markel Troy A.
Published: August 2022

Necrotizing enterocolitis (NEC) remains a devastating disease that affects preterm infants. Hydrogen sulfide (H2S) donors have been shown to reduce the severity of NEC, but the optimal compound has yet to be identified. We hypothesized that oral H2S-Mesalamine (ATB-429) would improve outcomes in experimental NEC, and its benefits would be dependent on endothelial nitric oxide synthase (eNOS) pathways. NEC was induced in 5-day-old wild-type (WT) and eNOS knockout (eNOSKO) pups by formula feeding and stress. Four groups were studied in both WT and eNOSKO mice: 1) breastfed controls, 2) NEC, 3) NEC + 50 mg/kg mesalamine, and 4) NEC + 130 mg/kg ATB-429. Mesalamine and ATB-429 doses were equimolar. Pups were monitored for sickness scores and perfusion to the gut was measured by Laser Doppler Imaging (LDI). After euthanasia of the pups, intestine and lung were hematoxylin and eosin-stained and scored for injury in a blind fashion. TLR4 expression was quantified by Western blot and IL-6 expression by ELISA. P < 0.05 was significant. Both WT and eNOSKO breastfed controls underwent normal development and demonstrated milder intestinal and pulmonary injury compared with NEC groups. For the WT groups, ATB-429 significantly improved weight gain, reduced clinical sickness score, and improved perfusion compared with the NEC group. In addition, WT ATB-429 pups had a significantly milder intestinal and pulmonary histologic injury when compared with NEC. ATB-429 attenuated the increase in TLR4 and IL-6 expression in the intestine. When the experiment was repeated in eNOSKO pups, ATB-429 offered no benefit in weight gain, sickness scores, perfusion, intestinal injury, pulmonary injury, or decreasing intestinal inflammatory markers. An H2S derivative of mesalamine improves outcomes in experimental NEC. Protective effects appear to be mediated through eNOS. Further research is warranted to explore whether ATB-429 may be an effective oral therapy to combat NEC.
Performance Analysis of Two-Loop Interleaved Boost Converter Fed PMDC-Motor System Using FLC
Authors: Manikandan C. T. , Sundarrajan G. T. , Gokula Krishnan V. , Ofori Isaac
Published: August 2022

Nowadays, the Permanent Magnet DC (PMDC) motors are intended to achieve the maneuver with elevated exactness and accurateness. To elevate the exactness and accurateness of the Permanent Magnet DC motors, the two-loop Interleaved Boost Converter (ILBC) is intended to control methods. The projected Converter is located between DC load and Permanent Magnet DC motor loads. The united construction of Permanent Magnet DC motors and Interleaved Boost Converter may be miscarried owing to steady state error, speed disparity, and slow response. To condense the difficulties, the Fuzzy Logic Controller is intended in the recommended Converter and Permanent Magnet DC motor. This exertion enlightened the modelling, simulation, and relevance of the Interleaved Boost Converter with Permanent Magnet DC motor (ILBC-PMDCM). The recommended technique chief objective aims at upholding the mandatory DC voltage from the input supply voltage with the assistance of Fuzzy Logic Controller. Current mode Fuzzy Logic Controller is proposed in the present work. The objective is to improve small-scale stability of ILBC-PMDCM system. The recommended controller is functioning based on closed-loop alignment. The projected FL controller is simulated and equated with the Proportional Integral (PI) controller in Permanent Magnet DC motor. From the investigation, the projected controller presents the finest outcomes than the Proportional Integral controller. The projected controller has altered benefits such as declined steady state error and enriched time domain response. The hardware outcomes of the projected controller are also presented, which are evaluated against the simulation outcomes.
Clinical Significance of Detection of Peripheral Blood VASP Level in Lung Cancer Patients
Authors: Ma Jin , Zhu Shumin , Chen Zhiqing , Li Xinyuan , Mao Yafei , Tian Xin , Zhao Li , Li Yanming , Li Baoqin , Geng Yulan
Published: August 2022

