bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart Shoe Care: Enhancing Drying Efficiency and Material Preservation
Authors: Hadidjaja Dwi , Ahfas Akhmad , Syahrorini Syamsudduha , Ayuni Shazana Dhiya 
Published: April 2023

This scientific article presents a novel approach to address the challenges of shoe drying by developing a controlled shoe drying system. The system utilizes a NodeMCU ESP8266 microcontroller with internet connectivity, enabling monitoring and control of the drying process via a smartphone application. By integrating temperature and humidity sensors, the system optimizes the drying time and prevents damage to shoe materials, thus ensuring the preservation of their quality. The research objectives were to enhance drying efficiency, reduce drying time, and maintain the integrity of shoe materials. Experimental methods involved the design and implementation of the system, followed by rigorous testing and evaluation. The results demonstrated significant improvements compared to conventional shoe dryers, reducing drying time from 1-2 days to an efficient duration. The implications of this research are profound, as the developed system offers a sustainable solution to shoe drying, contributing to the preservation of shoe materials and reducing wastage. The findings have relevance for the global footwear industry, with potential applications in shoe care services and consumer households alike.
Highlights:

Efficient shoe drying: The developed controlled system optimizes the drying process, reducing the drying time significantly compared to conventional methods.

Material preservation: The integrated temperature and humidity control prevents damage to shoe materials, ensuring their quality and longevity.

Smart technology application: The use of NodeMCU ESP8266 microcontroller with internet connectivity enables remote monitoring and control of the shoe drying system, enhancing convenience and accessibility.

Keywords: Shoe drying, Controlled system, Temperature and humidity control, Material preservation, Smart technology.
SOFTWARE nlive: an R Package to facilitate the application of the sigmoidal and random changepoint mixed models
Authors: Capuano Ana , Wagner Maude 
Published: April 2023

Abstract
Background: The use of mixed effect models with a specific functional form such as the Sigmoidal Mixed Model and the Piecewise Mixed Model (or Changepoint Mixed Model) with abrupt or smooth random change allow the interpretation of the defined parameters to understand longitudinal trajectories. Currently, there are no interface R packages that can easily fit the Sigmoidal Mixed Model allowing the inclusion of covariates or incorporate recent developments to fit the Piecewise Mixed Model with random change.
Results: To facilitate the modeling of the Sigmoidal Mixed Model, and Piecewise Mixed Model with abrupt or smooth random change, we have created an R package called nlive. All needed pieces such as functions, covariance matrices, and initials generation were programmed. The package was implemented with recent developments such as the polynomial smooth transition of piecewise mixed model with improved properties over Bacon-Watts, and the stochastic approximation expectation-maximization (SAEM) for efficient estimation. It was designed to help interpretation of the output by providing features such as annotated output, warnings, and graphs. Functionality, including time and convergence, was tested using simulations. We provided a data example to illustrate the package use and output features and interpretation. The package implemented in the R software is available from the Comprehensive R Archive Network (CRAN) at https://CRAN.R-project.org/package=nlive.
Conclusions: The nlive package for R fits the Sigmoidal Mixed Model and the Piecewise Mixed: abrupt and smooth. The nlive allows fitting these models with only five mandatory arguments that are intuitive enough to the less sophisticated users.
A novel framework Optimal Passenger Dispatch Approach using matching based strategy in Ride Sharing Systems
Authors: ALBISHARI MOHAMMAD , Mozammel Md , Almeshari Khalid 
Published: April 2023

Abstract
Ride sharing service known as carpooling service allows passengers to share rides with other passengers and for drivers, to utilize empty seats when serving passengers' orders. With the system provided by smart passenger transportation companies like Didi, Uber has made it flexible for people unable to operate a personal vehicle in large urban places to find a ride at a lower price. This system can offer more flexible service with shorter waiting times and higher travel convenience in urban areas, especially in rush hours when regular taxicab services become insufficient. Passenger dispatch and mileage saving are the key problems in the ride-sharing system. This research proposes a novel framework called 'Optimal Passenger Dispatch Approach (OPDA)' in ride-sharing systems based on real time (a) constraints and (b) parameters. This study formulated four real-time constraints and also seven parameters. This approach dispatched a set of new passengers generated in a time epoch and a set of vehicles that are near to the new passenger's origin and satisfy all constraints without violating the constraints of the involved parties. This study conducted a matching-based vehicle recommendation approach (OPDA), which considers multiple objectives of drivers, passengers, and the platform. Passengers and vehicles treated as nodes of a bi-graph, and a maximum weighted matching leads to dispatch the orders. The objectives have been set to overcome the constraints and improve the system by considering highest number of parameters that have valuable impacts. We demonstrated the significance of ride-sharing compared to regular non-shared vehicle service and nearest vehicle recommendation based on a simulation model of both systems.
Single-cell RNA sequencing of human non-hematopoietic bone marrow cells reveals a unique set of inter-species conserved biomarkers for native mesenchymal stromal cells
Authors: Fiévet Loïc , Espagnolle Nicolas , Gerovska Daniela , Bernard David , Syrykh Charlotte , Laurent Camille , Layrolle Pierre , De Lima Julien , Justo Arthur , Reina Nicolas , Casteilla Louis , Araùzo-Bravo Marcos J , Naji Abderrahim , Pagès Jean-Christophe , Deschaseaux Frederic 
Published: April 2023

