bluuebunny/crossref_metadata_2025 huggingface dataset:
RNN-DBSVM: Optimal Recurrent Neural Network Density Based Support Vector Machine
Authors: El Moutaouakil Karim , Elouissari Abdellatif , Olaru Adrian , Palade Vasile , Ciorei Mihaela
Published: July 2023

When implementing SVMs, two major problems are encountered: (a) the number of local minima increases exponentially with the number of samples and (b) the quantity of required computer storage, required for a regular quadratic programming solver, increases by an exponential mag-nitude as the problem size expands. The Kernel-Adatron family of algorithms gaining attention lately which has allowed it to handle very large classification and regression problems. Howev-er, these methods treat different types of samples (Noise, border, and core) in the same manner, which causes searches in unpromising areas and increases the number of iterations. In this work, we introduce a hybrid method to overcome these shortcomings, namely Optimal Recurrent Neu-ral Network Density Based Support Vector Machine (Opt-RNN-DBSVM). This method consists of four steps: (a) characterization of different samples, (b) elimination of samples with a low probability of being a support vector, (c) construction of an appropriate recurrent neural network based on an original energy function, and (d) solution of the system of differential equations, managing the dynamics of the RNN, using the Euler-Cauchy method involving an optimal time step. The RNN remembers the regions explored during the search process thanks to its recurrent architecture. We demonstrated that RNN-SVM converges to feasible support vectors and Opt-RNN-DBSVM has a very low time complexity compared to RNN-SVM with constant time step, and KAs-SVM. Several experiments were performed on academic data sets. We used several classification performances measures to compare Opt-RNN-DBSVM to different classification methods and the results obtained show the good performance of the proposed method.
Hotel Comment Emotion Classification Based on the MF-DFA and Partial Differential Equation Classifier
Authors: Duanzhu Sangjie , Wang Jian , Jia Cairang
Published: July 2023

In this paper, we propose a partial differential equation model based on phase-field for sentiment analysis in the field of hotel comment texts. The comment texts are converted into word vectors using the Word2Vec tool, and then we utilize the multifractal detrended fluctuation analysis (MF-DFA) model to extract the generalized Hurst exponent of the word vector time series to achieve dimensionality reduction of the word vector data. The dimensionality reduced data is represented in a two-dimensional computational domain, and the modified Allen-Cahn (AC) function is used to evolve the phase values of the data to obtain a stable nonlinear boundary, thereby achieving automatic classification of hotel comment texts. The experimental results show that the proposed method can effectively classify positive and negative samples and achieve excellent results in classification indicators. We compared our proposed classifier with traditional machine learning models and the results indicate that our method possesses a better performance.
Assessment of Children Suicide Attempts Frequency in the Peripandemic Period
Authors: Wiktor Łukasz , Damps Maria , Tomaszewski Ryszard
Published: July 2023

Objectives: The aim of our study was to evaluate patients after suicide attempts treated at the Department of Trauma Surgery for Children before and after the outbreak of the Covid-19 pandemic.
Material and methods: Retrospective review of the medical database at equal time intervals of 24 months to identify patients treated before and after the COVID-19 was done. Thorough analysis including injury mechanism, medical procedures, history of previous mental disorders or suicidal behavior was performed. Furthermore, results were compared with the Polish police suicide statistics.
Results: Based on our retrospective review we found 4 patients treated in our department before the pandemic and 10 patients treated after COVID-19 outbreak. The group before SARS-Cov-2 era consisted of three girls and one boy with a mean age of 14.97 (12.7-17.6). The group treated in the pandemic crisis consisted of 8 boys and 2 girls, the mean age was 15.49 (10.8-17.2). In the pre-COVID-19 group, 2 out of 4 patients had received psychiatric treatment before, but none had attempted suicide before. In the COVID-19 group, 6 out of 10 patients had previously received psychiatric treatment, moreover 3 of them attempted suicide before. Based on our analysis, the number of individuals who displayed suicidal attempts has raised. Between 2018 and 2021 the largest number of suicides concerned the 13-18 y.o. group, both for the Silesian Voivodeship (H=9.374; p=0.0092) and for the whole country (H= 10.203; p=0.0061).
Conclusions: 1. Results of our study indicate that the pandemic may have caused a wide range of negative mental health consequences for young individuals; 2. During the SARS-Cov-2 era, we observed an alarming 2.5-fold increase in the number of patients treated after suicide attempts at the children's orthopedic trauma department; 3. Suicide attempts in children are often related with high energy trauma.
Dispel the Clouds and See the Sun: Influencing Factors and Multiple Path of User Retention Intention Formation
Authors: Zhang Hongjin , Hu Longying
Published: July 2023

To achieve user retention through multifactor synergy, Internet enterprises must reduce costs and increase efficiency and sustainable development. In response to the dilemma that Internet compa-nies are experiencing increasingly high user acquisition costs and serious user churn, this paper uses a sample of 46,695 user reviews of nine product series from Xiaomi Ecological Chain. Case studies and qualitative comparative analysis are used to explore the influence mechanisms of quality of experience, brand trust, and brand attachment on users' retention intentions. Our find-ings are as follows. (1) Brand attachment alone is not necessary for high user retention intention, but user perception, cognition, and brand trust are necessary. (2) Quality of experience positively impacts brand trust, attachment, and user retention intention. Therefore, improving user perception and cognition is critical in generating high user retention intention. (3) Five configuration paths can achieve high user retention intention, three configuration paths lead to low user retention intention, and there is an asymmetric relationship between these paths. Among them, the role of quality of experience-driven configuration paths in generating user retention intention is the most prominent. (4) In the substitution relationship between configuration paths, user perception, and cognition can substitute with brand trust and attachment. Our findings have important theoretical and practical implications for revealing the realization paths of high user retention intention in Internet companies and provide a new perspective for future research.
Reforming of CH4 and Hydrogen Storage by Reactions With MgH2-12Ni
Authors: Kwak YoungJun , Song MyoungYoup , Lee Ki-Tae
Published: July 2023

