bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unravelling the Threads of Ultra-Poverty: A Closer Look at Applique Artisans in Village Ghoradia, Orissa
Authors: Deb Dr Sukamal 
Published: October 2023

The village Ghoradia in Puri district, Orissa has more than 1500 families. For ages most of these families, which are mostly from the Dalit community have been trapped by ultra-poverty. In July this year I had the opportunity to visit the village..
A meeting with the artisans of the village was pre-planned, yet we could not find any spacious room in any of their houses where we could conduct this meeting. It was a cramped room where we finally settled, we wanted to discuss with wider cross-section of the artisans, but for these limitations, we had interaction with just 15 applique women artisans on the mud floor as the last option. I had been eager to understand the socio-economic dynamics, absorb the stories that moulded their lives, I was restless to know their stories from their mouths, not from elsewhere. The women folk of this village work on applique. In fact, applique craft is famous in the entire district with Pipili as its hub. The Pipili is no more a village, gradually growing to a commercial destination, a small town for applique related business. Applique is also known as Chandua. The word applique comes from the French word appliquer, meaning “to put on”. In my career as rural development professional, for more than three decades, I always realised that unless you are being accepted, you are being trusted, and you can’t work with them. Returning to hotel, Crystal Urban Park, Bhubaneswar, late night I wrote a brief Facebook post on July 3, 2023 promising to develop a story soon on them as gesture of my gratitude.
I also visited Dhanakera village. Many of the artisans of Dhanakera panchayat are in ultra-poverty, deprived for ages, the villagers depend on agriculture as their main source of income, mostly marginal farmers. To add to their difficulties, most of their agricultural lands are flood affected, the poor farmers say, there is no mechanism to dispose-off the rain water, of this water-logged areas, as a result of recurrent floods, they have been suffering for long. By the country sides there I could see many people of working age are just gossiping or sitting idle. Under the pressing situations applique works are the livelihood for the women folk, it is hardly men’s job. Yet, applique items are slow moving items, hardly fetches any remunerative value. The women whom I interacted said the produces in the applique cluster are damped for dearth of market since 2020, this blocked their working capital; render the women artisans out of job.
What is needed is immediate intervention in terms of design inputs, creating e-commerce platform, finding new markets and educating them on UPI mode of business transactions. The present project of Foundation for MSME Clusters aims to address the gamut of these issues.
This is a case study on the applique artisans, they all are women. The study aims at Unravelling the Threads of Ultra-Poverty: A Closer Look at Applique Artisans in Village Ghoradia, Orissa
Regional features of hospitalizations and outpatient medical care among adults with established hypertension
Authors: Shepel R. N. , Kolesnokova M. I. , Lusnikov V. P. , Kontsevaya A. V. , Drapkina O. M. 
Published: October 2023

Aim. To analyze the indicators of hospitalization and outpatient visits of patients aged 18 years and older with hypertension (HЕТ) in federal districts (FD) and subjects of the Russian Federation from the perspective of the World Health Organization concept of ambulatory care sensitive conditions.Material and methods. The analysis included data from the annual forms of federal statistics (forms № 12 and № 14), on the number of hospitalizations and the outpatient visits of patients aged 18 years and older diagnosed of HTN (ICD10: I10-I12) in 2022. Results. We analyzed the data of the federal statistics (forms № 12 and № 14) of the FDs and subjects of the Russian Federation in 2022. It was found that the Siberian FD has one of the highest rates of adult outpatient visits with HЕТ aged 18 years and older, where, at the same time, one of the lowest rates of hospitalizations is recorded. In FDs with adult outpatient visits higher than the Russian average, there were higher adult hospitalization than the Russian average (Ural, Central and Volga FDs). In FDs with adult outpatient visits lower than the Russian average, there were higher adult hospitalization than the Russian average (South, North Caucasus and Far East FDs). In the Northwestern FD, adult outpatient visits and adult hospitalization were lower than the Russian average. When analyzing the HTN ratio among the adult population aged 18 years and older, the highest indicator was recorded in the North Caucasus FD, while the heterogeneity of the indicator within the FD was one of the highest among the other FDs. The lowest HTN ratio indicator among the adult population aged 18 years and older was recorded in the Ural FD, while the heterogeneity of the indicator within the FD was the lowest among the other FDs. There was a high variability of the ratio both for all subjects of the Russian Federation and FDs. The ratio values ranged from 1,2 in the Nizhny Novgorod region to 12,26 in the Republic of Dagestan.Conclusion. Accounting for diseases that can be treated on an outpatient basis can help to assess the quality of care to the adult population in primary health care facilities. However, before including this indicator as a quality criterion, a deeper understanding of the reasons influencing its change is required.
Analysis of the technical level of gear hydraulic machines of «Hydrosyla» JSC
Authors: Avrunin Grygoriy , Moroz Irina 
Published: October 2023

