bluuebunny/crossref_metadata_2025_split huggingface dataset:
Losing ground in the field: An exploratory analysis of the relationship between work and mental health amongst women in conflict affected Democratic Republic of the Congo
Authors: Vaillant Julia , Kalra Naira , Gurbuz Cuneo Alev , Rouanet Léa 
Published: April 2023

Background
Conflict affected populations, in particular women in such settings, face an increased risk of developing mental health disorders as well as well as economic vulnerability and reduced productivity. However, the link between the two has rarely been studied.

Data and methods
The data in this paper come from a cross-sectional dataset (n = 1053) and a panel dataset of (n = 499) women suffering from post-traumatic stress disorder (PTSD) in eastern Democratic Republic of the Congo. This paper investigates the association between mental health disorders (PTSD, depression and/or anxiety) and employment for women in a conflict-affected setting.

Results
The study finds that worsened local functioning is associated with reduced likelihood of working, earnings, and engagement in paid work. Reduction in probable depression and/or anxiety and PTSD are both associated with increased likelihood of engaging in paid work compared to unpaid work. Reduction in probable depression and/or anxiety is also associated with engaging in a secondary economic activity, as well as with higher productivity. However, when controlling for daily (local) functioning impairment, the primary pathway through which mental health may impact working, we detect a positive relationship between work or working hours and increased symptoms of PTSD and depression and/or anxiety. Working women with worse PTSD and depression and/or anxiety symptoms are also less likely to be self-employed, especially in an off-farm setting, and more likely to be engaged in farming.

Conclusion
A complex relationship between working and mental health emerges. Our findings also suggest that in this population farming, particularly farm-based wage work, is positively associated with worse mental health even after accounting for wealth and other relevant socio-demographic factors. These findings highlight the importance of paying close attention to the mental health of beneficiaries of livelihood support projects in post-conflict settings, where the relationship between mental health and employment is not straightforward.
What do hospital-based health professionals need and expect from an mHealth app to support the first 1000 days of life? Results from a cross sectional study
Authors: Brunelli Laura , Dobrina Raffaella , De Vita Chiara , Mazzolini Elena , Verardi Giuseppa , Bussolaro Sofia , Degrassi Maura , Hervatich Giulia , Piazza Maria , Strajn Tamara , Cassone Andrea , Starec Anja , Ricci Giuseppe , Zanchiello Sara , Stampalija Tamara 
Published: April 2023

Background
Several attempts have been made to introduce mHealth solutions to support maternal, newborn, and child health (MNCH). However, most of the available apps do not meet the needs of end-users, underscoring the urgency of involving them in the co-design of telehealth interventions.

Objective
With this in mind, we investigated the needs and expectations of hospital-based health professionals (i.e., secondary users) providing care to pregnant women and new mothers with their babies for a hypothetical mHealth app to support the first 1000 days of life.

Methods
From November 2021 to March 2022, we surveyed health professionals using a questionnaire that explored the perceived importance of specific content, functionalities, and technical features of the proposed app. We also collected sociodemographic information from secondary users. We performed descriptive analysis and then used Ward hierarchical clustering method to classify respondents according to their response patterns.

Results
We recorded the needs and expectations of 145 hospital-based health professionals from obstetrics/gynecology, nursery/neonatology, and pediatrics. We found general agreement with the proposed content of the app, particularly general information about health during pregnancy (92%) and potential risky infections during pregnancy (91%). Three clusters emerged from the analysis, with the high and medium demanding clusters rating the importance of app content and technical features as very high and high, respectively, while low demanding cluster expressing more skepticism, especially about some of the proposed functionalities of the app.