This paper explores the relationship between the clinical value of vasodilator-stimulated phosphoprotein (VASP) in lung cancer tissue and its diagnosis and severity. Totally 100 patients who were clinically diagnosed with lung cancer from January 2018 to December 2020 were enrolled in our study. They were assigned into two groups according to the presence of lymph node metastasis. The VASP levels were measured by flow cytometry. The correlation between the expression of VASP in tumor tissue and the clinical characteristics and prognosis in patients was analyzed. The diagnostic efficacy of plasma VASP with squamous cell carcinoma antigen (SCC), neuron-specific enolase (NSE), cytokeratin-19 fragment (CYFRA21-1), prosecretin-releasing peptide (proGRP), and lung cancer was analyzed. The results were compared with APACHE III score to evaluate the accuracy of VASP in determining the severity of patients. This paper finds that the value of VASP in the non-lymph node metastasis group was significantly higher than that in the healthy control group, and the VASP level in the lymph node metastasis group was significantly higher than that in the non-lymph node metastasis group and the healthy control group (all

p

values <0.05). The APACHE III score of the lymph node metastasis group was higher than that of the non-lymph node metastasis group (

p

value <0.05). The diagnostic efficacy of VASP is similar to that of SCC, NSE, CYFRA21-1, and proGRP. The plasma VASP value was statistically different in the survival group and the death group, with higher level observed in the death group compared to survival group (all

p

values <0.05). The value of plasma VASP alone and acute physiology and chronic health evaluations III (APACHE III) score for lung cancer mortality was similar (47.06% vs. 52.94%, p value >0.05). Similar accuracy was observed in VASP and APACHE III score in predicting mortality of lung cancer (84.37% vs. 85.77%,

p

value>0.05). This paper concludes that the level of VASP correlates to the severity of the lung cancer and survival of the patients.
XGBoost-Based E-Commerce Customer Loss Prediction
Authors: Gan Lin
Published: August 2022

In recent years, with the rapid development of mobile Internet, more and more industries have begun to adopt mobile Internet technology, provide diversified wireless services, and further expand user activity scenarios. The core of reducing customer loss is to identify potential customers. In order to solve the problem of how to accurately predict the loss of customers, this paper put forward an invented method to verify and compared the model with the customer data of an e-commerce enterprise in China. According to the research results, the improved XGBoost algorithm can effectively reduce the probability of class I errors and has higher accuracy, among which the accuracy has increased by 2.8%. The prediction effect of customer groups after segmentation was better than that before segmentation, in which the probability of the occurrence of class I errors in the prediction of core value customers decreases by 10.8% and the accuracy rate increases by 7.8%. Compared with other classification algorithms, the improved XGBoost algorithm had a significant improvement in AUC value accuracy rate and other indicators. This fully shows that the XGBoost algorithm can effectively predict the loss of e-commerce customers and then provide decision-making reference for the customer service strategy of e-commerce enterprises.
Magnitude of Malaria-Typhoid Fever Coinfection in Febrile Patients at Arba Minch General Hospital in Southern Ethiopia
Authors: Batire Sifray , Yohanes Tsegaye , Tadesse Dagimawie , Woldemariam Melat , Tariku Befikadu , Sanbeto Zebenay , Dale Debalke , Alelign Dagninet
Published: August 2022

Background. Coinfection with malaria and typhoid fever is a major public health issue in developing countries. In endemic areas, including Ethiopia, people are at risk of acquiring both malaria and typhoid fever at the same time. Therefore, this study aimed to determine the magnitude of malaria-typhoid fever coinfection in febrile patients attending hospital at Southern Ethiopia. Methods. A hospital-based cross-sectional study was carried out on 416 febrile patients attending Arba Minch General Hospital from 1st October to 30th December 2021. The data was collected using a pretested structured questionnaire. Capillary and Venus blood samples were collected for assessing malaria and typhoid fever, respectively. Blood smear, culture, and biochemical tests were performed based on standard parasitological and microbiological methods. The

P

-value ≤ 0.05 was considered statistically significant. Results. The magnitude of malaria, typhoid fever, and their coinfections was 26.2% (109/416), 6.5% (27/416), and 3.1% (13/416), respectively. Among the confirmed malaria cases, about 66% of infections were Plasmodium falciparum. The malaria-typhoid fever coinfection showed a statistically significant association with a clinical presentation of a continuous pattern of fever (AOR = 5.84; 95% CI: 1.44–23.71,

P
=
0.014

) and chills (AOR = 3.94; 95% CI: 1.04–14.89,

P
=
0.044

). About 29.6% of Salmonella isolates were multidrug-resistant (MDR). Conclusion. The total rate of coinfection with malaria and typhoid fever was comparable to that of previous studies. With the consideration of higher prevalence of drug resistance of Salmonella spp. and higher prevalence of malaria‐typhoid fever coinfection, proper diagnostic procedure should be implemented for proper use of drugs.
A Multiobjective Mathematical Model for Truck Scheduling Problem in Multidoor Cross‐Docking System
Authors: Taghizadeh Mahziar , Shojaie Amir Abbas , Sarfaraz Amir Homayoun , Raissi Sadigh
Published: August 2022