Abstract
Background Native bone marrow (BM) mesenchymal stem/stromal cells (BM-MSCs) participate in generating and shaping the skeleton and BM throughout the lifespan. Moreover, BM-MSCs regulate hematopoiesis by contributing to the hematopoietic stem cell niche in providing critical cytokines, chemokines and extracellular matrix components. However, BM-MSCs contain a heterogeneous cell population that remains ill-defined. Although studies on the taxonomy of native BM-MSCs in mice have just started to emerge, the taxonomy of native human BM-MSCs remains unelucidated.
Methods By using single-cell RNA sequencing (scRNA-seq), we aimed to define a proper taxonomy for native human BM non-hematopoietic subsets including endothelial cells (ECs) and mural cells (MCs) but with a focal point on MSCs. To this end, transcriptomic scRNA-seq data were generated from 5 distinct BM donors and were analyzed together with other transcriptomic data and with computational biology analyses at different levels to identify, characterize and classify distinct native cell subsets with relevant biomarkers.
Results We could ascribe novel specific biomarkers to ECs, MCs and MSCs. Unlike ECs and MCs, MSCs exhibited an adipogenic transcriptomic pattern while co-expressing genes related to hematopoiesis support and multilineage commitment potential. Furthermore, by a comparative analysis of scRNA-seq of BM cells from humans and mice, we identified core genes conserved in both species. Notably, we identified MARCKS, CXCL12, PDGFRA, and LEPR together with adipogenic factors as archetypal biomarkers of native MSCs within BM. In addition, our data suggest some complex gene nodes regulating critical biological functions of native BM-MSCs together with a preferential commitment toward an adipocyte lineage.
Conclusions Overall, our taxonomy for native BM non-hematopoietic compartment provides an explicit depiction of gene expression in human ECs, MCs and MSCs at single-cell resolution. This analysis helps enhance our understanding of the phenotype and the complexity of biological functions of native human BM-MSCs.
Prediction of Stability Coefficient of Open-Pit Mine Slope Based on Artificial Intelligence Deep Learning Algorithm
Authors: Wang Shuai , Zhang Zongbao , Wang Chao 
Published: April 2023

Abstract
The mining of open pit mines is very common in China, and there are many cases of landslide accidents. Therefore, the problem of slope stability is highlighted. The stability of the slope is a factor that directly affects the mining efficiency and the safety of the entire mining process. According to statistics, there is a 15 percent chance of finding landslide risks in China's large-scale mines. And due to the expansion of the mining scale of the enterprise, the problem of slope stability has become more and more obvious, which has become a major subject in the study of open-pit mine engineering. In order to better predict the slope stability coefficient, this study takes a mine in China as a case to deeply discuss the accuracy of different algorithms in the stability calculation, and then uses a deep learning algorithm to study the stability under rainfall conditions. The change of the coefficient and the change of the stability coefficient before and after the slope treatment are experimentally studied on the displacement of the monitoring point. The result shows that the safety coefficient calculated by the algorithm in this paper is about 7% lower than that of the traditional algorithm. In the slope stability analysis before treatment, the safety factor calculated by the algorithm in this paper is 1.086, and the algorithm in this paper is closer to reality. In the stability analysis of the slope after treatment, the safety factor calculated by the algorithm in this paper is 1.227, and the stability factor meets the requirements of the specification. It also shows that the deep learning algorithm effectively improves the efficiency of the slope stability factor prediction and improves Security during project development.
Intersectional gender analysis for inclusive health system in Nepal; taking Tuberculosis as a case example – Where we are and what can be done?
Authors: Parajuli Ayuska , Kakchapati Sampurna , Arjyal Abriti , Joshi Deepak , Kharel Chandani , Barrio Mariam Otmani del , Baral Sushil C 
Published: April 2023

Abstract
Background

Tuberculosis (TB) remains a major public health problem in low- and middle-income countries. As of 2021, Nepal is one of the high TB burden countries, with an increasing prevalence of cases. Literature suggests disparities in access to and utilization of health services and health status of people based on gender and other social stratifiers, leading to inequities in Nepal. TB is a disease, which is high among settings with common practice of gender and social inequities. This study aimed to a) explore inclusiveness of gender and other social stratifiers in the key health related national policies and health management information system (HMIS) b) to conduct disaggregated and intersectional analysis of the tuberculosis cases enrolled in the National Tuberculosis Programme (NTP).