A new study for CH4 reforming to hydrogen and hydrogen storage was performed using magnesium-based alloy. MgH2-12Ni (with the composition of 88 wt% MgH2 + 12 wt% Ni) was prepared in a planetary ball mill by milling in hydrogen atmosphere (reaction-involved milling). X-ray diffraction (XRD) analyses were performed for the samples after reaction-involved milling and after reactions with CH4. The variation of adsorbed or desorbed gas with time was measured by a Sieverts’ type high-pressure apparatus at 773 K. The microstructures of the powders were observed using scanning transmission microscope (STEM) with energy-dispersive X-ray spectroscopy (EDS). The synthesized samples were also characterized using Fourier Transform Infrared (FT-IR) spectroscopy. XRD pattern of MgH2-12Ni after reaction with CH4 of 12 bar at 773 K and decomposition under 1.0 bar at 773 K exhibited phases of MgH2 and Mg2NiH4. This shows that reforming of CH4 was occurred, hydrogen produced after reforming of CH4 was then adsorbed on the particles, and hydrides were formed during cooling to room temperature. Ni and Mg2Ni formed during heating up to 773 K are believed to have brought about catalytic effects for reforming CH4. MgH2-12Ni adsorbed 0.8 wt% reformed CH4 within 1 min in a reaction with CH4 of 12 bar at 773 K and then desorbed 0.8 wt% reformed CH4 (hydrogen-containing mixture) within 1 min under 1 bar at 773 K. Attenuated total reflectance FT-IR spectroscopy (ATR-FTIR) spectra of MgH2-12Ni after reactions under 12 bar CH4 at 723 K and 773 K showed peaks of C-H bending, C=C stretching, O-H stretching, O-H bending, and C-O stretching.
Growth Performance, Nutrient Composition, Ruminal Microbiota, and Fermentation In Vivo and In Vitro Associated with Endoparasites of Lambs
Authors: Mikulová Klára , Petrič Daniel , Komáromyová Michaela , Batťányi Dominika , Kozłowska Martyna , Cieslak Adam , Ślusarczyk Sylwester , Várady Marián , Váradyová Zora
Published: July 2023

We conducted an experiment on lambs to determine the effect of infection with the gastrointestinal nematode (GIN) Haemonchus contortus on growth performance, nutrient composition, microbiota, and ruminal fermentation in vivo and in vitro. Twelve female lambs were equally divided into two groups: uninfected animals (CON) and animals infected with approximately 5000 third-stage ISE larvae derived from the MHCo1 strain of H. contortus (INF). Two lambs per group were killed on days 48, 49, and 50 after infection and ruminal content was collected separately from each lamb. Batch cultures of ruminal fluid from CON and INF were incubated in vitro with 0.25 g meadow hay, a plant mixture and chicory used as substrates. The ruminal populations of protozoa, bacteria, total Archaea, and the archaean orders Methanobacteriales and Methanomicrobiales were significantly higher in INF than CON. In vivo concentrations of n-butyrate, iso-butyrate, and iso-valerate were significantly lower in INF than CON. In vitro values after 24 h of ruminal fermentation varied within the substrate. GIN infection by H. contortus was associated with increased methanogenesis. In conclusion, chicory was a promising substrate for mitigating methane production and may modulate the ruminal microbiome of GIN-infected lambs due to its chemical and phytochemical composition.
Determination of Crop Soil Quality for Stevia Rebaudiana Bertoni Morita II Using a Fuzzy Logic Model and a Wireless Sensor Network
Authors: Vejar-Cortés Angel-Primitivo , García-Díaz Noel , Soriano-Equigua Leonel , Ruiz-Tadeo Ana-Claudia , Alvárez-Flores José-Luis
Published: July 2023

Stevia Rebaudiana Bertoni Morita II, a perennial plant native to Paraguay and Brazil, is also widely cultivated in the state of Colima, Mexico, for its use as a sweetener in food and beverages. The op-timization of soil parameters is crucial for maximizing biomass production and stevioside levels in stevia crops. This research presents the development and implementation of a monitoring system to track essential soil parameters, including pH, temperature, humidity, electrical conductivity, ni-trogen, phosphorus, and potassium. The system employs a wireless sensor network to collect qua-si-real-time data, which is transmitted and stored in a web-based platform. A Mamdani-type fuzzy logic model is utilized to process the collected data and provide to farmers an integrated assessment of soil quality. By comparing the quality data output of the fuzzy logic model with a line-ar-regression model, the system demonstrated acceptable performance, with a determination coef-ficient of 0.532 for random data and 0.906 for gathered measurements. The system enables farmers to gain insights into the soil quality of their stevia crops and empowers them to take preventive and corrective actions to improve the soil quality specifically for stevia crops.
The First Case of Zika Virus Disease in Guinea: Description, Virus Isolation, Sequencing and Seroprevalence in Local Population
Authors: Bayandin Roman , Makenov Marat T. , Boumbaly Sanaba , Stukolova Olga A. , Gladysheva Anastasia V. , Shipovalov Andrey V. , Skarnovich Maksim O. , Camara Ousmane , Toure Aboubacar Hady , Svyatchenko Victor A. , Shvalov Alexander N. , Ternovoi Vladimir A. , Boiro Mamadou Y. , Agafonov Alexander P. , Karan Lyudmila S.
Published: July 2023

