bluuebunny/crossref_metadata_2025 huggingface dataset:
A unique prokaryotic vertical distribution in the groundwaters of deep sedimentary geological settings in Hokkaido, Japan
Authors: Sugiyama Ayumi , Ibara Tetsuo , Nagaosa Kazuyo , Marui Atsunao , Kato Kenji
Published: January 2024

The purpose of this study is to clarify the vertical prokaryotic distribution in groundwater in a terrestrial subsurface sedimentary environment with a geological complex. Six groundwater samples were collected from a coastal 1200-m-deep borehole in which digging strata deposited between 2.3 and 1.5 Ma in Horonobe, Hokkaido, Japan. The studied succession was divided into three vertical zones that were geochemically differentiated according to their chloride contents and water-stable isotopes. The upper zone (UZ; shallower than 500 m) primarily contained fresh water supplied by penetrating meteoric water, the connate water zone (CWZ; deeper than 790 m) contained paleo-seawater, and the diffusion zone (DZ; 500–790 m depth) located between UZ and CWZ. Fluctuations in the prokaryotic density and constituents were observed across these three zones. The prokaryotic density decreased from UZ toward DZ, and the density of DZ was two orders of magnitude lower than that of UZ and CWZ. High prokaryotic activity was observed in CWZ below DZ. The upward expansion of prokaryotic distribution from CWZ, where high prokaryotic potential expressed by biomass can be maintained almost equivalent to that in the marine environment, probably occurred on a geological timescale from 80 ka to 1.3 Ma, as shown by the groundwater age of DZ. The DZ is a zone where the geochemistry has changed drastically owing to the mixing of penetrating meteoric water and the diffusion of deep paleo-seawater, preserving a unique subsurface environment. This chemically mixed zone might be considered as a buffering zone for prokaryotes to prevent the expansion of prokaryotic density and activity provided by diffusion and their in situ growth from both above and below the zones, which is expected to be maintained over a geological timescale. This zone is considered important for using subsurface space in the deep subsurface environment of the island arc.
The role of nutritional support with probiotics in outpatients with symptomatic acute respiratory tract infections: a multicenter, randomized, double-blind, placebo-controlled dietary study
Authors: Kolesnyk Pavlo O. , Paliy Iryna H. , Sydorchuk Larysa P. , Hoda Zoriana P. , Ivanchenko Nataliya O. , Lych Oksana S. , Huley Natalia R. , Matsyura Oksana I. , Slyuzar Zoryana L. , Gerasymov Sergiy V.
Published: January 2024

Background

A number of laboratory data and clinical studies have shown that probiotic bacteria may be beneficial in respiratory viral diseases. We investigated the role of probiotics in coronavirus disease-19 (COVID -19), post-disease symptoms, and humoral immune responses to viral antigens.

Methods

This was a randomized, double-blind, placebo-controlled, prospective, multicenter study. We included symptomatic patients aged 18–65 years without risk of severe disease, and positive antigen/PCR test for SARS-CoV-2. Patients received (Bifidobacterium (B.) lactis BI040, B. longum BL020, Lactobacillus (L) rhamnosus LR110, L. casei LC130, L. acidophilus LA120, 5 billion CFU total) or placebo 1 capsule a day for 28 days and recorded symptoms. Three months later patients completed Post-COVID-19 Questionnaire (PCQ-19). On days 0–5 and 28–35, blood was sampled for IgG to nucleocapsid protein (NCP) and receptor binding domain (RBD)/spike 1 (S1) protein. The primary outcome measure was a patient global symptom score on day 10 of observation. The difference between groups was assessed using the Mann–Whitney U test.

Results

Seventy-three patients were assessed for clinical endpoints and 44 patients were evaluated for antibody production. At day 10, the median global symptom score (interquartile range) was lower in the probiotic group (0.0 (0.0–2.0) vs. 2.0 (1.0–5.0), P < 0.05). The probiotic group had a shorter duration of fatigue and anxiety after COVID -19 (P < 0.05) and a greater change in IgG concentration on RBD/S1 (225.9 vs. 105.6 binding antibody units/mL, P < 0.05).

Conclusions

Use of probiotics alleviates acute and post-disease symptoms, and improves humoral immune response to viral antigens.