Target. The study of the design, hydraulic circuits of aggregation, technical characteristics and requirements for the operation of gear hydraulic machines manufactured by the domestic enterprise "Hydrosila" and their comparison with leading manufacturers. Today, gear pumps and hydraulic motors are widely used in various industries, including in the sector of machines for mobile applications: tractors, road construction and lifting and transport machines, machines for airport maintenance, etc.
Method. Analysis of the standard size ranges of pumps and hydraulic motors according to the main technical parameters, including the pressure developed, the supply of the working fluid, torque, rotational speed and output power and overall weight indicators, as well as hydraulic circuit diagrams of aggregation by overload protection and energy saving devices.
Results. A wide range of gear hydraulic machines "Hydrosila" in terms of working volumes, technical characteristics, design features in terms of protection against overloads and energy saving, in particular, the use of a priority valve, allows you to increase the technical level of a whole class of agricultural, road construction, municipal and airfield machines. The given materials will also be useful in the educational process for specialists in mechanical engineering who study hydraulic fluid power drive as a means of raising the technical level of various machines and mechanisms.
Method of determining of reasonable tire sizes for wheeled agricultural tractors
Authors: Rebrov Oleksii , Malko Maksym , Rebrova Anastasiia , Yakunin Maksym 
Published: October 2023

The article presents the method of determining rational tire sizes for wheeled agricultural tractors, which includes several stages. At the first stage, from the broad nomenclature of tires, the sizes that do not satisfy the compositional restrictions on the outer diameter, profile width and mounting diameter are excluded from consideration. At the second stage, tires that have not passed the load capacity and estimated value of the maximum pressure on the soil are excluded from consideration. At the third stage, the indicators of net productivity and fuel consumption per hectare are determined in fallow and no-fall tillage. Along with this, the maximum pressure on the soil and the probability of fulfilling the agro-ecological requirements by the tractor regarding the maximum pressure on the soil in the spring and summer-autumn periods are determined according to the specified methods.
On the basis of the obtained data, a tractor efficiency criterion was formed on the appropriate tires, which includes the components of traction efficiency and environmental safety of the tractor. According to the proposed criterion, the perspective of using the existing tire sizes that have passed the specified inspections is evaluated. To obtain complete information, the method also involves determining the expediency of using dual or triple tires and ballasting the tractor. According to the proposed method, a prospective study of the use of tire sizes for the KhTZ-160U tractor was conducted.
Dual Versus Single Plate Fixation of Displaced Midshaft Clavicle Fractures
Authors: Charles Shaquille J.-C , Kumar Praveen , Reddy Rajiv P. , Cong Ting , Chen Stephen , Mittwede Peter , Moloney Gele , Siska Peter , Lin Albert 
Published: October 2023

Background:
Prior studies have highlighted lower rates of reoperation if fixation of a displaced midshaft clavicle fracture is performed with dual plating (DP) compared with single plating (SP). Despite higher initial costs associated with the DP construct, the observed reduction in secondary surgeries compared with the SP construct may make it a more cost-effective treatment option. The objective of this study was to assess the cost-effectiveness of DP compared with SP in patients with operatively indicated displaced midshaft clavicle fractures.

Methods:
We developed a decision tree to model the occurrence of postoperative complications (acute hardware complications, wound healing issues, deep infection, nonunion, and symptomatic hardware) associated with secondary surgeries. Complication-specific risk estimates were pooled for both plating techniques using the available literature. The time horizon was 2 years, and the analysis was conducted from the health-care payer’s perspective. The costs were estimated using direct medical costs, and the benefits were measured in quality-adjusted life-years (QALYs). We assumed that DP would be $300 more expensive than SP initially. We conducted probabilistic and 1-way sensitivity analyses.

Results:
The model predicted reoperation in 6% of patients in the DP arm compared with 14% of patients in the SP arm. In the base case analysis, DP increased QALYs by 0.005 and costs by $71 per patient, yielding an incremental cost-effectiveness ratio (ICER) of $13,242 per QALY gained. The sensitivity analysis demonstrated that the cost-effectiveness of DP was driven by the cost of the index surgery, risk of symptomatic hardware, and nonunion complications with SP and DP. At a willingness-to-pay threshold of $100,000 per QALY gained, 95% of simulations suggested that DP was cost-effective compared with SP.