Zika virus (ZIKV) is a widespread mosquito-borne pathogen. Phylogenetically, two lineages of the ZIKV are distinguished: African and Asian-American. The latter became the cause of the 2015-2016 pandemic with severe defeat to newborns. In West African countries the African lineage has been found, but there is evidence of the emergence of Asian-American lineage in Cape Verde and Angola. This highlights the need not only to monitor the ZIKV, but also to sequence the isolates. In this article, we present a case report of Zika fever in a pregnant woman from Guinea, identified in 2018. Viral RNA was detected by qRT-PCR in serum sample. In addition, seroconversion of anti-Zika IgM and IgG antibodies was detected in repeated blood samples. Subsequently, the virus was isolated in C6/36 cell line. The detected ZIKV belonged to the African lineage, the Nigerian sublineage. The strains with the closest sequences were isolated from mosquitoes in Senegal in 2011 and 2015. In addition, we conducted serological screening of 116 blood samples collected from patients presenting to the hospital of Faranah with fevers during the period 2018-2021. As a result, it was found that IgM-positive patients occurred each year, seroprevalence varied between 5.6% and 17.1%.
Investigating the Effectiveness of Mindfulness-Based Stress Reduction on Mental Health, Mindfulness, and Sleep Quality in Post COVID Period
Authors: Forouzi Mansooreh Azizzadeh , Baghbani Fahimeh , Arashlouei Azam Zare , Nataj Abolfazl Hossein , Pooredalati Malihe , Khajooi Fatemeh , Pourafrouz Elham , Ahmadi Atefeh , Arabfaridy Vahideh
Published: July 2023

(1) Background: COVID-19 had devastating effects on both physical and mental well-being, prompting the need for interventions. This study aimed to explore the impact of mindfulness-based stress reduction on mental health, mindfulness, and sleep disorders in COVID-19 survivors.; (2) Methods: In this interventional parallel study, the sample was selected university students in nursing and midwifery faculties using total population sampling. The intervention included providing counseling on mindfulness methods by trained experts. General health, mindfulness and sleep quality questionnaires were used for data collection. Data were analyzed using SPSS22, descriptive and interferential statistic. A significance level of 0.05 was considered; (3) Results: In this study, the mean age of the students was 20.29 ± 2.03 years. 69.5% of the participants were female and 96% were single. 71.3% were studying nursing and 67% had a history of Corona infection. The intervention was only effective on general health questionnaire and the mean score of this questionnaire was 1.7 higher than the control group; (4) Conclusions: the study indicated that MBSR intervention improves mindfulness, mental health, and sleep quality in COVID-19 survivors. Regular assessment and use of this intervention can help address long-term challenges and improve overall well-being.
Vernal Pool Amphibian Inventories in Temperate Forests of Eastern North America: Can Environmental DNA Replace Traditional Methods?
Authors: Postaire Bautisse , Dupuch Angélique , Ladent Emilie , Surget-Groba Yann
Published: July 2023

Amphibian populations have been globally declining since at least 1990. In temperate forests of eastern North America, vernal pools offer important breeding habitats to many amphibians but are usually not considered for forest management because of their small size and temporary status. Effective monitoring and management of amphibians rely on accurate knowledge of their spatiotemporal distributions, which is expensive to collect due to the amount of fieldwork re-quired. In this study, we tested whether eDNA metabarcoding could identify the same amphibian communities as traditional inventory protocols. We collected eDNA samples in twelve vernal pools in the spring of 2019 and identified their communities by metabarcoding. At each pool, three traditional amphibian inventory methods were used in May and June 2019: call surveys using acoustic recorders, trapping, and active search surveys. In total, 13 amphibian species were detected, most of them being detected by both eDNA and traditional methods. We found that species ecology and behavior are key factors of its detectability by a specific method. As eDNA metabarcoding is comparatively inexpensive and presents a higher repeatability, we conclude that eDNA sampling should be considered for integration as a standard monitoring tool, after an initial assessment of amphibian diversity.
Clinical Application of a Patient-Specific 3D Printed Medical Device: Surgical Planning and Finite Element Analysis of Cranial Implant Manufactured With PMMA and PEEK
Authors: Moncayo-Matute Freddy Patricio , Vázquez-Silva Efrén , Peña-Tapia Pablo Gerardo , Torres-Jara Paúl Bolívar , Moya-Loaiza Diana Patricia , Viloria-Ávila Tony Jesús
Published: July 2023