Conclusions
Assessing the needs and expectations of end-users is an essential process for developing tailored and effective mHealth solutions. This study has shown that hospital-based health professionals generally recognize the value of the proposed app, suggesting their propensity to integrate such a telehealth solution into mainstream clinical practice.
Risk of cancer in patients with insomnia: Nationwide retrospective cohort study (2009–2018)
Authors: Yoon Kichul , Shin Cheol Min , Han Kyungdo , Jung Jin Hyung , Jin Eun Hyo , Lim Joo Hyun , Kang Seung Joo , Choi Yoon Jin , Lee Dong Ho 
Published: April 2023

PurposeTo investigate the association between insomnia and the risk of various cancers using the Korean National Health Insurance Service database.Materials and methodsPatients who underwent a national health examination in 2009 were followed-up until 2018. Newly-diagnosed cancers were collected one year after the baseline. Insomnia was defined as having a diagnosis of F510 or G470 within one year prior to enrollment. The incidence of various cancers was compared between patients with and without insomnia.ResultsIn the overall study population (N = 3,982,012), the risk for any type of cancer was not different between controls and insomnia patients (adjusted hazard ratio [aHR]: 0.990). However, it was different by age; insomnia increased the risk of any cancer in younger age groups (20–39y and 40–59y, aHR:1.310 and 1.139, respectively) but it significantly decreased the risk in the 60–79y age group (aHR: 0.939). In cancer type, colorectal cancer risk was lower (aHR: 0.872,P< 0.0001), whereas leukemia risk was higher (aHR: 1.402,P< 0.0001) in patients with insomnia than in those without it, regardless of sex. In men, the risk of stomach cancer was lower (aHR: 0.882,P= 0.0003), and the risks of lung (aHR:1.114,P= 0.0005), kidney (aHR 1.226,P= 0.0107), and prostate (aHR:1.101,P= 0.0028) cancers were higher in insomnia patients than in control patients. In women, insomnia patients compared to control patients showed a lower risk of ovarian cancer (aHR:0.856,P= 0.0344, respectively), while they had a higher risk of oral (aHR:1.616,P= 0.002), thyroid (aHR:1.072,P= 0.0192), and nerve (aHR: 1.251,P= 0.016) cancers.ConclusionInsomnia is associated with an increased or decreased risk of some cancers, depending on age, cancer type and sex.
Effects of short birth interval on different forms of child mortality in Bangladesh: Application of propensity score matching technique with inverse probability of treatment weighting
Authors: Islam Mohammad Zahidul , Rahman Md. Mostafizur , Khan Md. Nuruzzaman 
Published: April 2023

Background
The prevalence of Short Birth Interval (SBI) is higher in Low- and Middle-Income countries (LMICs), including Bangladesh. Previous studies in LMICs have estimated the effects of SBI on child mortality by comparing two unequal groups of mothers based on their socio-economic status. This approach may lead to overestimation or underestimation of the true effect of birth interval on child mortality, particularly when sample sizes are relatively small.

Objective
We determined the effects of SBI on several forms of child mortality in Bangladesh by comparing two equal groups created by applying the propensity score matching technique.

Methods
This study analyzed data from 5,941 mothers and 1,594 health facilities extracted from the 2017/18 Bangladesh Demographic and Health Survey and the 2017 Bangladesh Health Facility Survey. The exposure variable was SBI (defined as the interval between two subsequent births <33 months: yes, no), while the outcome variables were neonatal mortality (defined as mortality within 28 days of birth: yes, no), infant mortality (defined as mortality within 1 year of birth: yes, no), and under-five mortality (defined as mortality within 5 years of birth: yes, no). Multilevel Poisson regression based on inverse probability treatment weights was used to determine the association between exposure and outcome variables.

Results
The prevalence rates of neonatal, infant, and under-five mortality were 48.8, 30.8, and 23.1 per 1000 live births, respectively. Newborns of SBI mothers were found to have a 63% higher likelihood of neonatal mortality (aPR, 1.63; 95% CI, 1.08–2.46) compared to newborns of non-SBI mothers. Furthermore, the prevalence of infant mortality and under-five mortality was 1.45 times higher (aPR, 1.45; 95% CI, 1.01–2.08) and 2.82 times higher (aPR, 2.82; 95% CI, 2.16–3.70), respectively, among babies born in a short interval of their immediately preceding sibling as compared to babies born in a normal interval of their immediately preceding sibling.