Trial registration

Registered at clinicaltrials.gov as NCT04907877, June 1, 2021.
Noble MXene nanofluids' impact on solar collector effectiveness enhancement: a CFD numerical evaluation
Authors: Farhana Kaniz , Mahamude Abu Shadate Faisal , Kadirgama Kumaran , Jose Rajan
Published: January 2024

The thermal flat plate solar collector (FPSC) is a versatile solar harvesting system that may be integrated into various designs and base fluids. This study presents a novel investigation of using nanofluids to transfer thermal energy in an FPSC system. Using the governing equations in CFD simulations, the performance of an FPSC is studied numerically. The base fluid has been defined as a 60:40 blend of ethylene glycol and water. The effects of three distinct volume fractions of MXene nanofluids in the 0.01–0.1% range on the efficiency are investigated. The numerical findings revealed that employing MXene nanofluid increases outlet temperature efficiency by about 5.83%, 6.06%, and 6.31% when 0.01%, 0.05%, and 0.1% volume fractions of nanofluids are used, respectively. The research aims to create a validated numerical model that can be used to assess the effectiveness of FPSC utilizing ethylene glycol and water or other nanofluids of any mass fraction as a working fluid. To examine the overall effectiveness of the FPSC, a numerical model was created using Solidworks software and ANSYS ICEM CFD. The numerical findings revealed that (i) increasing the proportion of MXene nanofluid in the FPCS enhances efficiency to 0.1% volume fraction, and (ii) MXene nanoparticles may be used in the solar collector to improve efficiency.
Foot lesions and forelimb skin abrasions in suckling piglets: development and risk factors
Authors: Heimann Marcus , Hartmann Maria , Freise Fritjof , Kreienbrock Lothar , grosse Beilage Elisabeth
Published: January 2024

Background

Foot lesions in suckling piglets have been associated with poor flooring in several studies and were recently proposed to be indicative of swine inflammatory and necrosis syndrome. However, identical findings are also the typical outcome of various non-infectious causes; thus, further risk analysis is needed. The objective of this study was to describe the development of heel bruising, coronary band lesions and forelimb skin abrasion in suckling pigs up to 5 days of age. Furthermore, the effects of various intrinsic and extrinsic factors were examined. On each of four commercial piglet-producing farms, piglets from two or three batches of eight sows were studied. The piglets were included within 18 h after birth. Each piglet was individually scored four times. The score for the heels differentiated six (0–5) and for the coronary band and forelimb skin abrasion three stages (0–2). The body weight was measured two times. The effect of the floor was estimated by allocating the sows randomly to farrowing pens equipped with either soft rubber mats covered with litter or fully slatted plastic floors.

Results

The final analysis comprised data from 1045 piglets. Foot lesions were not found at birth but started to develop on day 1. On day 5, heel bruising was found in 94%, main claw coronary band lesions in 49% and forelimb skin abrasion in 73% of the piglets. In a multifactorial logistic regression analysis, it was shown that a slatted plastic floor significantly increased the odds of heel bruising and coronary band lesions, while a rubber floor with litter increased the odds of forelimb skin abrasions.

Conclusion

Foot and forelimb lesions in new-born piglets are mainly induced by the floor. The effect of slatted plastic floors on heel bruising showed an overwhelming OR of 52.89 (CI 26.29–106.43). Notably, coronary band lesions in young suckling piglets occur on slatted as well as non-slatted floors, indicating that the piglets incur these injuries not only from the wedging of their feet into the gaps between slats but also from contact with the floor while suckling. Based on these findings, preventive measures should be redirected to the improvement of the floor in the farrowing pen, particularly in the area under the sow’s udder.
Complex network analysis of global stock market co-movement during the COVID-19 pandemic based on intraday open-high-low-close data
Authors: Huang Wenyang , Wang Huiwen , Wei Yigang , Chevallier Julien
Published: January 2024

This study uses complex network analysis to investigate global stock market co-movement during the black swan event of the Coronavirus Disease 2019 (COVID-19) pandemic. We propose a novel method for calculating stock price index correlations based on open-high-low-close (OHLC) data. More intraday information can be utilized compared with the widely used return-based method. Hypothesis testing was used to select the edges incorporated in the network to avoid a rigid setting of the artificial threshold. The topologies of the global stock market complex network constructed using 70 important global stock price indices before (2017–2019) and after (2020–2022) the COVID-19 outbreak were examined. The evidence shows that the degree centrality of the OHLC data-based global stock price index complex network has better power-law distribution characteristics than a return-based network. The global stock market co-movement characteristics are revealed, and the financial centers of the developed, emerging, and frontier markets are identified. Using centrality indicators, we also illustrate changes in the importance of individual stock price indices during the COVID-19 pandemic. Based on these findings, we provide suggestions for investors and policy regulators to improve their international portfolios and strengthen their national financial risk preparedness.
Evaluation of selected agricultural by-products as potential feeds for rearing edible grasshopper,
Ruspolia differens
(Serville) (Orthoptera: Tettigoniidae)
Authors: Acur Amos , Malinga Geoffrey Maxwell , Nyeko Philip
Published: January 2024

Background

Crop residues and agro-industrial by-products constitute an enormous pool of unused and often neglected resources that could be productively utilized for rearing edible insects to meet the global demand for animal-based protein. Utilizing such products as feedstocks can lower the cost of edible insect production and reduce associated environmental pollution.