Cross‐docking is the main operation of unloading products from incoming trucks, regrouping products in relation to their destination, and loading directly onto shipping trucks, reducing warehousing, picking, transportation costs, and delivery times. This is the intended logistics technology. In this paper, we present a new bi‐objective mixed‐integer mathematical model for truck scheduling problems in cross‐docking systems. The goal of the proposed mixed‐integer mathematical model is to minimize the total operation time (makespan) and cost of moving cargo within the terminal. The performance of the proposed model is compared with that of the available model to solve small instances. The results showed that in solving small size of problem, the proposed model in this study is more efficient and we found better solutions. An evolutionary algorithm called the nondominated sorting genetic algorithm (NSGA‐II) has been proposed to solve larger instances due to computational complexity. To evaluate the proposed algorithm, a comparative analysis of benchmark instances was performed and the efficiency of the above algorithm was compared to the nondominated ranked algorithm (NRGA) based on the index designed in the literature. The statistical hypothesis testing (t‐test) is used for determining the best algorithm based on the average runtime and average number of Pareto solutions. Using the Taguchi method, the proposed algorithms are tuned. Considering a temporary storage space and the multiple receiving and shipping docks is the main contribution of the paper. Finally, for evaluating algorithms, multicriteria decision‐making (MCDM) technique and statistical method are used. The results show the suitable performance of presented model.
Analysis of AI MT Based on Fuzzy Algorithm
Authors: Yang Shuhan , Jia Jihan
Published: August 2022

The advancement of artificial intelligence technology is highly dependent on advancements in computer technology. The former created the technology for the latter. In the near future, we believe computer artificial intelligence technology will be further developed and better serve people. In other words, the data or note producer will edit the bridge segments with prominent contradictions in each program and broadcast them through the network with the titles that people are interested in, which has gotten a lot of attention and comments. This paper investigates a new fuzzy evaluation model by starting with the current situation. This paper investigates fuzzy algorithm-based artificial intelligence machine translation. The order of machine translation follows the trend in the figure, whereas the distribution of HEMTM machine translation is more concentrated under the HEMTM model. The average reliability ratio of the data mining algorithm is 0.97, the average reliability ratio of the decision tree algorithm is 0.84, the average reliability ratio of the machine learning algorithm is 0.71, and the average reliability ratio of the fuzzy algorithm is 1.34 when the vocabulary index is 15. The proportion of fuzzy algorithms in this paper is the highest of the four algorithms. It can be transformed into the contraction of frequency-domain coefficients in artificial intelligence machine translation using a fuzzy algorithm, greatly simplifying the operation. However, it will cause the ringing effect of fuzzy algorithm boundary in machine translation because it cannot well express the singular information of signals such as boundary. The extent of this effect is determined by the artificial intelligence machine translation breadth.
A Study of English Translation Theory Based on Multivariate Statistical Analysis of Random Matrix
Authors: Li Yongfang
Published: August 2022

With the continuous advancement of artificial intelligence in natural language processing technology, machine translation based on machine learning technology has been fully transformed from traditional machine translation methods to neural network machine translation methods. In particular, the tremendous development of large families has made data-driven a reality. With deep learning as the research and design background, the neural network structure of random matrix multivariate statistical analysis is designed according to the language characteristics of English. The model was tested on a Chinese-English panning model, and the optimal model fused with a Bleu value of 39.53. The model results were applied to a real system to achieve language detection, multidirectional language translation, and manual correction of results to be able to learn long dependencies and overcome the limitations of recurrent neural networks to translate long sentences more fluently.
[Retracted] Meta‐Analysis of the Effect of Dietary Care on Nausea and Vomiting in Oncology Chemotherapy Patients
Authors: He Jing , Xiong Ying , Mo Dong , Tang Min
Published: August 2022