Conclusions
Findings of this study indicate that SBI is an important predictor of child mortality. Consequently, around 1 million children born in a short interval every year in Bangladesh are at risk of dying before reaching their fifth birthday. This indicates a challenge for Bangladesh to achieve the SDG 3 target to reduce neonatal and under-five mortality to 12 and 25 deaths per 1000 live births, respectively. Hence, awareness-building programs about the adverse effects of SBI and strengthening existing healthcare facilities are important.
A low power respiratory sound diagnosis processing unit based on LSTM for wearable health monitoring
Authors: Zhou Weixin , Yu Lina , Zhang Ming , Xiao Wan’ang 
Published: April 2023

Abstract
Early prevention and detection of respiratory disease have attracted extensive attention due to the significant increase in people with respiratory issues. Restraining the spread and relieving the symptom of this disease is essential. However, the traditional auscultation technique demands a high-level medical skill, and computational respiratory sound analysis approaches have limits in constrained locations. A wearable auscultation device is required to real-time monitor respiratory system health and provides consumers with ease. In this work, we developed a Respiratory Sound Diagnosis Processor Unit (RSDPU) based on Long Short-Term Memory (LSTM). The experiments and analyses were conducted on feature extraction and abnormality diagnosis algorithm of respiratory sound, and Dynamic Normalization Mapping (DNM) was proposed to better utilize quantization bits and lessen overfitting. Furthermore, we developed the hardware implementation of RSDPU including a corrector to filter diagnosis noise. We presented the FPGA prototyping verification and layout of the RSDPU for power and area evaluation. Experimental results demonstrated that RSDPU achieved an abnormality diagnosis accuracy of 81.4 %, an area of 1.57 × 1.76 mm under the SMIC 130 nm process, and power consumption of 381.8 μW, which met the requirements of high accuracy, low power consumption, and small area.
Impact of storage temperature and time before analysis on electrolytes (Na+, K+, Ca2+), lactate, glucose, blood gases (pH, pO2, pCO2), tHb, O2Hb, COHb and MetHb results
Authors: Puravet Antoine , Rieu Benjamin , Phere Camille , Kahouadji Samy , Pereira Bruno , Jabaudon Matthieu , Andanson Benjamin , Brailova Marina , Sapin Vincent , Bouvier Damien 
Published: April 2023

Abstract

Objectives
The objective of our study is to evaluate the effect of storage temperature and time to analysis on arterial blood gas parameters in order to extend the CLSI recommendations.

Methods
Stability of 12 parameters (pH, pCO₂, pO₂, Na+, K+, Ca2+, glucose, lactate, hemoglobin, oxyhemoglobin, carboxyhemoglobin, methemoglobin) measured by GEM PREMIER™ 5000 blood gas analyzer was studied at room temperature and at +4 °C (52 patients). The storage times were 30, 45, 60, 90 and 120 min. Stability was evaluated on the difference from baseline, the difference from the analyte-specific measurement uncertainty applied to the baseline value, and the impact of the variation on the clinical interpretation.

Results
At room temperature, all parameters except the lactate remained stable for at least 60 min. A statistically significant difference was observed for pH at T45 and T60 and for pCO2 at T60 without modification of clinical interpretation. For lactate, clinical interpretation was modified from T45 and values were outside the range of acceptability defined by the measurement uncertainty. All parameters except pO2 remained stable for at least 120 min at +4 °C.

Conclusions
A one-hour transport at room temperature is compatible with the performance of all the analyses studied except lactate. If the delay exceeds 30 min, the sample should be placed at +4 °C for lactate measurement. If the samples are stored in ice, it is important to note that the pO2 cannot be interpreted.
Value of monocyte distribution width for predicting severe cholecystitis: a retrospective cohort study
Authors: Kao Chih-Hao , Liu Yen-Hung , Chen Wei-Kung , Huang Fen-Wei , Hsu Tai-Yi , Cheng Han-Tsung , Hsueh Po-Ren , Hsiao Chiung-Tzu , Wu Shih-Yun , Shih Hong-Mo 
Published: April 2023

Abstract

Objectives
Acute cholecystitis is a gallbladder inflammation, and the Tokyo Guidelines 2018 (TG18) can be used to predict its presence and severity with high sensitivity and specificity. However, TG18 grading require the collection of excessive parameters. Monocyte distribution width (MDW) is a parameter used to detect sepsis early. Therefore, we investigated the correlation between MDW and cholecystitis severity.