Methods

We evaluated the biology (survival, developmental duration, and adult fresh weight) of
Ruspolia differens
reared on eleven locally available agricultural by-products in Uganda, namely; dry maize cob, waste from a locally brewed finger millet drink, cotton seed cake, soybean hull meal, sunflower cake, pumpkin pulp, peelings of unripe banana, cassava, sweet potato, pineapple and pumpkin. Germinated finger millet was used as a control. Newly hatched (1 day old) nymphs were reared individually on each diet until 14 days post adult emergence. The nutritional profiles of the by-products were also determined. General linear models were fitted to analyse whether
R. differens
performance differed between sexes and among diets. The relationship between
R. differens
performance and the nutritional profiles of the diets were tested by Pearson correlation coefficient.

Results

Only three test diets (soybean hull meal, dry maize cob, and the local brew waste) supported survival till the adult stage. Nymphal survival negatively correlated with diets’ crude fibre content (
r
 = − 0.96,
p
 = 0.042). Nymphal development duration significantly differed among the diets, with the shortest duration under soybean hull meal (approx. 138 days) and the longest under the local brew waste (205 days). Nymphal development duration positively correlated with diets’ crude fibre content (
r
 = 0.95,
p
 = 0.022). Adult fresh weight at emergence and 14 days post emergence did not differ across the test diets. Female individuals were ~ 1.3 times heavier than males 14 days post emergence, although both sexes had similar weights at adult emergence. The levels of secondary metabolites in the diets were not associated with any growth performance parameters of
R. differens
.

Conclusions

Our findings suggest that
R. differens
can thrive and develop on some agricultural by-products. The results could guide the design of
R. differens
mass-rearing programs using locally available agricultural by-products.
Regional cultures and insufficient sleep in the United States
Authors: Pronk Nicolaas P. , Arena Ross , Laddu Deepika , Woodard Colin
Published: January 2024

Background

Insufficient sleep can increase the risk of health problems and chronic conditions including cognitive problems, increased inflammation, diabetes and cardiovascular disease, and overall mortality. In this report, insufficient sleep, as a cultural experience, was tracked across the United States according to the American Nations model of U.S. regional cultures.

Methods

County Health Rankings & Roadmaps program data relating to insufficient sleep were matched at the zip-code level with the American Nations dataset from the Nationhood Lab. Percentages for the insufficient sleep metric were then estimated using the population of each of the American Nations.

Results

High levels of sleep insufficiency across all regional cultures indicate considerable room for improvement and a potential need to prioritize sleep hygiene as a health concern. ANOVA results show significant differences among the 13 American Nations and indicate variation in sleep outcomes between cultural regions. Follow-up post hoc analyses appear to support the notion that those regional cultures that place a higher value on social investments tend to report lower levels of sleep insufficiency. Furthermore, the insufficient sleep pattern noted in this report is consistent with those reported earlier for physical inactivity, obesity, and diabetes.

Conclusions

Factors and circumstances occurring in the Midwest and the South-Central states appear to be responsible for the observed patterns. Future research should consider reviews of policies and related practices adopted across the American Nations to identify causal patterns.
Defining the Role of the Advanced Practice Provider Within the National Cancer Institute Community Oncology Research Program
Authors: Braun-Inglis Christa M. , Dressler Emily V. , Myers Jamie S. , Benson Al B. , Flannery Marie , Good Marjorie , Denicoff Andrea , Berenberg Jeffrey L. , DeTroye Alisha T. , O'Brien Bridget , Kottschade Lisa , Omatsu Dee Ann , Kittel Carol A. , Nightingale Chandylen L. , Foust Melyssa , Lesser Glenn J.
Published: January 2024

PURPOSE

Oncology advanced practice providers (APPs), including nurse practitioners, clinical nurse specialists, physician assistants, and clinical pharmacists, contribute significantly to quality cancer care. Understanding the research-related roles of APPs in the National Cancer Institute's (NCI) Community Oncology Research Program (NCORP) could lead to enhanced protocol development, trial conduct, and accrual.

METHODS

The 2022 NCORP Landscape Assessment Survey asked two questions about the utilization and roles of APPs in the NCORP.

RESULTS

A total of 271 practice groups completed the 2022 survey, with a response rate of 90%. Of the 259 nonpediatric exclusive practice groups analyzed in this study, 92% used APPs for clinical care activities and 73% used APPs for research activities. APPs most often provided clinical care for patients enrolled in trials (97%), followed by assistance with coordination (65%), presenting/explaining clinical trials (59%), screening patients (49%), ordering investigational drugs (37%), and consenting participants (24%). Some groups reported APPs as an enrolling investigator (18%) and/or participating in institutional oversight/selection of trials (15%). Only 5% of NCORP sites reported APPs as a site primary investigator for trials, and very few (3%) reported APPs participating in protocol development.