The article reports on a patient who required a cranial protection system.Using additive
manufacturing techniques and surgical planning with the help of bio-models, a patient-specific bone
implant solution was proposed that allows aesthetic restoration of the affected area and provides
an adequate level of protection. In addition, through a comparative analysis with finite elements,
the mechanical response to external actions of the medical device, printed with two materials:
polymethylmethacrylate (PMMA) and polyether-ether-ketone (PEEK), is simulated. The tested
materials have recognized biocompatibility properties, but their costs on the market differ significantly.
The results obtained demonstrate the similarities in the responses of both materials. It offers the
possibility that low-income people can access these devices, guaranteeing adequate biomechanical
safety, considering that PMMA is a much cheaper material than PEEK.
Distributed Subgraph Query Processing Using Filtering Scores on Spark
Authors: Bok Kyoungsoo , Kim Minyoung , Lee Hyeonbyeong , Choi Dojin , Lim Jongtae , Yoo Jaesoo
Published: July 2023

As various services have been generating large scale graphs to represent multiple relationships between objects, studies have been conducted to obtain subgraphs with particular patterns. In this paper, we propose a distributed query processing method to efficiently search a subgraph for a large graph on Spark. To reduce unnecessary processing costs, the search order is determined by filtering scores using the probability distribution. The partitioned queries are searched in parallel in the distributed graph of each slave node according to the search order, and the local search results obtained from each slave node are combined and returned. The query is partitioned in triplets based on the determined search order. The performance of the proposed method is compared with the performance of existing methods to demonstrate its superiority.
Hydrogen Assisted Aging to Storage & Sealing Materials: A Comprehensive Review
Authors: Habib A.K.M. Ahsanul , Sakib Ahmed Nazmus , Mona Zarin Tasnim , Bhuiyan Md Monjur Hossain , Kazempoor Pejman , Siddique Zahed
Published: July 2023

Hydrogen is believed to be the principal domain of sustainable energy drive as an alternative to fossil fuels. Unlike the existing standards and knowledge for other fuels, the integrity of sealing and storage materials under the hydrogen environment is not comprehensively studied due to the comparatively new technology and lack of standard laboratory protocols. Typically, storage and polymer materials used as sealing experience degradation and damage in different ways over time in the exposure of hydrogen at different operating conditions, called aging. Improved understanding of the physical and chemical mechanism of degradation due to gaseous hydrogen atmosphere; helps to select and develop the materials best suited to carrier and sealing for respective applications. Damage to materials from aging is inevitable in high-pressure hydrogen gas exposure. This review discusses the mechanism of different categories of aging of storage and sealing materials under the hydrogen environment. Also, the article approaches discussing different laboratory test methods for each type of aging simulation. It covers the limitation of current research on determining material integrity through existing techniques of aging experiments and also explores the latest development. Important improvements are suggested in terms of materials development and testing procedures to meet the existing knowledge in the literature.
Graphene-Based PDLC Device Enabled by Water-Induced Interface Cleaning Process
Authors: Kim Eun Mi , Kim Su Jin , Choi Go Bong , Lee Jaegeun , Koo Min Mo , Kim Jaewoong , Kim Young Won , Lee Jongho , Kim Jin Hyeok , Seo Tae Hoon
Published: July 2023

We report the use of four-layer graphene (4LG) as a highly reliable transparent conductive electrode (TCE) for polymer-dispersed liquid crystal (PDLC)-based smart window devices. The adhesion between 4LG and the substrate was successfully improved through a water-induced interface-cleaning (WIIC) process. We compared the performance of a device with a WIIC-processed 4LG electrode with that of devices with a conventional Indium tin oxide (ITO) electrode and a 4LG electrode without a WIIC. With the application of the WIIC process, the PDLC smart window with a 4LG electrode exhibited reduced turn-on voltage and haze compared to 4LG without the WIIC process and characteristics comparable to those of the ITO electrode. Based on our observations, we conclude that 4LG with WIIC is a promising TCE for flexible smart windows.
The role of the communicated treatment rationale on treatment outcome: study protocol for a randomized controlled trial.
Authors: Henrich Liv , Wilhelm Marcel , Lange Philipp , Rief Winfried
Published: July 2023

Background
Placebo effects are a well-established phenomenon in the treatment of depression. However, the mechanism underlying these effects are not fully understood. Treatment expectations are considered one explanation for why placebos work. Treatment expectations are likely to be affected by clinician-patient interactions. This study aims to investigate the role of the communicated treatment rationale in modulating treatment expectations and its effects on the treatment outcomes of a pharmacological and a psychological active placebo intervention for depression. In this study, treatment expectations are modulated by presenting illness models that are either congruent or incongruent with the treatment intervention that follows.
Methods
This 2x2 randomized controlled trial will involve patients with major depression. Participants will either receive a biological or a psychological illness model from a clinician. Following this they are randomly assigned to receive either a pharmacological or a psychological active placebo intervention. The illness model and the treatment are either congruent or incongruent with each other, resulting in four groups. In addition, a natural course control group will be included.
Discussion
This study will provide insights into the mechanism of expectation modulation in active placebo treatments for major depression. The results may provide insights for clinicians to improve their communication with patients by focusing on treatment expectations. By identifying the factors that contribute to placebo effects, this study has the potential to improve the effectiveness of existing depression treatments and reduce the burden of this highly prevalent mental health condition.
Trial registration
This trial has been registered prospectively at clinicaltrials.gov under the identifier: NCT04719663.
Knowledge, Attitudes and Compliance to Infection Control Guidelines in Private Dental Clinics in Israel, a Cross Sectional Survey
Authors: Khubazan Alaa , Nutman Amir
Published: July 2023