Conclusions:
When indicated, operative management of displaced midshaft clavicle fractures using DP was found to be cost-effective compared with SP. Despite its higher initial hardware costs, DP fixation appears to offset its added costs with greater health utility via lower rates of reoperation and improved patient quality of life.

Level of Evidence:
Economic and Decision Analysis Level II. See Instructions for Authors for a complete description of levels of evidence.
Management of Scaphotrapeziotrapezoid Osteoarthritis
Authors: Alder Kareme D. , Feroe Aliya G. , Karim Kristin E. 
Published: October 2023

» The scaphotrapeziotrapezoid (STT) joint is a common location of degenerative osteoarthritis (OA) in the wrist.» STT OA may occur in isolation or with concomitant thumb carpometacarpal joint (CMCJ) OA or scapholunate advanced collapse (SLAC) and other wrist OA patterns.» Nonoperative management strategies include activity modification, bracing, anti-inflammatory medications, occupational therapy, and injections.» Surgical treatment may be determined by whether the STT OA occurs in isolation or with concomitant thumb CMCJ or SLAC OA and includes STT arthrodesis, distal scaphoid excision with or without interposition or implant arthroplasty, trapeziectomy with proximal trapezoid excision, four-corner fusion in combination with scaphoid/radial column excision, and proximal row carpectomy.
Shale Gas Production Forecasting with Well Interference Based on Spatial-Temporal Graph Convolutional Network
Authors: Xu Ziming , Leung Juliana Y. 
Published: October 2023

Abstract
One of the core assumptions of most deep learning-based data-driven models is that samples are independent. However, this assumption poses a key challenge in production forecasting - performance is influenced by well interference and reservoir connectivity. Most shale gas wells are hydraulically fractured and exist in complex fracture systems, and the neighbouring well characteristics should also be considered when constructing data-driven forecast models. Researchers have explored using the Graph Convolutional Network (GCN) to address this issue by incorporating neighbouring well characteristics into production forecasting models. However, applying GCN to field-scale studies is problematic, as it requires training on a full batch, leading to gigantic cache allocation. Additionally, the transductive nature of GCN poses challenges for direct generalization to unseen nodes. To overcome these limitations, we adopt the Graph Sampling and Aggregation (GraphSAGE) network architecture, which allows training large graphs with mini-batches and generalizing predictions for previously unseen nodes. By cooperating with the Gated Recurrent Unit (GRU) network, the proposed Spatial-Temporal (ST)- GraphSAGE model can capture cross-time relationships between the target and the neighbouring wells and generate promising prediction time series for the target wells, even if they are newly drilled wells.
The data set is based on field data corresponding to 2,240 Montney shale gas wells and consists of formation properties, fracture parameters, production history and operational data. The algorithm aggregates the first-hop information to the target node for each timestep. The Encoder-Decoder (ED) architecture is employed to generate forecasts for the subsequent three-year production rate by using the one-year production history of the wells. The trained model enables the evaluation of production predictions for newly developed wells at any location. We evaluate the model's performance using P10, P50, and P90 of the test dataset's Root Mean Square Error (RMSE). Our method preserves the topological characteristics of wells and generalizes the prediction to unseen nodes while significantly reducing training complexity, making it applicable to larger oil/gas fields. By incorporating information from adjacent wells and integrating spatial-temporal data, our ST-GraphSAGE model outperforms the traditional GRU-ED model and shows enhanced interpretability.
The Application of Artificial Intelligence Methods on the Optimizing Improvement Depth of Dynamic Compaction
Authors: Koohsari Hamid , Alielahi Hamid , Najafi Amir , Adampira Mohammad 
Published: October 2023

Abstract
Dynamic Compaction (DC) with tamping is one of the soil improvement methods and has been significantly accepted due to its advantages over other soil improvement methods. In this paper, an attempt has been made to use the fuzzy logic and Sugeno inference system to investigate the effect of the parameters involved in soil improvement operations using the DC method on the relative improvement depth. A correlation has been proposed to estimate the effective depth for the granular soils and compared to the fuzzy results. The Particle Swarm Optimization (PSO) algorithm has been used to achieve maximum improvement depth. The results indicate that the interaction between tamper weight and height of tamping plays the most important role in the design procedures. The results reveal that by using PSO, the maximum depth of improvement is increased by 33%. Studies show that the optimal tamper radius for most of the compaction patterns with medium to high applied energies is equal to 1.5 to 2 meters, the optimal numbers of drops are equal to 25, and the optimal grid spacing is equal to 6 to 7 meters. It should be noted that using PSO dynamic compaction pattern; the maximum improvement depth has been achieved.
Enhancing University Security: A Machine Learning and IoT Driven Face Recognition System for Surveillance and Attendance
Authors: GUDIKANDHULA NARASIMHA RAO , Kondapalli Beulah , Acharyulu M.L.N. , Sameeri Mamillapalli , Supradeep Danturti , Yaswanth Yalamarthy 
Published: October 2023