Methods

Desk review of key policies and HMIS was conducted. Secondary data analysis was carried out from two data sources i.e. annual report data of NTP (2017–2021) and 628 recorded tuberculosis cases from two Directly-Observed Therapy, Short-course (DOTS) centres (2017/18-2018/19). Bivariate and multivariate analysis was carried out to measure association between social stratifers and types of TB, patient registration category and treatment outcome.

Results

While the NTP has initiated collecting data on age, sex, ethnicity and location since 2014/15 through the HMIS, limited data was available to unmask the role of other social determinants of TB. Similarly, various TB data have remained static as they were not analyzed and disseminated in annual report. National data showed sex and age wise variation among reported TB patients. Association between sex of the patient and types of tuberculosis (p < 0.05) was identified. Age and sex were associated with patients’ registration category during the time of enrolment into the TB treatment (p < 0.05). Significantly, higher number of males (22%) came for the re-treatment in comparison to females (15%) (p < 0.05). Females had 3.33 times (AOR = 3.33, 95%CI: 1.84–6.01, p < 0.001) higher successful treatment outcome in comparison to male patients. Rate of successful treatment gradually decreased by increase in age among both male and female patients.

Conclusion

Hence, sex was strong predictors of types and treatment outcome of TB. Therefore, suggest integration of an intersectional gender lens into the National TB Control programme and research in order to understand biological and the social construct of gender, as important determinantsas important determinants of TB.
Trial registration: Not Applicable
The Effect of Video-Guided Information on Anxiety and Pain in Extracorporeal Shock Wave Therapy: A Control Group Study
Authors: Özcan Serkan , Yorulmaz Enis Mert , Yilmaz Yüksel , Hamarat Mustafa Bilal , Demirbaş Arif 
Published: April 2023

Abstract
Background/Aims
In the present study, after adapting the Extracorporeal Shock Wave Lithotripsy (ESWL) video produced by the European Association of Urology (EAU) into the Turkish language and showing it to the participating patients, we evaluated the effect on their anxiety and pain levels using the State-Trait Anxiety Inventory (STAI-I) anxiety form and the Visual Analogue Scale (VAS).
Materials and Method
Involved in the study were 59 patients who were evaluated in three centers between 1 July and 1 October, 2020. The patients were divided into two groups, the first of which was asked to fill out a consent form, and was shown the video and provided with verbal and written information; while the second group was provided with a consent form and provided only verbal and written information. Each group completed the STAI-I Anxiety form after being given preoperative information, while the VAS was applied after the procedure. The patients’ age, sex, BMI, stone size, stone surface area, stone side, stone location, stone-to-skin distance, the mean number of shock waves required and fluoroscopy time were compared statistically with the scores of the VAS scores and the STAI-I.
Results
The mean age of the 59 study patients was 40.1 ± 13.1 (16–68); the mean stone size was 12.4 ± 4.5mm, and the mean stone surface area was 99.8 ± 77.4 (15–320). There was no statistical difference in sex, age, BMI, stone size, stone surface area, stone side, stone location or stone skin distance values recorded for the two groups. The STAI-I anxiety form score was higher in Group 1 than in Group 2, and the difference was statistically significant (p = 0.004), and the recorded fluoroscopy time and VAS scores were lower in favor of Group 1 (p = 0.045 and p = 0.021) (Table 1).
Conclusion
Although the provision of video-guided information before ESWL led to an increase in anxiety in the patients, compliance during the procedure was improved, and the total fluoroscopy time and pain scores of the patients were decreased.
Physiological indices, productivity and profitability assessment at varying nitrogen levels of wheat under conservation agriculture
Authors: Tripathi S. C. , Mamrutha H. M. , Venkatesh Karnam , Meena Raj Pal , Kumar Nitesh , Samota Shiv Ram , Singh Gyanendra 
Published: April 2023

