bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling of Hybrid Henry Gas Solubility Optimization Algorithm with Deep Learning based LED Driver System
Authors: Ahamed Fayaz , Sukhi Y. 
Published: January 2023

Abstract
Light emitting diodes (LED) become an effective lighting solution because of the characteristics of energy efficiency, flexible controllability, and extended lifetime. They find use in numerous lighting systems for residents, industries, enterprises, and street lighting applications. The efficiency and trustworthiness of the LED systems considerably based on the thermal mechanical loading improved several degradation schemes and respective interfaces. The complication of the LED systems limits the theoretic interpretation of the core reasons for the luminous variation or the formation of the direct correlation among the thermal aging loading and the luminous output. Therefore, this article designs a new Hybrid Henry Gas Solubility Optimization with deep learning (HHGSO-DL) algorithm for LED driver system design. The presented HHGSO-DL technique mainly concentrates on the derivation of empirical relationships among the design parameters, thermal aging loading, and luminous outcomes of the LED product. In the presented HHGSO-DL technique, bidirectional long short-term memory (BiLSTM) algorithm is executed for examining the empirical relationship and its hyperparameters can be tuned by the HHGSO algorithm. In this work, the HHGSO algorithm is derived by the integration of traditional HGSO algorithm with oppositional based learning (OBL) concept. The performance of the HHGSO-DL technique can be investigated on LED chip packaging and LED luminaire with thermal aging loading. The extensive results demonstrate the promising performance of the HHGSO-DL technique over other state of art approaches.
Determinants of Puerperal Sepsis among Postpartum Women Admitted to Public and Private Hospitals in Dire Dawa City Administration, Eastern Ethiopia: Unmatched Case- Control Study
Authors: Mohammed Aminu , Belay Yalelet , Sintayehu Yitagesu , Nuri Aliya , Abera Legesse 
Published: January 2023

Abstract
Introduction: Puerperal sepsis is an infection of the genital tract occurring at any time from 2 to 42 days of puerperium. Maternal sepsis was responsible for 10.7% of the 295,000 maternal deaths worldwide. Various efforts are undertaken, but its burden remains as the third cause of maternal mortality in developing countries, including Ethiopia. However, there is a scarcity of data on determinants of puerperal sepsis in Ethiopia generally and not in the study area particularly.
Objective: This study aimed to assess determinants of puerperal sepsis among postpartum women admitted to public and private hospitals in Dire Dawa city administration from September to October 2022.
Methodology: A hospital-based unmatched-case control study was used among 600 postpartum women (150 cases and 450 controls). Cases (postpartum women with puerperal sepsis) and controls (postpartum women without puerperal sepsis) were selected by a systematic sampling technique. Data was collected using an interviewer-guided structured questionnaire and medical record review. The data was entered and cleaned by EPI DATA (Version 3.1) and analyzed using SPSS (Version 22) software. Bivariate and multivariate logistic regression, as well as odds ratios with 95% confidence intervals, were used to examine the effect of each independent variable on the outcome variable, and a P-value of 0.20 for transferring to multivariable analysis and a P-value of 0.05 for multivariable analysis were considered statistically significant.
Results: The determinants of puerperal sepsis were housewives (AOR = 2.24, 95% CI: 1.13-4.45), merchants (AOR = 2.98, 95% CI: 1.47-6.03), rural residence (AOR = 3.97, 95% CI: 2.34-6.74), home deliveries (AOR = 2.61, 95% CI: 1.02-6.70), cesarean deliveries (AOR = 2.40, 95% CI: 1.43-3.99), vaginal examinations (AOR = 3.50, 95% CI: 1.50-8.20), and prolonged rupture of membranes (AOR=1.91, 95%CI: 1.02-3.60)
Conclusion and recommendation: The majority of determinants of puerperal sepsis were related to obstetrics, along with occupation and residence. As a result, interventions involving coordinated and combined efforts to improve institutional delivery and use standard procedures during the labor and delivery process might take these factors into account.
A retrospective audit of Robotic versus Laparoscopic Anterior Resection for diverticular disease in a Single Surgeon’s Experience
Authors: Chiu Tricia , Chen Michelle Zhiyun , Guo Cici , Barto Walid 
Published: January 2023