CONCLUSION

Practice groups report involving APPs in clinical research within the NCORP network; however, opportunities for growth exists. As team-based care has enhanced clinical practice in oncology, this same approach can be used to enhance successful research. Suggested strategies include supporting APP research-related time, recognition, and education. The findings of this survey and subsequent recommendations may be applied to all adult oncology practices that participate in clinical research.
A Case of Transient Hypercalcemia Following Fistulization of a Calcified Mitral Annulus
Authors: Perl Kobi Jacob , Julius Michal , Cantrell Dror
Published: January 2024

We report a case of severe symptomatic hypercalcemia that resolved after a short course of therapy of exclusively fluids and furosemide. An extensive workup for metabolic, neoplastic, and drug-induced causes did not provide a possible etiology of the hypercalcemia. After calcium level returned to baseline, the patient was discharged, only to return a week later with multiple embolic strokes of unknown source. The comparison of cardiac imaging obtained during the hospitalization periods established a possible mechanism for both phenomena; the interior caseous cavity of a calcified mitral annulus (CMAC), which was demonstrated on echocardiography during the first hospitalization, disappeared in a subsequent study in the second hospitalization, probably reflecting a fistulization of the structure into the left ventricle. The spill of contents into the bloodstream, over several days presumably, explains the transient increase in calcium, and the embolic events that followed. We hereby demonstrate a clear relationship between the fistulization of a CMAC and hypercalcemia, emphasizing the risks of this valvular pathology, and introducing a rare mechanism for transient and potentially severe hypercalcemia.
Mechanisms of Behavior Change for a Digital Resistance Training Intervention: A Mediation Study
Authors: Kompf Justin M. , Whiteley Jessica A. , Wright Julie , Camhi Sarah M.
Published: January 2024

Introduction/Purpose

Few interventions that seek to enhance resistance training behavior examine the mechanisms through which they exert their effects. Rather, many trials focus on physiological outcomes under tightly controlled training regimens. Understanding how to promote resistance training in everyday life is vital. This study aimed to examine the mediators of a remote-based 9-wk randomized controlled trial with a 4-wk self-regulation intervention period.

Methods

Sixty-one participants 18–35 yr of age who were not currently achieving the American College of Sports Medicine resistance training guidelines received two Zoom-based personal training sessions, resistance training equipment, and access to a Web site with training videos. After the two personal training sessions, participants were randomized to an intervention or comparison condition. Participants in the intervention condition received four weekly Zoom-based coaching calls to discuss barriers and solutions to resistance training participation. Resistance training behavior participation, self-efficacy, intention, behavioral expectations, and coping planning were assessed after the intervention period and at a follow-up 4 wk later. A mediation analysis was conducted to examine if the intervention had indirect effects on behavior through changes in any of the measured psychological variables.

Results

All necessary measures were completed by 96.7% of participants. After the intervention, direct effects were observed on self-efficacy (b= 0.68, standard error (SE) = 0.26,P= 0.01), intention (b= 0.77, SE = 0.27,P= 0.004), coping planning (b= 0.43, SE = 0.13,P= 0.001), and behavioral expectations (b= 19.7, SE = 5.3,P= 0.0001). Self-efficacy (b= 2.07, SE = 0.83,P= 0.01) and intention (b= 3.0, SE = 0.61,P= 0.0001) had direct effects on behavior. In the multiple mediation model, intention emerged as a significant mediator (b= 2.64, SE = 0.83,P= 0.001).

Conclusion

These findings suggest that changes in intention contributed to changes in behavior. Techniques that target behavioral intention may be appropriate for in-home strength-training interventions in young adults.
Infectious endocarditis due to Bacillus Cereus in a patient with a pacemaker
Authors: Costa Montezuma de Carvalho Márgerie Thalia , Mesquita Fernandes Luiza Valeska , Fidanza Vasconcelos Cavalcante Mariana , Vasconcelos Távora Ronaldo , Farias Luís Arthur Brasil Gadelha , Matias de Carvalho Bráulio
Published: January 2024

Introduction: Infective endocarditis (IE) is an infectious process of the cardiac endothelium, often related to the use of pacemakers and valve prostheses, which may facilitate microorganism” proliferation. Case Report: In this article, we describe the case of an 81-year-old man with infective endocarditis due to Bacillus Cereus related to the use of a pacemaker and perform a brief literature review. Discussion: Bacillus Cereus is a Gram-positive, aerobic, spore-forming, large, and generally motile bacterium that constitutes a rare cause of endocarditis, but few cases like this are described in the literature. Conclusion: Determining the etiology of IE through culture-guided methods plays a pivotal role in selecting appropriate antibiotic treatment. Maintain a high clinical suspicion for IE is paramount, especially when fever arises in patients with cardiac devices after surgical or dental procedures.
Effects of noise intensity on concentration levels of chainsaw operators and harvesting workers in industrial forest plantation, North Sumatera, Indonesia
Authors: Muhdi Muhdi , Hanafiah Diana Sofia , Sahar Asmarlaili , Telaumbanua Alex Angenano
Published: January 2024