Background
Little is known on adherence to infection control in Israeli private dental clinics. This study aimed to investigate the Knowledge, Attitudes, and Adherence to infection prevention and control (IPC) guidelines in private dental clinics in Israel.
Methods
A cross-sectional survey among dentists working in private dental clinics in Israel. Knowledge, Attitudes and Adherence to IPC guidelines were assessed using an online questionnaire sent to the study participants via e-mail, Facebook and other social media platforms. The questionnaire included 49 multiple-choice questions on demographics, Knowledge, Attitudes and Adherence to IPC guidelines. Statistical analysis included descriptive statistics; a composite score for each domain (Knowledge, Attitude and Adherence) was calculated (percentage of correct answers in Knowledge domain, percentage of positive answers ("agree" or "strongly agree") in Attitude domain, and percentage of high adherence ("all the time", "frequently" or "yes") in the Adherence domain). The association between Knowledge and Attitude scores, and Adherence with IPC practices was assessed by chi-square test. Hierarchical multivariable logistic regression was used to adjust for demographic variables.
Results
The questionnaire was sent to 270 dentists and 100 participated in the study (overall response rate of 37%). The majority of participants (63%) had moderate scores in the knowledge domain (scores between 50–70%), 47% had a positive score in the Attitude domain (scores above 80%), and only 41% had a high score in the Adherence to IPC domain (scores above 80%). Compliance with IPC score was highest among participants with a high knowledge score (70.0%), compared to moderate (33.3%) and low (35.3%) scores; and among participants with a positive Attitude score (51.1%), compared to neutral (39.5%) and negative (13.3%) Attitude scores. In the multivariable analysis, Knowledge and Attitude scores were independent predictors of good IPC practice (with an effect size of 0.28).
Conclusions
In this survey, compliance with IPC guidelines among dentists in private clinics in Israel was generally low. We found a positive correlation between Knowledge, Attitude and Adherence to IPC guidelines. Educational programs and courses on IPC are recommended to improve Knowledge and positive Attitudes and thus increase compliance.
The modified cross-suture technique for loop stoma reversal: A single-center randomized controlled study
Authors: Zhang Li-Xiao , Kang Jia-Qi , Ye Zhi-Bin , Zhang Li-Fei , Liang Wei
Published: July 2023

Objective:
To explore the application effect of modified cross-suture technique in loop stoma reversal.
Methods:
From June 2019 to December 2022, patients with loop stoma reversal were divided into observation group (35 cases) and control group (25 cases) according to the numerical random method. According to the different methods of skin suture, the observation group was treated with modified cross-suture technique, and the control group was treated with interrupted suture method. The operation time, intraoperative blood loss, postoperative out-of-bed time, postoperative exhaust time, postoperative eating time, primary healing time, incision infection rate, incision healing time after incision infection, postoperative hospital stay, postoperative early pain score, and overall patient satisfaction score were compared between the two groups.
Results:
There were no significant differences in age, gender, body mass index, American Society of Anesthesiologists, disease history, remission interval, operation time, intraoperative blood loss, and primary healing time between the two groups (P>0.05). The postoperative out-of-bed time, postoperative exhaust time, postoperative eating time, postoperative hospitalization time, hospitalization cost, postoperative early pain score, and incision infection rate in the observation group were all lower than those in the control group (P<0.05). The healing time after incision infection in the observation group was shorter than that in the control group (P<0.05). The overall satisfaction score of patients in the observation group was higher than that in the control group (P<0.05).
Conclusions:
The modified cross-suture technique is a suitable incision treatment method for loop stoma reversal.
Bio-based vanillyl alcohol epoxy thermoset with high mechanical properties and its applications for high- performance natural fiber-reinforced composites
Authors: Kumar Bijender , Adil Samia , Kim Jaehwan
Published: July 2023

With the massive usage of fossil-based resources and net-zero missions, developing bio-based epoxy resin and sustainable composites with excellent comprehensive properties from biomass resources as an alternative to commercial petroleum-based epoxy is still a crucial challenge. Herein, taking advantage of the mono and diepoxy cross-linking network structure, a lignin-derived novel cross-linked vanillyl alcohol epoxy (VAE) thermoset-containing mono and di (m&d) epoxy structure is prepared by the epoxidation of the vanillyl alcohol, followed by curing with hardener. The synthesized m&dVAE containing mono and di-epoxidized (m&d) aromatic rings, when cured with 4, 4´-diaminodiphenyl methane (DDM) hardener, exhibits higher record tensile strength ~ 124.0 ± 8.43 MPa and tensile modulus ~ 2.88 ± 0.35 GPa compared to a commercial petroleum-based epoxy, diglycidyl ether bisphenol A (DGEBA) thermoset. Additionally, it demonstrated higher adhesion shear strength (~ 19.16 ± 0.58 MPa) with cellulose nanofibers film than DGEBA. Further, the synthesized m&dVAE-DDM resins are used for bio-based natural fiber-reinforced composites for the first time. The green composite possesses excellent flexural strength of ~ 203.72 ± 2.08 MPa and stiffness of ~ 11.58 ± 0.38 GPa than the petroleum-based thermoset composite. Moreover, the green composite showed good hydrophobicity and an excellent heat-resistant index of 144.4°C. The m&dVAE resin can be an alternative to petroleum-based resins, and its environment-friendly green composite could be a promising candidate to replace synthetic materials for high-performance structural applications.
Clinical, analytical, imaging and ECG differences in adult patients infected by Borrelia burgdorferi and doubly-infected by Babesia divergens-Borrelia burgdorferi
Authors: Folgueras María , González Luis Miguel , Collazos Julio , Rodríguez-Pérez Mercedes , Pérez-Is Laura , Diaz-Arias Javier , Meana Maria , Revuelta Belen , Montero Estrella , Asensi Victor
Published: July 2023