Abstract
Purpose
There has been a shift towards elective resection for recurrent or complicated diverticular disease to prevent recurrent episodes of diverticulitis. Our study aims to compare the outcomes in elective robotic and laparoscopic anterior resection for diverticular disease by a single surgeon experienced in both techniques.
Method
This is a retrospective study of patients who underwent elective anterior resections at the Nepean Public Hospital, Nepean Private Hospital, and Sydney Adventist Hospital (SAN) in the last 10 years. The single surgeon is an experienced surgeon who has performed laparoscopic anterior resections from January 2013 to December 2018; and mainly robotic anterior resections from January 2018 to July 2022.
The primary outcome of this study was to determine if there were any differences in length of stay and post-operative complications in laparoscopic and robotic anterior resections. Secondary outcomes included operating time, rate of conversion to open surgery, and 30-day mortality and morbidity.
Results
53 patients included in this study. There was no significant difference in conversion to open rates (p=0.528), mean operative time (p=0.095), stoma formation rates (p=0.528) and post-operative complication rates (0.609). Length of stay was significantly shorter in the robotic group (p=0.024), and a higher proportion of patients who had laparoscopic surgery stayed for ≥6 days (p=0.08). There were no anastomotic leakages, or 30-day mortality and morbidity.
Conclusion
Robotic anterior resection is a feasible approach in experienced hands and produces comparable results to laparoscopic anterior resection for diverticular disease in terms of length of stay, post-operative complications and operative timings.
N-mode Minimal Tensor Extrapolation Methods
Authors: Bentbib Abdeslem Hafid , Jbilou Khalide , Tahiri Ridwane 
Published: January 2023

Abstract
The purpose of this work is to present, using the n-mode product, a new approach to generalize, for tensor sequence,s the well-known vector extrapolation methods MPE ( Minimal Polynomial Extrapolation method) and RRE (Reduced Rank Extrapolation method). We define the notion of the n-mode minimal polynomial of a matrix with respect to a tensor. This polynomial will be used, through the iterative solution of some tensor linear systems, to introduce the tensor version of MPE and RRE. These methods involve only the terms of sequences that result from the used iterative methods. The implementation of these methods on some sequences of tensors confirms the effectiveness and applicability of our approach.
Capturing College Students’ Happiness in Relation to their Classroom Engagement through Aristotle and St. Thomas Aquinas’ View
Authors: Sandoval Khristine L. 
Published: January 2023

Abstract
Happiness has been a vague term often described by psychologists, philosophers, and theologians. In connection to academe, the question lies on what factor does the happiness of the students mostly relies on. During the current pandemic, online learning has been widely promoted in replacement to traditional face-to-face classes to maintain youth’s learning at home which arises to different mental health issues affecting their classroom management. This paper proposes an understanding of the nature of happiness in young generation in relation to their classroom engagement with the thought of Aristotle and Aquinas. It uses qualitative study and exploratory method that applied in selected students of different ages and programs in a private university. This also suggest assessments of personal experiences on (1) personal classroom engagement, and (2) self-assessed individual happiness. Data are analyzed through the lenses of Aristotle, whose approach is focused on reasoning, and St. Thomas Aquinas, whose method is based on theology and faith. The results are grouped into different themes concerning the happiness, classroom engagement, and the relationship of the two. It also reveals different concepts of happiness of college students in Aristotle and Aquinas’ view and it was correlated to their classroom engagement on both synchronous and asynchronous online classes. Hence, this paper greatly impacts the purposive and meaningful life of the students, or in general, the society as a whole.
Some epileptic patients have an increased risk of dying sooner. Poor adherence-related epilepsy control
Authors: Bereda Gudisa 
Published: January 2023