Background Noise has the potential to affect the comfort and health of workers. The objective of this research was to determines the effects of noise on the concentration levels of both chainsaw operators and harvesting workers in industrial forest plantation, North Sumatra, Indonesia. Methods This experimental study included 20 respondents which consisted of 10 chainsaw operators/helpers and 10 harvesting workers. All respondents were exposed to the sound of a chainsaw in three different conditions (idle, half gas and racing conditions) with and without personal protective equipment (PPEs: earmuffs, ear plugs and without PPE). The sound intensity produced by the chainsaw and the noise received by the respondents were measured using a sound level meter. Respondents’ perception toward noise was recorded using a Likert scale. Respondents’ concentration level was assessed by giving 25 math-questions to be answered within 10 minutes. Wilcoxon sign rank test was used to analysed paired data. Results The average sound intensity received by respondents’ left and right ears were lower than the average sound intensity produced by the chainsaw. The use of earmuffs leads to better perception towards noise when compared with the use of earplugs and the absence of any PPE. Based on Wilcoxon test, the noise did not have significant impact on the concentration level of chainsaw operators, whilst the contrary result is true for harvesting workers. Conclusions The research indicated that although the noise produced by the chainsaw was considered noisy for both chainsaw operators and harvesting workers, it did not have a significant effect on the concentration level of chainsaw operators and only affected the harvesting workers. Therefore, given that the harvesting workers were still affected by the noise, noise control measures are still needed to ensure occupational safety and health for the workers.
The first released available genome of the common ice plant (Mesembryanthemum crystallinum L.) extended the research region on salt tolerance, C3-CAM photosynthetic conversion, and halophilism
Authors: Sato Ryoma , Kondo Yuri , Agarie Sakae
Published: January 2024

Background The common ice plant (Mesembryanthemum crystallinum L.) is an annual herb belonging to the genus Mesembryanthemum of the family Aizoaceae, native to Southern Africa. Methods We performed shotgun genome paired-end sequencing using the Illumina platform to determine the genome sequence of the ice plants. We assembled the whole genome sequences using the genome assembler “ALGA” and “Redundans”, then released them as available genomic information. Finally, we mainly estimated the potential genomic function by the homology search method. Results A draft genome was generated with a total length of 286 Mb corresponding to 79.2% of the estimated genome size (361 Mb), consisting of 49,782 contigs. It encompassed 93.49% of the genes of terrestrial higher plants, 99.5% of the ice plant transcriptome, and 100% of known DNA sequences. In addition, 110.9 Mb (38.8%) of repetitive sequences and untranslated regions, 971 tRNA, and 100 miRNA loci were identified, and their effects on stress tolerance and photosynthesis were investigated. Molecular phylogenetic analysis based on ribosomal DNA among 26 kinds of plant species revealed genetic similarity between the ice plant and poplar, which have salt tolerance. Overall, 35,702 protein-coding regions were identified in the genome, of which 56.05% to 82.59% were annotated and submitted to domain searches and gene ontology (GO) analyses, which found that eighteen GO terms stood out among five plant species. These terms were related to biological defense, growth, reproduction, transcription, post-transcription, and intermembrane transportation, regarded as one of the fundamental results of using the utilized ice plant genome. Conclusions The information that we characterized is useful for elucidation of the mechanism of growth promotion under salinity and reversible conversion of the photosynthetic type from C3 to Crassulacean Acid Metabolism (CAM).
Quantitative methods for group bibliotherapy research: a pilot study
Authors: Troscianko Emily T. , Holman Emily , Carney James
Published: January 2024

Background Bibliotherapy is under-theorized and under-tested: Its purposes and implementations vary widely, and the idea that ‘reading is good for you’ is often more assumed than demonstrated. One obstacle to developing robust empirical and theoretical foundations for bibliotherapy is the absence of analytical methods capable of providing sensitive yet replicable insights into complex textual material. This pilot study offers a proof-of-concept for new quantitative methods including VAD (valence–arousal–dominance) modelling of emotional variance and doc2vec modelling of linguistic similarity. Methods VAD and doc2vec modelling were used on conjunction with qualitative coding to analyse transcripts of reading-group discussions plus the literary texts being discussed, from two reading groups each meeting weekly for six weeks (including 9 participants [5 researchers (3 authors, 2 collaborators), 4 others] in Group 1, and 8 participants [2 authors, 6 others] in Group 2). Results In-text–discussion similarity was inversely correlated with emotional volatility in the group discussions (arousal: r = -0.25; p = ns; dominance: r = 0.21; p = ns; valence: r = -0.28; p = ns). Enjoyment or otherwise of the texts was less significant than other factors in shaping the significance and potential benefits of participation. (Texts with unpleasant or disturbing content that strongly shaped subsequent discussions of these texts were still able to sponsor ‘healthy’ discussions of this content.) Conclusions Our methods and findings offer for the field of bibliotherapy research both new possibilities for hypotheses to test, and viable ways of testing them. In particular, the use of natural language processing methods and word norm data offer valuable complements to intuitive human judgement and self-report when assessing the impact of literary materials. We also share observations on facilitation protocols, interpretative practices, and how our group reading model differs from other trials of group reading for wellbeing.
Ontological Augmentation and Analytical Paradigms for Elevating Security in Healthcare Web Applications
Authors: Alharbe Nawaf
Published: January 2024