Differences between double infection by Borrelia burgdorferi-Babesia divergens and Borrelia burgdorferi monoinfection in adult patients have not been reported so far. Both zoonosis, endemic in Northwestern Spain, are transmitted by Ixodes tick bites. Clinical, analytical and other tests (imaging, ECG) characteristics of 120 adult patients with B.burgdorferi infection, of which 47 (39.2%) had B.burgdorferi-B.divergens double infection, diagnosed between 2014–2017, were retrospectively compared. Cardiorespiratory symptoms were reported in 9/47 (19.2%) patients with B.burgdorferi-B.divergens double infection compared to 4/73 (5.5%) patients with B.burgdorferi monoinfection (P = 0.02). Dyspnea was recorded in 4/47 (8.5%) doubly infected compared to 1/73 (1.4%) monoinfected patients (P = 0.07). In addition ECG atrioventricular (AV) block was detected in 5/47 (15.6%) doubly infected compared to 1/73 (2.6%) monoinfected individuals (P = 0.09). No other clinical, laboratory or other tests differences were observed between doubly infected and monoinfected patients. We conclude that doubly infected had more frequently cardiorespiratory symptoms, mostly dyspnea, compared to monoinfected individuals. These symptoms were unrelated to anemia. ECG AV block perhaps induced by summative myocardial damage due to both infections might play some role in the cardiorespiratory dysfunction.
Is Having Your Cell Phone the Key to Happiness, or Does It Really Matter?: Evidence From a Randomized Double-blind Study
Authors: McElroy Todd , Young William
Published: July 2023

Background
Affect can influence people's perceptions, decisions, and the way they make sense of an experience. Some studies show that having one's cell phone removed will lead to negative emotional reactions, while others have found no significant impact on how we feel. In this paper we investigate the impact of cell phone possession and removal on participant’s affective state.
Methods
We use a randomized double-blind procedure to examine whether cell phone removal enhances negativity, promotes positivity, or is emotionally inconsequential. We measure affect using a PANAS self-report scale as well as a less transparent temporal-estimation procedure.
Results
Our findings suggest that cell phone possession or removal has no influence on a person’s affective state.
Conclusions
Measured through both the PANAS self-report scale and an indirect temporal estimation task, affect remained consistent regardless of cell phone possession. These results suggest that cell phones may not carry the emotional weight often attributed to them. This finding challenges a common theme revolving around the negative emotional impact of cell phones and technology. Consequently, these findings may have important implications for restricting cell phone use in today’s world and the generally perceived notion that cell phones are having a negative effect on people’s emotions.
Stability Control Analysis of a Dung Beetle Optimizer-Based PI λ D μ Controller for a Multisource Interlinked Power Grid
Authors: Boopathi D , Jagatheesan K , Khamies Mohamed , Kamel Salah
Published: July 2023

This paper presents a novel approach to enhance the frequency stability of an interlinked power system considering the integration of renewable energy sources and energy storage systems. The proposed method utilizes an optimal fractional Proportional-Integral-Derivative (PID) controller, with its parameters determined by the Dung Beetle Optimizer (DBO). The interlinked power system consists of two areas: Area 1 incorporates Photovoltaic (PV) systems with energy storage units (ESUs), while Area 2 comprises thermal, hydro, nuclear, and ESUs (Hydro Aqua Electrolyser (HAE) and Fuel Cell (FC)). The effectiveness of the proposed controller is validated through a comparison of its performance with other optimization techniques, such as the Ant Lion Optimizer (ALO) and Particle Swarm Optimization (PSO). The comparative analysis demonstrates the superior performance of the DBO, as it exhibits a 25% and 4% improvement in settling time over PSO and ALO, respectively. Overall, the proposed controller proves to be highly capable of enhancing system stability during scenarios involving high renewables penetration and abnormal cases.
Modeling Online Customer Purchase Intention Behavior Applying Different Feature Engineering and Classification Techniques
Authors: Satu Md. Shahriare , Islam Syed Faridul
Published: July 2023

Online shopping, known as e-shopping, has added a new dimension to the business sector. The concept of consumption among customers has changed significantly as a result of the quick growth of computer technology and e-commerce. The purpose of this work is to investigate the outcomes of different machine learning techniques and predict online shoppers’ purchasing intentions from e-commerce sites. In this study, we collected a dataset of online shoppers' purchasing intentions from the University of California Irvine (UCI) data repository. Different feature transformation techniques were employed in the primary dataset and generated transformed datasets. Besides, transformed datasets were balanced and detected outliers from them. Then, we applied different feature selection methods into primary and transformed balanced datasets and again generated several feature subsets. Further, different classifiers were implemented into all of these generated datasets and obtained different outcomes for them. In this work, Random Forest performed the best accuracy of 92.39% for Z-Score and Gain Ratio Attribute Evaluation transformed dataset. In addition, this classifier also provided the highest AUROC of 0.974 for Square Root and Gain Ratio Attribute Evaluation dataset. Therefore, Random Forest is a more stable classifier to predict customer purchase intention than other models.
Orthopantomography Versus Cone Beam Computed Tomography for the
Assessment of the Proximity of Posterior Maxillary Apexes with the Maxillary
Sinus: A Cross-sectional Study
Authors: Rodríguez Macarena , Marshall Maureen , Godoy Constanza , Richa Roxana , Niklander Sven Eric
Published: July 2023