Methods
We conducted a retrospective study of patients with cholecystitis admitted to our hospital from November 1, 2020, to August 31, 2021. The primary outcome was severe cholecystitis analyzed as a composite of intensive care unit (ICU) admission and mortality. The secondary outcomes were length of hospital stay, ICU stay, and TG18 grade.

Results
A total of 331 patients with cholecystitis were enrolled in this study. The average MDWs for TG18 grades 1, 2, and 3 were 20.21 ± 3.99, 20.34 ± 3.68, and 25.77 ± 6.61, respectively. For patients with severe cholecystitis, the average MDW was 25.42 ± 6.83. Using the Youden J statistic, we set a cutoff MDW of 21.6. Multivariate logistic regression revealed that patients with an MDW≥21.6 had a higher risk of severe cholecystitis (odds ratio=4.94; 95 % CI, 1.71–14.21; p=0.003). The Cox model revealed that patients with an MDW≥21.6 were more likely to have a prolonged hospital stay.

Conclusions
MDW is a reliable indicator of severe cholecystitis and prolonged length of stay. Additional MDW testing and a complete blood count may provide simple information for predicting severe cholecystitis early.
Optimization of Coulomb glass system using quenching and annealing at small disorders
Authors: Sharma Nidhi , Malik Vikas 
Published: April 2023

Abstract
In this paper we have used Monte Carlo simulations to study the two dimensional Coulomb glassmodel at half filling. The simulations were carried out using the Metropolis algorithm at zero and small finite disorder. We have used two protocols namely quenching and annealing to find the ground state of the system. In the quenching protocol at zero disorder, we looked at the effect of temperature on the efficiency of finding the ground state. The efficiency does not improve by decreasing the temperature. Since efficiency for quenching protocol was very low, we then used the annealing protocol to find the minimum energy state of the system. The annealing protocol was much more efficient than the quenching procedure. At finite disorder less than the critical disorder, the efficiency of the quenching protocol decreased compared to the zero disorder case. These results have been discussed in terms of domain theory and the density of states.
A Comparative Analysis of “Rural Science Fiction”, a New Chinese Film Genre
Authors: Huang Mingfen , Xiang Lingling 
Published: April 2023

Abstract
“Rural Science Fiction” (RSF) is a new category of science fiction comedy film, which has recently emerged in China. In RSF, modern farmers are presented as the protagonist, and alien visitors as the other. In the context of changing rural environments, two opposing views are expressed, which leads to a unique comedy: on the one hand, the vision of longing inspired by the trends of commercialization, industrialization, and urbanization; and on the other hand, the worthlessness of these trends. In RSF, thoughts concerning the prospect of technology, the future of human beings, and the interstellar interactions are mainly carried out from the perspective of country folks, whose wisdom is shown through indigenous methods that are adapted to local conditions. As a result, the “low-tech” earthmen typically defeat the “high-tech” aliens.
The Transcendental Phenomenological Argument against Eternalism
Authors: Bernáth László , Inan Daniel Haydar 
Published: April 2023

AbstractIn this paper, we argue against eternalism on the basis of certain phenomenological considerations regarding our experiential life in a relatively novel way. Contrary to well-known phenomenological arguments that attempt to refute tenseless theories of time, our argument that we call the Transcendental Phenomenological Argument against Eternalism is against both tenseless and tensed versions of eternalism. The argument is based on the fact that one experiences a phenomenologicalsuccessionof experiences, and it shows that perdurantist forms of eternalism have to either deny this fact or should embracead hocand metaphysically implausible assumptions about the nature of the mind. As we argue, neither of these options seems to be too promising.
Recent advances in developing tetrathiafulvalene analogs of electrode materials: discovery of an in-cell polymerization technique
Authors: Yoshimura Aya , Misaki Yohji 
Published: April 2023

Abstract
Lithium-ion batteries are attractive for their use in portable electronics and electric vehicles owing to their high energy and power density. Organic materials as active materials for the positive electrode have attracted attention as an alternative to inorganic materials in sustainable batteries. However, there is a serious drawback that elution into the electrolyte solution. This article describes our attempts in the development of tetrathiafulvalene (TTF) analogs for active materials. We have developed four types of fused TTF systems; multifused TTF systems, TTF analogs extended with cyclohexene moieties, TTF analogs extended with an anthraquinoid spacer, and fused TTF and benzoquinone systems. These molecules were designed based on the idea that increasing the size and planarity of the molecules and intermolecular interactions. They were successfully synthesized and their cell performances were clarified. We also describe that a TTF analog bearing triphenylamines was applied to long-cycle-life electrodes as a recent effort. This molecule was successfully synthesized using palladium-catalyzed C-H arylation and the cycle life of the cells comprising this molecule was markedly improved by in-cell electropolymerization.
Application of vibration compensation based on image processing in track displacement monitoring
Authors: Yu Ping , Wang Honglin 
Published: April 2023