The 4th and 5th industrial revelations provided huge access to a high volume of information in healthcare sectors. However, the vast majority of web applications are under attack constantly. Due to the huge volume of attack vectors in recent years, technical breaches to the web applications of healthcare sectors are becoming a common issue. Hence, it is essential to develop an effective framework that would help experts and healthcare practitioners in web application security management. In this research, we proposed an ontology-based technique for developing secure online web applications in healthcare sectors. This study presents a conceptual framework with 5 stages namely: idea understanding, requirement identification, design and code, threat classification, and facilitate. The proposed methodology involves several various advantage features such as providing a unified path for future professional applications. Also, the proposed solution provides a clear pathway for implementing the easy-to-use secure web application development in short term in the healthcare sector. Finally, the study used a multi-criteria decision-making methodology to undertake a performance simulation assessment. Out of the evaluated process, Fuzzy-AHP has shown better performance for scheduling each step of the final developed security system better. In the future, the proposed method will be evaluated using more databases in the healthcare sector to improve the applications of the proposed method.
Research on MOOC Curriculum Recommendation Model of Higher Vocational English based on Improved Intensive Learning Network
Authors: Zheng Yuxia , Ma Yanlei
Published: January 2024

With the development and maturity of the Internet education industry, more and more vocational colleges have opened English teaching courses based on massive open online courses courses. However, there are many English-related courses on the massive open online courses course platform, and the use of scientific recommendation models can improve the teaching quality of such courses. Therefore, this research attempts to design two improved attention mechanisms and user-based embedded expression using meta-path technology. At the same time, these two are combined with reinforcement learning technology to design an improved massive open online courses English course recommendation model. The test results show that the hit rate of the model designed in this study is 89.84%, 74.28%, 70.81% and 71.35% respectively when the rank number is 20 and the parameter is 10. At this time, the cumulative income of normalized discount is 48.24%, 34.58%, 25.96% and 28.69% respectively. However, when the number of calculated samples reaches the maximum value of 1158609, the calculation time of the improved reinforcement learning recommendation model is 1867 seconds, which is also higher than the comparison model. The experimental results show that the curriculum recommendation accuracy of the massive open online courses recommendation model designed in this study is higher and the recommendation results are more reasonable. The results of this research have a certain application potential in the field of the construction of online education in colleges and universities.
The Evaluation of Ethnic Costume Courses based on FP-growth Algorithm
Authors: Xu Rui
Published: January 2024

In order to make full use of the accumulated curriculum data of Folk costume and dig out useful information from it, so as to provide useful information for curriculum teaching, the article proposes three general functions based on the requirement analysis, and pre-processes the completed grade data of ethnic costume students in 4 academic years, analyzes these data by FP-growth algorithm to understand the situation of association rules between different courses, and through K-means++ algorithm The clustering analysis of students with different levels of achievement is carried out and the results are validated by examples. In the algorithm performance analysis, the performance of FP-growth algorithm is better, the average absolute error of FP-growth algorithm is always smaller than that of Apriori algorithm; When the support degree is 20%, the running time of FP-growth algorithm is 0.4s, which is 0.4s less than that of Apriori algorithm. when the number of calculation nodes is 5, the running time of FP-growth algorithm and the accuracy of the K-means++ algorithm were higher than that of the K-means algorithm. In the Iris dataset, the accuracy of the K-means++ algorithm was 91.05%, which was 8.94% higher than that of the K-means algorithm. When mining the course grade data, the confidence level of the obtained association rules was even higher, even up to 97.15%. The standardized test score for the second group of students was 0.960. The course evaluation method used in the article was more objective and the accuracy of the data analysis was higher, providing valuable reference information for teachers' teaching.
Construction of Semantic Coherence Diagnosis Model of English Text based on Sentence Semantic Map
Authors: Guo Peng
Published: January 2024

The current English composition automatic correction system rarely involves coherence quality analysis of compositions. Therefore, a semantic coherence diagnosis model for English texts was constructed based on sentence semantic maps, and its effectiveness was verified through experiments. Experimental results show that sub Graphical model 10, 12 and 13 exceed 200 on the first two test texts and 1 on the last two test texts. However, the differences between these three subgraphs on different test texts are not significant, with differences below 30 and 0.3. In addition, when extracting incoherent sentences, the F1 value reaches the optimal value at a threshold of 0.34, which is 87.54%. When the threshold is fixed at 0.34, the accuracy of extracting non coherent sentences also increases with the number of articles, reaching a maximum of 88.43%. At the same time, there was no significant difference in accuracy, recall, and F1 values among different English composition numbers, maintaining between 83% and 89%. The Pearson coefficient calculated in the actual comparison with the teacher's manual composition score is 0.6025, indicating a strong correlation between the two, indicating that the diagnostic results are reliable. Overall, the diagnostic model constructed in the study has strong accuracy and effectiveness, and is practical in the diagnosis of semantic coherence in actual English texts.
Construction and Application of Physical Education Classroom Teaching Model Integrating MOOC and Flipped Classroom
Authors: Zhang Zheng
Published: January 2024