Abstract
Background: Recurrent, spontaneous epileptic convulsions are the hallmark of epilepsy, a chronic illness. The likelihood of having an uncontrolled seizure was predicted by non-adherence to antiepileptic medicines (AEDs), the number of seizures that occurred before taking AEDs, and a head injury.
Case Presentation: On February 22, 2022, a self-employed, 26-year-old black male adult was taken to the medical ward with a seven-day history of recurring aberrant bodily movements. He had previously been treated with 100 mg of phenobarbitone for his epilepsy two years prior. On admission, he had a five-day history of anxiety, memory problems, diarrhea, sporadic fever, crying during the episode, uncontrollable jerking movements of the arms and legs, and partial loss of consciousness, in addition to a seven-day history of recurrent abnormal body movements. During his physical examination, an electroencephalogram showed that his brain was electrically active in an abnormal way. A computed tomography scan showed no lesions were present. A Glasgow Coma Scale reading of 10/15 was obtained during a neurological examination to assess his level of consciousness. When he arrived, he was given 10 mg of intravenous diazepam and three doses of 100 mg of oral phenobarbitone every eight hours.
Conclusion: Epilepsy affects people of all ages, ethnicities, sexes, levels of education, socioeconomic status, and social classes worldwide. Despite receiving the greatest care, seizure control may still be impacted by triggers or lifestyle choices.
Agroecology-Based Local Communities Vulnerability To Climate Change In Tembaro District, Southern Ethiopia
Authors: Uriga Degineh Herano , Mekuyie Muluken 
Published: January 2023

Abstract
Ethiopian agricultural system is almost all rain-fed agriculture systems, which is becoming more vulnerable to the impacts of climate change and variability. Identification of farmers’ vulnerability level is important to select appropriate adaptation options to climate change. Thus, this study aimed to examine the vulnerability of communities’ livelihood to climate variability and change based on different agro-ecological zones of the study area using the livelihood vulnerability index–intergovernmental panel on climate change (LVI–IPCC) method. The data was collected from a representative 154 sample households using stratified random sampling techniques. Also, the data was collected from December 2020 to February 2021 by interviewing the selected respondents, which was supplemented with focus group discussion and key informant interviews.
There was a difference in vulnerability status between the selected agro-ecologies in the district depending on their livelihood strategies, access to infrastructure, characteristics of the household, and available technologies. The analysis yielded that, the overall vulnerability score for communities in highland agroecology was 0.029, midland agroecology was 0.038, and lowland agroecology was 0.114, which indicates that communities in law land agroecology are more vulnerable relative to midland and high land agro-ecologies.
To enhance climate resilience or climate change adaptation strategies for vulnerable communities, there is a need to improve infrastructure facilities, diversification of livelihood strategies, provide improved seed varieties, and enhance soil and water conservation practices giving priority to more vulnerable communities. Decision-makers should plan adaptation in local contexts based on farmers' socioeconomic characteristics and livelihood strategies rather than adopting at international levels.
Time series trend modelling and forecasting of selected water quality parameters in the Mthatha River Catchment, South Africa
Authors: Amoo Oseni Taiwo , Abayomi Abdultaofeek , Ikudayisi Akinola , Makupula Nombuyiselo 
Published: January 2023

Abstract
Over recent decades, water quality at the Mthatha River Catchment (MRC) within the Eastern Cape Province of South Africa has been threatened by various pollutants. The continuous effluent concentration discharges from the Mthatha Prison and the Efata School for the Blind and Deaf have caused ineffable damage to the Mthatha River's water quality. Thus, the time series-measured data between 2012 and 2020 were analysed to determine the trends and enable forecasting of selected water quality parameters using the Thomas–Fiering (T–F) stochastic model. The Kendall's τ test trends show an increase in the coefficient of variation of 0.498 and 0.394 at the Mthatha Prison and Efata School, respectively, for abrupt changes, whereas the mean monthly T–F forecasted model shows a good correlation value range from 0.79 to 0.87 for the various predicted variables. The simulated predicted models and trends could serve as a measure to forecast selected water quality parameters' occurrence and a likelihood period when the river pollutants could be controlled. Water managers and researchers would find usefulness in the employed tools for an effective control planning of the river pollutants.
Refractive Error and Ocular Biometry among Young Adults from Cuiabá, Brazil
Authors: Cunha Celso Marcelo , Marchezine Giovanna , Cunha Jessica Teixeira , de Lima Guilherme Morais Baracat , Monteiro da Silva Ingrid Martins , Rosa João Marcelo Vedoin , Ribeiro Mariana Madrona , Novaes Matheus Bittencourt , Carvalho Vinicius Dal Ponte , de Aguilar Nascimento José Eduardo , Iribarren Rafael 
Published: January 2023

Objective
To investigate the distribution of refractive errors and their association with ocular biometric data, family history and environment variables in medical university students of first to six semesters of UNIVAG - MT.