Objective. To evaluate the effect of dietary care on chemotherapy‐induced nausea and vomiting in oncology patients. Methods. A retrospective analysis of digestive symptoms was conducted in cancer patients admitted to our hospital, who received chemotherapy, and corresponding effective dietary care countermeasures were adopted. Results. After the nursing intervention, the incidence of digestive symptoms was significantly reduced, the quality of life was significantly improved (59.92 ± 6.57) vs. (37.95 ± 7.50), and the nursing satisfaction was significantly higher (91.67% vs. 69.44%), with statistically significant differences (P < 0.05). Meta‐analysis showed that short‐term (0 to 3 months) dietary care could alleviate nausea and vomiting symptoms in chemotherapy patients (P < 0.001) and improve the survival quality of oncology patients (P < 0.01). The effect of long‐term (3–6 months) dietary care on the control of nausea and vomiting symptoms in chemotherapy patients was certain (P < 0.05), but the effect on the improvement of their quality of life (P > 0.05) was unclear. Conclusion. Dietary care can alleviate the symptoms of nausea and vomiting in tumor chemotherapy patients and improve the quality of life of short‐term chemotherapy tumor patients, so it can be recommended to strengthen the dietary management for tumor patients receiving chemotherapy. Patients receiving chemotherapy should be given corresponding dietary nutritional care according to their clinical symptoms in order to alleviate their adverse reactions, enhance their own immunity, and improve the prognosis of cancer patients.
[Retracted] Problems and Measures of Traditional Culture Education and Mental Health Education in Colleges and Universities under the New Media Environment
Authors: Zheng Xiang , Bao Junxiao , Wang Jinli
Published: August 2022

The rapid development of information technology affects people’s living habits. The new media based on information technology not only makes the traditional media suffer a serious impact but also breaks the constraints of traditional education methods. The orderly development of traditional culture education and mental health education activities in colleges and universities can play an important role in optimizing the ideological and cultural concepts and adjusting the psychological state of college students. It provides support and guarantees for college students to form scientific, cultural understanding concepts and good psychological quality. The gradual maturity of new media information transmission and distribution technology has profoundly influenced and changed the traditional cultural knowledge and mental health teaching work in colleges and universities, which has caused an extremely far‐reaching real impact. This paper analyzes the problems of the traditional culture education and mental health education in colleges and universities under the new media environment. Then, the influence of new media on college students’ traditional culture education and mental health education and its reasons are analyzed, and the corresponding countermeasures are put forward.
Design and Research of VR Basketball Teaching System Based on Embedded Intelligent Sensor
Authors: Jiang Jinxin , Wu Shoujiang , Zhang Siyu
Published: August 2022

Physical education pedagogy serves as a carrier of physical education theory and practical activities and plays an important role in physical education. The reform and development of education are always related closely to the growth of scientific and technological development, and people’s physical education training methods are also undergoing subtle changes. The traditional single and formulaic training methods in the past have gradually turned to modern training methods with better interaction and visibility. All of this prompts people to have new requirements on sports training concepts and training modes. On this basis, teachers can conduct virtual teaching in a more interactive, more involved, and orderly manner in the virtual classroom. This paper constructs the implementation framework of VR basketball teaching auxiliary training, divides students into an experimental group and a control group and tests the physical fitness of students before and after the experiment. The students’ basic basketball skills were tested by using embedded intelligent sensors to recognize the students’ movements. The experimental results showed that after the test, the four basic basketball skills scores of the students in the experimental group were 68.78, 74.02, 73.13, and 72.34, respectively. The virtual reality basketball teaching system designed in this paper can effectively improve the basketball level of students.
Effects of the Concept of Fast-Track Surgery Combined with Empathic Nursing on Perioperative Complication Prevention and Postoperative Recovery of Gynecological Malignant Tumor Patients
Authors: Duan Xiaoyan , Liu Miaomiao , Wang Pei
Published: August 2022

Objective. This study is aimed at exploring the effects of the concept of fast-track surgery (FTS) combined with empathic nursing on perioperative complication prevention and postoperative recovery of gynecological malignant tumor patients. Methods. A total of 180 patients with gynecological malignant tumor treated by surgery in our hospital from September 2018 to October 2021 were randomly divided into three groups: group A, group B, and group C, with 60 patients in each group. Group C was given conventional nursing intervention, group B was given FTS intervention, and group A was given FTS intervention combined with empathic care. Psychological stress state (systolic blood pressure, diastolic blood pressure, and heart rate), postoperative recovery indicators (time of first anal exhaust, time of first defecation, time of getting out of bed, and length of postoperative hospital stay), postoperative complications, and psychological state (Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS)) levels of patients in the three groups were compared. Results. Systolic blood pressure, diastolic blood pressure, and heart rate in group A were lower than those in group B, and those in group B were lower than those in group C (all

P
<
0.05

). The time of first anal exhaust, time of first defecation, time of getting out of bed, and postoperative hospital stay in groups A and B were shorter than those in group C (all

P
<
0.05

).The incidence of postoperative complications in groups A and B was 8.33% and 8.33%, respectively, lower than 23.33% in group C (both

P
<
0.05

). SAS and SDS scores of group A were lower than those of groups B and C after intervention (all