In terms of sports itself, mastering certain skills is a reliable way to avoid injury and futile training, and the teaching process needs to focus on imparting skills. Therefore, in order to optimize the teaching mode of physical education courses, this study explores the current improvement achievements and draws on the advancement of curriculum reform. The study proposes a recommendation method based on knowledge points and student characteristics by studying the characteristics and importance of sports techniques, in order to achieve high-quality customized content recommendations. Through validation experiments, the effectiveness of this recommendation method and optimization path is demonstrated. This study adopts an empirical research design to explore the impact of recommendation methods based on knowledge points and student characteristics on the teaching effectiveness of physical education courses. The effectiveness of this recommendation method is evaluated by collecting and analyzing students' learning data. Statistical analysis methods are used to analyze experimental data, including calculating the percentage of improvement in students' technical movements under different teaching modes. The research results indicated that recommendation methods based on knowledge points and student characteristics were of great significance for optimizing the teaching mode of physical education courses. The improvement of subjects' technical movements such as hitting and swinging in the new teaching mode was significantly better than that in the traditional teaching mode, with an increase of 10-20 technical movements per unit time, with a growth rate of over 20%. Compared with traditional teaching models, this teaching model has been subjectively recognized by students and has positive reference significance for the current physical education teaching model.
Modeling a Smart IoT Device for Monitoring Indoor and Outdoor Atmospheric Pollution
Authors: Jebaseeli T Jemima , Kim Daegeon , Lee Dongoun
Published: January 2024

Air pollution is caused by chemical, physical, or biological components alters the fundamental properties of the atmosphere, and contaminates the interior or outdoor settings. With the rapid industrialization activity in recent years, there is an urgent need to monitor air quality. The proposed research provides a mechanism for monitoring air pollution in indoor and outdoor environments. The system consists of an IoT-based Arduino device. The Arduino IDE connects the Temperature and Humidity sensor, Grove light sensor, and air quality sensor to measure the air pollutants such as Carbon dioxide CO2, Nitrogen oxide (NOx), and Particulate Matter PM2.5. The sensors work efficiently and provide qualitative findings from the environment when they are exposed to CO2, gasoline, solvents, thinner, formaldehyde, and other harmful chemicals. The Wi-Fi module of the Blues Wireless Notehub is used for secure data routing to the IoT cloud. The Air Quality Index (AQI) measures provide information on whether there is something unsafe in indoor and outdoor environments. For collecting and analyzing the device data, the Notecard is intended to be used with a cloud storage service. Also, the indoor fire detector identifies the incident of fire intimates the users through the alarm, and measures the indoor pollutant at that time. The proposed smart IoT product model would be an excellent device for air quality monitoring because of its long-term consistency and low electricity consumption.
Comprehensive Evaluation Model for Competitiveness of Mass Media Companies in the IoT Sensor Networks
Authors: Xi Mengying
Published: January 2024

Mass media companies can be elaborated as organizations that manipulate technological components for their various departments such as movie studios, publishing houses, radio and television station management teams that impact a large range of audience via vast communication strategies. The companies have also been referred to as media conglomerates, media groups, or media houses further illustrating their grasp over the global markets and their revenue structures. The largest media companies such as Apple, Disney, and Comcast among others, offer products and services to users that are diverse individuals as well as large organizations leading to significant revenues as well as challenges that have been further explored in a comprehensive manner in the study. IoT utilizes wireless networks that are without infrastructure to install a huge number of wireless sensors that track system, physical, and environmental conditions. If you're wanting to integrate WSN into your business, our highly driven and experienced engineers can give you an all-encompassing solution.
On Inconsistencies and Strategies, or How to Translate the Unnatural Naturally
Authors: Rebrii Oleksandr , Virotchenko Svitlana
Published: January 2024

This article highlights the results of an experimental study dedicated to analysing the concept of translation naturalness in terms of the processoriented paradigm of Translation Studies. The multidisciplinary nature of modern Translation Studies is revealed through applying methods, concepts, and theories of different areas of knowledge in regard to different translation-related phenomena as well as translation itself. Experimental methods devised by cognitive psychology for exposing the mechanisms of decision-making in complex processes have proven their validity in translatology for the last thirty years. The aim of the study is to investigate the translators’ decisions intended to make their output look more natural. Our hypothesis is that such decisions are in particular motivated by aspiration to eliminate different types of inconsistencies that can potentially result in unnaturalness in the target text. To verify this hypothesis, we developed and conducted an introspective experiment based on the think-aloud methodology. The material for the study was taken from Terry Pratchett’s novel A Hat Full of Sky, within which we singled out three control elements characterised by structural, semantic or stylistic inconsistency. The analysis of the TAPs of ten semi-professional subjects demonstrated that they did not always successfully identify the inconsistencies in the control elements, but when they did, their reaction was to apply strategies aimed at eliminating them and therefore enhancing the target text naturalness.
O możliwościach „nowej” historii przekładu na przykładzie kilku dziewiętnastowiecznych tłumaczeń
Authors: Dębska Karolina
Published: January 2024