Background:

The lack of knowledge of the relation of the maxillary sinus with the apexes of maxillary posterior teeth can lead to important complications during common dental procedures. This can be avoided using different imaging techniques, such as orthopantomography (OPG) and cone beam computed tomography (CBCT). The present study aims to compare the performance of OPG with CBCT in measuring the vertical distance of the apexes of posterior-superior teeth to the maxillary sinus.

Methods::

This study corresponded to a cross-sectional study. OPGs and CBCT scans were obtained from the same individuals, and the qualitative and quantitative vertical distance of the apexes in relation to the maxillary sinus was categorized and measured in mm.

Results:

A total of 28 pairs of OPGs and CBCT scans from the same patients were obtained. About 381 roots were analysed, which included 89 upper first premolars, 51 upper second premolars, 115 upper first molars, and 126 upper second molars. Projection/protrusion was observed with more frequency in molars, specially 1º molars in both OPG (n= 75, 65.2%) and CBCT (n= 31, 27%); however, 106 more cases (27.9%) were classified as projected in the OPG compared to CBCT (p < 0.05). When comparing the performance of the OPG and CBTC for analysing all roots qualitatively, there was a 57.8% agreement between both techniques. This difference was statistically significant (p <0.0001). Statistically significant differences were also observed when comparing the millimetric differences.

Conclusion:

This study showed that OPG is not an accurate technique to observe the relationship between the maxillary sinus and the apexes of the upper posterior teeth. In those cases where precision is required when performing dental procedures in this area, CBCT should be used. When not available, the clinicians should be aware of the limitations of the OPG and add other complementary techniques.
The Mediating Role of miR-451/ETV4/MMP13 Signaling Axis on Epithelialmesenchymal
Transition in Promoting Non-small Cell Lung Cancer Progression
Authors: Qian Xue-Jiao , Wang Jing-Wen , Liu Jiang-Bo , Yu Xi
Published: July 2023

Background:

Lung cancer is a leading cause of cancer mortality. It is one of the most abundant cancer types clinically, with 2 million new cases diagnosed yearly.

Aims:

Using clinically collected non-small cell lung cancer (NSCLC) samples, we sought to hypothesize an innovative intact signaling cascade for the disorder.

Methods:

We dissected snap-frozen NSCLC tissues along with sibling-paired nearby non-tumorous tissues from 108 NSCLC patients. We measured the expression levels of miR-451/ETV4/MMP13 using qRT-PCR and did a thorough investigation of the molecular mechanism for the signaling axis in NSCLC cell line A549. We also studied the epithelial-mesenchymal transition (EMT) process.

Results:

The activity of miR-451 was significantly decreased in NSCLC tissues, while the expression levels of ETV4 and MMP13 were remarkably increased. At the same time, miR-451 levels maintained a declining trend across TNM stage I–III. Inversely, ETV4 and MMP13 increased as the TNM stage increased. The miR-451/ETV4/MMP13 signaling axis was closely associated with prognosis in NSCLC patients. Based on in vitro experiments, ETV4 was a direct targeting factor for miRNA-451. Meanwhile, ETV4 promoted the tumor properties of NSCLC cells by directly activating MMP13. Silencing MMP13 blocked the EMT progress of NSCLC cells.

Conclusion:

Overall, we hypothesized an impeccable signaling pathway for NSCLC from a new aspect, and this can offer alternative insights for a better understanding of the disorder.
User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study (Preprint)
Authors: Barker Mary M , Chauhan Radhika , Davies Melanie J , Brough Christopher , Northern Alison , Stribling Bernie , Schreder Sally , Khunti Kamlesh , Hadjiconstantinou Michelle
Published: July 2023

BACKGROUND

Digital health interventions have the potential to improve the physical and psychosocial health of people living with type 2 diabetes. However, research investigating the long-term (≥1 year) retention and engagement of users within these programs is limited.

OBJECTIVE

The aim of this study was to evaluate long-term user retention and engagement in the digital-based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) program, using real-world data.

METHODS

Anonymized data from all myDESMOND users who registered with the program on or before November 16, 2020, were included in the analyses. User retention was defined as the period between the day a user registered with the myDESMOND program and their last day of access. The primary engagement outcome was defined as the total number of log-ins to the program per user. The associations between retention, engagement, and sociodemographic factors (age, sex, and ethnicity) were tested using Cox regression models and Wilcoxon rank sum tests.

RESULTS

A total of 9522 myDESMOND users were included in this analysis. Of the 9522 users, 5360 (56.29%) remained on the program for at least a month, whereas 1676 (17.6%) remained on the program for at least 1 year. Retention was significantly higher among older users; the adjusted hazard ratio (representing the risk of users leaving the program within the first year) among users aged ≥50 years, compared with those aged <50 years, was 0.79 (95% CI 0.75-0.84; P<.001). The median number of myDESMOND log-ins per user was 8 (IQR 4-8); however, this was significantly lower among users aged <50 years (P<.001). Engagement metrics also differed according to sociodemographic characteristics; the estimated time spent per log-in was 5.35 (IQR 2.22-11.80) minutes among all users; however, this was significantly higher among female users (P<.001), users aged ≥50 years (P<.001), and users of White ethnicity (P=.02).