Abstract
The track state detection is of great significance to timely understand the operation state of track and find track defects and prevent operation accidents. This article initially analyzes the key technologies of track detection system and then proposes an image detection technology and image processing method for analyzing track detection at home and abroad, thus putting forward the scheme of track detection using image processing. The characteristics of onsite track images are analyzed, and a track state detection system based on track image preprocessing, image position correction, image defect comparison, and track section size measurement is designed in this article. Further in this article, a study of image linear transformation, noise filtering, defect recognition, and edge detection in track image processing is applied. Furthermore, a robust piecewise linear transformation is designed using the combination of image threshold transformation and image gray transformation. It reduces the loss of detailed information in the process of image processing. The center point of track bright band is determined by the image region segmentation method, which effectively reduces the error of image track measurement and improves the measurement accuracy.
Synergistic effect in bimetallic gold catalysts: recent trends and prospects
Authors: Mkhondwane Siphumelele T. , Pullabhotla Viswanadha Srirama Rajasekhar 
Published: April 2023

Abstract
Bimetallic gold (Au) catalysts present an exceptional development trend toward enhancing the catalytic efficiency of the Au based catalysts. The aim of this review is to provide an insight into synergic effect of the bimetallic Au catalysts in enhancing the efficiency of various processes. The review covers some important aspects involving the effect of particle size, composition, metal-support interaction, morphology and the interaction between Au atom and the secondary metal on catalytic properties of the bimetallic Au catalysts. Particularly, the effect of the core–shell and faceted bimetallic Au catalysts morphologies are clearly articulated in the introduction. In the next section, various spectroscopic and microscopic characterization techniques, which often form a basis for the discussion of the synergic effect of the catalysts in enhancing the process efficiency are also discussed. Finally, we provide a summary on the progress made in catalytic exploration of bimetallic Au catalysts focusing in oxidation of hydrocarbons, fuel cell processes, oxidative transformation of the biomass derived products and photocatalysis.
Detection of iodine in aqueous extract of plants through modified Mohr’s method
Authors: Azmat Rafia , Bano Rohi , Moin Sumeira , Ahmed Tahseen , Saleem Ailyan , Ahmed Waseem 
Published: April 2023

Abstract
This article explores the extraction of iodine contents in Ipomoea pes-caprae plants using the modified Mohr’s method applied to a biological extract prepared in an aqueous solution. The plants were collected from three coastal regions of the Arabian Sea at Karachi coast, privileged as iodine resource areas. The size of the stem, leaves, and flowers of collected plants was measured after transportation into the laboratory before preparation of aqueous extract. It was found to be significantly different in size from each other. The electrical conductivity of the biological extract was recorded through a conductometer. For this purpose, the extract of different parts of the I. pes-caprae plants was prepared, followed by heating and filtration, while silver nitrate (AgNO3) was used as a precipitating agent. It was interesting to note that when filtrate was titrated with AgNO3, the precipitate started to settle down. Results showed the lowest iodine concentration in the flowers of all tested plants, followed by the highest in the leaves. Conductometric precipitation reaction was influential in determining iodine in herbal medicinal plants. It was observed that the size of the plants and collection sites impacted the iodine concentration. It was lowest in I. pes-caprae, collected from sea view Karachi, while highest in plants of Hawksbay. The endpoint of this biochemical reaction was taken when conductivity started rising. The standard curve of KI was prepared to determine the concentration of iodine in plant samples through conductometric titration. Moreover, the presence of Iodine was confirmed through a chemical testing method using HNO3, NH4OH, and H2SO4, after a complete precipitation reaction. The iodine quantification was done using a spectrophotometer through hexane solvent after being treated with H2SO4.