Methods
A general ophthalmological exam was performed including, corneal topography, and ocular optical biometry. Lens power has calculated by Bennett and Rozema’s formula. A questionnaire regarding family history of myopia and lifestyle visual activities was applied. Only university students with normal ophthalmological exams were included. Statistical significance was considered at the level of p<0.05.

Results
One hundred twenty-eight students were selected, whereas other 13 were excluded. The mean age was 21.28 ± 2.18 years. Forty-four (34.4%) participants were males. Regarding refractive errors, 18 (14.1%) were hyperopic, 41 (32%) were emmetropic, 61 (47.7%) were myopic, and 8 (6.3%) were high myopic. The mean and standard deviations of spherical equivalents, axial lengths, keratometries (K1 and K2), and lens powers were -1.27 ± 2.21 D, 24.17 ± 1.07 mm, 42.90 ± 1.25 D, 43.94 ± 1.37 D, and 22.62 ± 1.73 D, respectively. In relation to the family history of myopia, one parent was myopic in 28 (50%) of subjects, and both parents were myopic in 7 (12.5%) subjects. The average of hours per week spent outdoors were 5.82 +/- 7.38 hs. and spent 6.85 +/- 6.26 hs. at sports activities at night.

Conclusion
Myopia was the most frequent refractive error among the medical university students subject of this study, and was approximately three times higher than those reported for other samples of Brazilian population. There was a positive correlation between refraction errors and axial length.
Role of SIRT-1 as a Target for Treatment and Prevention of Diabetic
Nephropathy: A Review
Authors: Kumari Anita , Sodum Nalini , Ravichandiran Velayutham , Kumar Nitesh 
Published: January 2023

Abstract:
Type-2 diabetes mellitus is a prime factor for the development of Diabetic Nephropathy
(DN) that affects the vital organ namely the kidneys, and further alters the functions of the
nephron system. DN is nowadays becoming a challenge for scientists towards the world because
of its high pervasiveness and complexity of medication. Various risk factors are involved
in the initiation of pathogenic DN, which are associated with different pathways against drug
activity. Due to this DN becomes an unpredictable query to the researchers. SIRT1 is a silent
information regulator factor 2 related enzyme 1 (SIRT1) is nicotinamide adenine dinucleotide
(NAD+) dependent deacetylase that functions as an intracellular regulator of transcriptional activity.
An activated version of SIRT-1 improves the metabolic diseased conditions associated
with other molecular pathways. SIRT1 attenuates diabetic nephropathy in in vitro and in vivo
experimental models of diabetes containing Podocytes, Mesangial cells, and Renal proximal
tubular cells. SIRT1 shows nephroprotective effects in DN in part through deacetylation of
transcription factors i.e., imply in the disease like p53, PTP1B, FOXO, RelA, NF- kβ, STAT-3,
and PGC-1α/ PPARγ. It has been shown that some natural products like resveratrol and synthetic
compounds are activating the SIRT1, this further involved the cascade pathways to prevent
the DN. This review will help regarding the effectiveness of SIRT1as target in the prevention
and treatment of DN.
Translating and Adapting the DISCERN Instrument Into a Simplified Chinese Version and Validating Its Reliability: Development and Usability Study
Authors: Shan Yi , Xing Zhaoquan , Dong Zhaogang , Ji Meng , Wang Ding , Cao Xiangting 
Published: January 2023