ON THE PERSPECTIVES OFFERED BY A ‘NEW’ HISTORY OF TRANSLATION ON THE EXAMPLE OF SEVERAL 19TH CENTURY TRANSLATIONSTo become a discipline in its own right, translation studies needs to explore its own history, not only in the traditional sense – the study of the impact of translations of masterpieces on Polish literature – but also in a more modern and eclectic one. This article tests one such newer approach, proposed by Lieven D’hulst, using several nineteenth-century translations of Hippolyte Taine’s works into Polish as examples, and it focuses on the translators and their choices, the context of their work, and the causes and effects of their translations. The aim of the study is to show that interdisciplinarity is an opportunity for translation studies and that the history of translation after the cultural turn can be a worthwhile area of research.
The Voice of Customers in Customization
Authors: Guo Liang
Published: January 2024

Recent years have seen a growth in customized products and services. As a prerequisite for customization, private information on individual customers’ quality preferences needs to be uncovered. Sellers can listen to customers about their stated or self-reported preferences through direct communication (e.g., conversation, survey). Alternatively, customer preferences can be inferred from their behavior when they are given the rights to self-design the quality. In this research we endogenize the viability of customization by investigating whether and when customers may reveal their stated/inferred preferences truthfully. We find that, for either preference-learning approach, customers would voice their preferences faithfully if and only if they are sufficiently heterogenous. Equilibrium preference revelation, and hence endogenous customization, tend to be sustained by intermediate seller bargaining power or nonextreme production/selling costs. We examine how the preference-learning approaches may differ in the endogenous feasibility of customization, equilibrium qualities, and the parties’ expected payoffs. We show that giving up the design right need not always be harmful for the seller, and gaining it can make the buyers worse off, especially when fixed costs of customization are considered.

This paper was accepted by Eric Anderson, marketing.

Funding: This work was supported by a DAG grant offered by the Hong Kong Research Grant Council.
The Effect Of Corporate Social Responsibility On Profitability With Leverage As Moderating Variable
Authors: Warninda Titi Dewi , Faujiyah Sakinah
Published: January 2024

Purpose- This study aims to analyze the effect of corporate social responsibility on the profitability of listed banks in Indonesia and analyze leverage as the moderating variable.
Design/Methodology/Approach- This research uses data from 14 listed banks in the Indonesia Stock Exchange from 2017-2021. The equations to analyze the influence of corporate social responsibility and some control variables (firm size, capital adequacy ratio, leverage, and inflation) on profitability and the influence of leverage as a moderating variable are estimated using Fixed-Effect panel data regression.
Findings- The results of this research show that firm size, capital adequacy ratio, leverage, and rate of inflation variables have a positive influence on profitability. Meanwhile, corporate social responsibility and the moderating effect of leverage do not significantly influence profitability.
Research limitations/implications- The research findings are expected to become a reference for the investor and the bank management on the influence of corporate social responsibility on a listed bank's profitability and the effect of leverage as a moderating variable.
Originality/value- As an intermediary, banks have different types of leverage than non-bank companies. This study analyzes the impact of corporate social responsibility with leverage as a moderating variable on the profitability of listed banks in the Indonesian Stock Exchange.
Supply Chain Management Practices and Supply Chain Integration on Organizational Performance: The Mediation Role of Competitive Capabilities
Authors: Rini Poppy Laksita , Kumar Aswin , Sutanto Aftoni
Published: January 2024

Purpose- This study's goal is to ascertain how competitive capabilites through supply chain management and supply chain integration affect organizational performance.
Design/Methodology/Approach- Structural Equation Modeling, assisted by the Smart PLS program, is the data processing technique utilized in this study to examine the impact of the indicators of each of the aforementioned variables on Batik Micro, Small and Medium Enterprises in the Special Region of Yogyakarta. By distributing questionnaires, the researchers were able to collect data from up to 65 respondents.
Findings- The findings of this study demonstrate that supply chain management and supply chain integration have a favorable impact on organizational performance, and that competitive skills can mediate that effect.
Research limitations/implications- The study's findings are anticipated to serve as a guide and source of knowledge for business players, particularly Batik Micro, Small, and Medium Enterprises in Special Region of Yogyakarta, who are expected to understand that in order to enhance the performance of their enterprise, attention must be paid to elements that may have an impact.  This study demonstrates that competitive competencies, supply chain integration, and supply chain management techniques are all elements that can impact a company's performance.
Originality/value- There are still very few studies on supply chains and organizational performance in micro, small, and medium-sized businesses, particularly Batik. In this study, characteristics that are thought to have an impact on the number of Batik Micro, Small, and Medium Enterprises in a Special Region of Yogyakarta are revealed.