CONCLUSIONS

Although retention and engagement of users within myDESMOND were found to be high, these findings highlight the need for age- and culture-specific implementation strategies and content adaptations to improve retention and engagement among all users of self-management programs.
An Artificial Therapist (Manage Your Life Online) to Support the Mental Health of Youth: Co-Design and Case Series (Preprint)
Authors: Wrightson-Hester Aimee-Rose , Anderson Georgia , Dunstan Joel , McEvoy Peter M , Sutton Christopher J , Myers Bronwyn , Egan Sarah , Tai Sara , Johnston-Hollitt Melanie , Chen Wai , Gedeon Tom , Mansell Warren
Published: July 2023

BACKGROUND

The prevalence of child and adolescent mental health issues is increasing faster than the number of services available, leading to a shortfall. Mental health chatbots are a highly scalable method to address this gap. Manage Your Life Online (MYLO) is an artificially intelligent chatbot that emulates the method of levels therapy. Method of levels is a therapy that uses curious questioning to support the sustained awareness and exploration of current problems.

OBJECTIVE

This study aimed to assess the feasibility and acceptability of a co-designed interface for MYLO in young people aged 16 to 24 years with mental health problems.

METHODS

An iterative co-design phase occurred over 4 months, in which feedback was elicited from a group of young people (n=7) with lived experiences of mental health issues. This resulted in the development of a progressive web application version of MYLO that could be used on mobile phones. We conducted a case series to assess the feasibility and acceptability of MYLO in 13 young people over 2 weeks. During this time, the participants tested MYLO and completed surveys including clinical outcomes and acceptability measures. We then conducted focus groups and interviews and used thematic analysis to obtain feedback on MYLO and identify recommendations for further improvements.

RESULTS

Most participants were positive about their experience of using MYLO and would recommend MYLO to others. The participants enjoyed the simplicity of the interface, found it easy to use, and rated it as acceptable using the System Usability Scale. Inspection of the use data found evidence that MYLO can learn and adapt its questioning in response to user input. We found a large effect size for the decrease in participants’ problem-related distress and a medium effect size for the increase in their self-reported tendency to resolve goal conflicts (the proposed mechanism of change) in the testing phase. Some patients also experienced a reliable change in their clinical outcome measures over the 2 weeks.

CONCLUSIONS

We established the feasibility and acceptability of MYLO. The initial outcomes suggest that MYLO has the potential to support the mental health of young people and help them resolve their own problems. We aim to establish whether the use of MYLO leads to a meaningful reduction in participants’ symptoms of depression and anxiety and whether these are maintained over time by conducting a randomized controlled evaluation trial.
The Feasibility and Reliability of Upper Arm–Worn Apple Watch Heart Rate Monitoring for Surgeons During Surgery: Observational Study (Preprint)
Authors: Yamada Kazunosuke , Enokida Yasuaki , Kato Ryuji , Imaizumi Jun , Takada Takahiro , Ojima Hitoshi
Published: July 2023

BACKGROUND

Health care professionals, particularly those in surgical settings, face high stress levels, impacting their well-being. Traditional monitoring methods, like using Holter electrocardiogram monitors, are impractical in the operating room, limiting the assessment of physicians’ health. Wrist-worn heart rate monitors, like the Apple Watch, offer promise but are restricted in surgeries due to sterility issues.

OBJECTIVE

This study aims to assess the feasibility and accuracy of using an upper arm–worn Apple Watch for heart rate monitoring during robotic-assisted surgeries, comparing its performance with that of a wrist-worn device to establish a reliable alternative monitoring site.

METHODS

This study used 2 identical Apple Watch Series 8 devices to monitor the heart rate of surgeons during robotic-assisted surgery. Heart rate data were collected from the wrist-worn and the upper arm–worn devices. Statistical analyses included calculating the mean difference and SD of difference between the 2 devices, constructing Bland-Altman plots, assessing accuracy based on mean absolute error and mean absolute percentage error, and calculating the intraclass correlation coefficient.

RESULTS

The mean absolute errors for the whole group and for participants A, B, C, and D were 3.63, 3.58, 2.70, 3.93, and 4.28, respectively, and the mean absolute percentage errors were 3.58%, 3.34%, 2.42%, 4.58%, and 4.00%, respectively. Bland-Altman plots and scatter plots showed no systematic error when comparing the heart rate measurements obtained from the upper arm–worn and the wrist-worn Apple Watches. The intraclass correlation coefficients for participants A, B, C, and D were 0.559, 0.651, 0.508, and 0.563, respectively, with a significance level of P<.001, indicating moderate reliability.

CONCLUSIONS

The findings of this study suggest that the upper arm is a viable alternative site for monitoring heart rate during surgery using an Apple Watch. The agreement and reliability between the measurements obtained from the upper arm–worn and the wrist-worn devices were good, with no systematic error and a high level of accuracy. These findings have important implications for improving data collection and management of the physical and mental demands of operating room staff during surgery, where wearing a watch on the wrist may not be feasible.