BackgroundThere is a wide variation in the quality of information available to patients on the treatment of the diseases afflicting them. To help patients find clear and accessible information, many scales have been designed to evaluate the quality of health information, including the Patient Education Materials Assessment Tool; the Suitability Assessment of Materials for evaluation of health-related information for adults; and DISCERN, an instrument for judging the quality of written consumer health information on treatment choices. These instruments are primarily in English. Few of them have been translated and adapted into simplified Chinese tools for health information assessment in China.ObjectiveThis study aimed to translate and adapt DISCERN into the first simplified Chinese version and validate the psychometric properties of this newly developed scale for judging the quality of patient-oriented health information on treatment choices.MethodsFirst, we translated DISCERN into simplified Chinese using rigorous guidelines for translation and validation studies. We tested the translation equivalence and measured the content validity index. We then presented the simplified Chinese instrument to 3 health educators and asked them to use it to assess the quality of 15 lung cancer–related materials. We calculated the Cohen κ coefficient and Cronbach α for all items and for the entire scale to determine the reliability of the new tool.ResultsWe decided on the simplified Chinese version of the DISCERN instrument (C-DISCERN) after resolving all problems in translation, adaptation, and content validation. The C-DISCERN was valid and reliable: the content validity index was 0.98 (47/48, 98% of the items) for clarity and 0.94 (45/48, 94% of the items) for relevance, the Cronbach α for internal consistency was .93 (95% CI 0.699-1.428) for the whole translated scale, and the Cohen κ coefficient for internal consistency was 0.53 (95% CI 0.417-0.698).ConclusionsC-DISCERN is the first simplified Chinese version of the DISCERN instrument. Its validity and reliability have been attested to assess the quality of patient-targeted information for treatment choices.
Fine-tuning Strategies for Classifying Community-Engaged Research Studies Using Transformer-Based Models: Algorithm Development and Improvement Study
Authors: Ferrell Brian J 
Published: January 2023

Background
Community-engaged research (CEnR) involves institutions of higher education collaborating with organizations in their communities to exchange resources and knowledge to benefit a community’s well-being. While community engagement is a critical aspect of a university's mission, tracking and reporting CEnR metrics can be challenging, particularly in terms of external community relations and federally funded research programs. In this study, we aimed to develop a method for classifying CEnR studies that have been submitted to our university's institutional review board (IRB) to capture the level of community involvement in research studies. Tracking studies in which communities are “highly engaged” enables institutions to obtain a more comprehensive understanding of the prevalence of CEnR.

Objective
We aimed to develop an updated experiment to classify CEnR and capture the distinct levels of involvement that a community partner has in the direction of a research study. To achieve this goal, we used a deep learning–based approach and evaluated the effectiveness of fine-tuning strategies on transformer-based models.

Methods
In this study, we used fine-tuning techniques such as discriminative learning rates and freezing layers to train and test 135 slightly modified classification models based on 3 transformer-based architectures: BERT (Bidirectional Encoder Representations from Transformers), Bio+ClinicalBERT, and XLM-RoBERTa. For the discriminative learning rate technique, we applied different learning rates to different layers of the model, with the aim of providing higher learning rates to layers that are more specialized to the task at hand. For the freezing layers technique, we compared models with different levels of layer freezing, starting with all layers frozen and gradually unfreezing different layer groups. We evaluated the performance of the trained models using a holdout data set to assess their generalizability.

Results
Of the models evaluated, Bio+ClinicalBERT performed particularly well, achieving an accuracy of 73.08% and an F1-score of 62.94% on the holdout data set. All the models trained in this study outperformed our previous models by 10%-23% in terms of both F1-score and accuracy.

Conclusions
Our findings suggest that transfer learning is a viable method for tracking CEnR studies and provide evidence that the use of fine-tuning strategies significantly improves transformer-based models. Our study also presents a tool for categorizing the type and volume of community engagement in research, which may be useful in addressing the challenges associated with reporting CEnR metrics.
Diagnosing COVID-19: diagnostic importance of detectingEgene of the SARS-CoV-2 genome
Authors: Barjaktarović Iva , Maletić Jelena Stojčević , Vučinić Nataša , Milutinović Aleksandra , Grujičić Maja , Čabarkapa Velibor 
Published: January 2023

Aim: To evaluate the significance of E gene analysis in addition to N and RdRp genes of SARS-CoV-2, and to compare the specificity and sensitivity of targets. Materials & methods: We used two reverse transcription-PCR assays: one targeting N, E and RdRp and the other targeting N and RdRp genes and analyzed variation in threshold cycle (Ct) values. Results: Of the 155 samples, 70.32% tested positive: all three genes were detected in 45.87%, N and RdRp in 19.27% and only N in 34.86%. Patients negative for the E gene were tested after symptoms disappeared and Ct values were significantly higher. Conclusion: Samples negative for the E gene were potentially false positive and clinical conditions should be assessed while interpreting results.