Abstract
Conservation agriculture (CA) is a promising management practice adopted by spring wheat growers in the Indo-Gangetic plains (IGPs) of India, particularly in areas where residue burning is prominent. Effective nitrogen management is essential to achieve maximum profitable wheat yield under CA to promote agricultural sustainability. A field experiment conducted during the winter seasons of 2020-21 and 2021-22 comprising seven treatments with varying nitrogen doses from 0 to 250 kg/ha was used to find the best nitrogen management strategy. Instrument-based physiological indices, including the chlorophyll content index (CCI), NDVI, Dualex meter-based values, and flavonoids, were used to investigate the relation between these indices and growth stages. Increasing nitrogen levels from 0 to 250 kg/ha resulted in increased growth and physiological indices. However, the increase beyond 150 with or without CA was non-significant in case of many indices. The enriched treatment (250 kg N/ha) recorded a lower grain yield (5123 kg/ha) compared to 100 kg N/ha treatments (5595 kg/ha). The thousand-grain weight was also found to be reduced by 21.2% in 250 kg N compared to the 150 kg N treatment. The application of 200 kg/ha N under CA produced a significantly higher (9.6%) increase in grain yield (6673 kg/ha) compared to the farmer's practice of 150 kg N/ha. Applying 150 kg N/ha under CA increased grain yield by 231 kg/ha over the same N level without CA, although the difference was non-significant. The application of 200 kg N/ha under CA yielded the highest gross return (2271.8 $/ha), net return (1545.0 $/ha), and B:C (3.1) due to the reduced cost of cultivation in CA and maximum grain yield. Additionally, if this technology is adapted to 13.5 m ha rice-wheat area in South Asia then additional net return from 200kg N/ha application under CA over farmers practice will be $3.27 billion annually, which is huge amount. Therefore, using 200 kg N/ha under CA can further increase grain yield, productivity, and profitability per unit area. However, for resource-limited growers in rice-wheat growing areas, 150 kg N/ha under CA can still be a viable and economically sound option.
Gall bladder papillary carcinoma presenting as cholecystocolic fistula and metastasizing to pericholecystic lymph node-An incidental and rare finding- A case report.
Authors: Saraf Pallavi , BHARTI JYOTSNA NARESH 
Published: April 2023

Abstract
Introduction: Gall bladder papillary carcinoma (GBPA) is a distinct variant of gall bladder carcinoma with a favorable outcome in contrast to the conventional Gall bladder adenocarcinoma (GBA).
Case Presentation: We herein present a case of a 51-year-old female patient who had abdominal pain off and on for one month. Computed tomography (CT) scan of the abdomen revealed features of chronic cholecystitis with thickened gall bladder wall. Cholecystectomy of the patient revealed an invasive papillary adenocarcinoma with metastasis to the pericholecystic lymph node. The patient was given chemotherapy and doing well for the past two years and is free of any disease recurrence.
Conclusion: The (GBPA) is uncommon and usually comprises of 5% of conventional (GBA). It is usually detected at an early stage with less propensity to metastasis. Therefore, clinicians and pathologists must accurately diagnose this as a separate entity to avoid unnecessary aggressive treatment or reduce morbidity.
The effect of high-protein and low-calorie diets on sleep quality in individuals with obesity
Authors: Javaheri Fatemeh Sadat Hashemi , Ostadrahimi Alireza , Nematy Mohsen , Amini Mahnaz , Mahmoudifar kamiar 
Published: April 2023

Abstract
Obesity, defined as excess body fat, has become a global epidemic, especially in low- and middle-income countries. Sleep problems are among the complications faced by obese individuals, although such problems are not very common. Previous studies indicate that obese individuals have a significantly greater likelihood of developing insomnia and other sleep disorders. Meanwhile, there is growing scientific evidence that diet and sleep may be related, and that weight loss can improve sleep quality and sleep-related indexes. In order to improve sleep quality and alleviate sleep disorders, this study examined the effects of weight loss diets on sleep quality in obese individuals. The literature indicates that sleep quality and sleep-related indexes are improved by weight loss. Compared with a low-fat diet, a very low-carbohydrate diet (VLCD) does not adversely affect cardiovascular risk factors for short-term weight loss. When weight loss is combined with VLCD, obstructive sleep apnea (OSA) can be improved.
Synergistic Effect of Ultrasonic and Fungal Pretreatment on Enzymatic Saccharification of Switchgrass
Authors: Olughu Onu Onu , Tabil Lope G. , Dumonceaux Tim , Mupondwa Edmund , Cree Duncan 
Published: April 2023

Abstract
Biological pretreatment of cellulosic biomass is preferred to conventional methods because it is environmentally friendly. However, low pretreatment efficiency and long residence time associated with biological pretreatment limit its commercialization. The current study assessed the effect of ultrasonication and its combination with solid-state fermentation using an engineered mutant strain of the white rot fungus, T. versicolor (Tv m4D), on the enzymatic digestibility of switchgrass. Response surface approach featuring a four-factor, three-level Box Behnken experimental design was used to determine the optimum ultrasonic pretreatment conditions in terms of cellulose and hemicellulose composition and total solid recovery (TSR) of switchgrass. Ultrasonic pretreatment altered the holocellulose composition of switchgrass and resulted in biomass loss. The highest holocellulose degradation and material loss were obtained at acoustic power of 180 W. The effect of ultrasonication on the efficiency of enzymatic hydrolysis was minimal compared to fungal pretreatment. Ultrasonic-assisted enzymatic saccharification of switchgrass led to a 3.1- and 2.3-fold increase in cellulose digestion relative to the untreated and ultrasonic-assisted fungal pretreated switchgrass samples, respectively.