P
<
0.05

). Conclusion. The concept of FTS combined with empathic nursing is beneficial to reduce the stress response of patients with gynecological malignant tumor before surgery, reduce the risk of postoperative complications, improve patients’ mood, and speed up the rehabilitation process of patients.
Application of Mesoporous Silica Nanoparticle-Chitosan-Loaded BMP-2 in the Repair of Bone Defect in Chronic Osteomyelitis
Authors: Yi Min , Nie Yu , Zhang Chengyun , Shen Bin
Published: August 2022

In order to test the effectiveness of nanoparticle- (NP-) loaded bone morphogenetic protein 2 (BMP-2) in chronic osteomyelitis (CO) complicated with bone defect, a new nanodrug delivery system composed of mesoporous silica NP (MSN) and chitosan were used to load BMP-2 and transfer it to the target region. Bone marrow mesenchymal stem cells (BMSCs) were purchased and cultivated to detect the osteogenesis of chitosan-MSN (Chi-MSN) and polylactic acid glycolic acid (PLGA) delivery system. In addition, the osteogenesis of Chi-MSN was further determined by constructing a bone defect mouse model. In physicochemical property test, we found Chi-MSN NPs could effectively maintain stability in vivo and had pH response characteristics. As a result, the release efficiency of dexamethasone (Dex) and BMP-2 in the environment with pH 7.4 was less, while it increased significantly in pH 6, so as to reduce the BMP-2 and Dex loss during transportation in vivo. Otherwise, we found that the permeation efficiency of Chi-MSN was significantly higher than that of PLGA delivery system, so as to effectively transport BMP-2 and Dex to action target. In the BMSC test, we found that Chi-MSN could better promote their activity and osteogenesis, and the expression of osteogenesis-related genes (runt-related transcription factor 2 (RUNX-2), osteopontine (OPN), alkaline phosphatase (ALP), and osteopontine (OCN)) in the Chi-MSN group was higher. In the bone defect mouse model test, we also found obviously increased bone trabecula number and thickness by Chi-MSN, contributing to better repair of bone defects. Therefore, BMP-2@Chi-MSN may be a better choice for the therapy of CO complicated with bone defect in the future.
Weakly Coupled Systems of Semilinear Damped Waves with Different Scale‐Invariant Time‐Dependent Dissipation Terms
Authors: Mohammed Djaouti Abdelhamid
Published: August 2022

In this paper, our interest is the global existence of small data solutions to the Cauchy problem for weakly coupled systems of semilinear damped waves with different scale‐invariant dissipation terms, where the data are supposed to belong to different classes of regularity and different power nonlinearities.
A Novel, Low-Cost Glaucoma Calculator to Identify Glaucoma Patients and Stratify Management
Authors: Laroche Daniel , Rickford Kara , Mike Elise V. , Hunter Liane , Ede Ezekiel , Ng Chester , Douglas John
Published: August 2022

Glaucoma is a leading cause of preventable blindness globally. Nearly, half of the patients who have glaucoma in the United States are unaware of their diagnosis, and this number is far greater in resource poor areas. The risk of progressive and irreversible loss of vision is decreased with an early diagnosis, and better access to treatment is vital to improve the visual outcome for patients. We therefore postulated that a minimally invasive, low-cost calculator used to predict the risk of glaucoma and inform the course of follow-up care will improve patient prognosis. We retrospectively examined data from 104 eyes of patients who underwent a complete ocular examination, visual field, and corneal pachymetry at Advanced Eye Care of New York (54 with glaucoma and 50 controls). Receiver operating curves (ROC) were utilized to determine the correct glaucoma classification rates of the Laroche glaucoma calculator (Range −3 to 18), a novel tool that combines age, intraocular pressure (IOP), and central corneal thickness (CCT) into a composite metric. Additionally, we compared the discriminatory power of this calculator to age, intraocular pressure (IOP), and central corneal thickness (CCT) separately. A score of greater than or equal to 6 on the Laroche glaucoma calculator (sensitivity 90.74%, specificity 64.00%, correct classification 77.88%) optimizes the accuracy of this tool. Compared to IOP (Area Under the Curve (AUC) = 0.72, chi2 = 4.21,

p
=
0.04

) and CCT (AUC = 0.53), chi2 24.72

p
<
0.001

), the Laroche glaucoma calculator (AUC = 0.81) was significantly better at discriminating against glaucoma patients vs. controls. These results demonstrate that the Laroche calculator is a novel, effective tool for identifying glaucoma, and it may provide a low-cost risk stratification tool, particularly in areas with limited resources.