Abstract
Convolution Neural Networks (CNN) doesn't need any techniques to implement feature selection, extraction and learns the data based on the optimizer, layers, increasing or decreasing learning rate. For design of face recognition model we can directly use detection model Convolution Neural Networks (provided by GPU) pre-trained or HOG for faster results without any training. The images in the dataset are cropped based on the region of interest where the image gets saved only if it detects eye and the embeddings. The dataset is then encoded into NumPy arrays and stored in a pickle file for prediction. The encodings are used to detect faces over image, a live video and over a video file. To train a network from scratch we need to train a lot of images so using a pre-trained model with fine tuned weights reduces training time and images are convoluted and trained as per the architecture. To run this prototype accurately we can use CNN as a detection model to recognize images as it are accurate in prediction. Design of the Face recognition system can also be done by model training. This technique helps us to increase data if required depending on performance or hyper parameter tuning to increase the efficiency of model accuracy. We used Support Vector Machine (SVM) algorithm where we have sent cropped raw images long with wavelet transformation to train the classifier. So that the model will learn the global features in the image and can accurately predict the outcome with the accuracy of 99.63%.
Design and Analysis of 3d Printed Functionally Graded Lattice Structures
Authors: Medisetty Raghu Nandhan , Darvekar Sanjay K. 
Published: October 2023

Abstract
Additive Manufacturing (AM) is a layer-by-layer fabrication method using 3D CAD designs. It has enabled the production of Lattice structures (arrangements of unit cells representing crystal lattices). Functionally Graded Lattice Structures (FGLS) with varying relative density for targeted properties are gaining research interest. This study explored mechanical properties such as strength, stress-strain relations, deformation behaviour, and energy absorption in lattice structures. CAD software Creo Parametric 9.0 was utilized to model five distinct 3D lattice designs employing novel approaches like different unit cells and pattern arrangements. Fifteen Lattice Structure Samples made of Nylon PA 2200 were fabricated through Selective Laser Sintering (SLS), and compression tests were conducted for experimental analysis. Numerical analysis was performed using ANSYS-19 software and results were compared with the experimental results. Distinct deformation behaviour was observed for FGLS compared to Uniform lattice structures (UB). Among all lattice structures, uniform and bidirectional graded lattice structures with strong middle layer exhibited the highest yield strength, while Variable Pattern FGLS displayed the lowest. Similarly, bidirectional graded lattice structure with weak middle layer showcased the best plateau region performance. Hybrid FGLS demonstrated the largest energy absorption, three times that of the variable pattern lattice structure. The results tabulated could be useful to guide future research and applications based on specific property requirements. This study showcases the potential of AM to create lattice structures with tailored mechanical properties, advancing their utilization in various industries.
Association of appendectomy for acute appendicitis in pregnancy with adverse obstetrical outcomes
Authors: Gan Ye-na , Wang Nan , Wang Yan , Li Nan 
Published: October 2023

Abstract

Background
Acute appendicitis (AA) in pregnancy is associated with miscarriage and preterm birth. Even if undergoing appendectomy, pregnant women still have a risk of miscarriage or preterm birth. The aim of this study was to assess the risk factors associated with miscarriage and preterm birth, as well as the impact of these risk factors on gestational age at delivery among patients who had confirmed AA and received appendectomy.
Methods
A single-center retrospective case‒control study was performed. Clinical information was documented, and relationships between variables and outcomes were assessed by univariate and multivariate logistic or linear regression analyses reaching a significance of p value < 0.05.
Results
A total of 91 pregnant women were included and were divided into miscarriage or preterm birth (n = 31) and term birth (n = 60) groups. There were no significant differences in the demographic characteristics of the studied population. Anorexia was an independent risk factor that was associated with miscarriage or preterm birth (OR 9.80, 95% CI 1.70-56.34). The time from symptom onset to appendectomy among patients with miscarriage or preterm birth was significantly longer than that among patients with term birth (OR 1.03, 95% CI 1.00-1.06), and they had a significantly earlier gestational age at delivery, with a difference of 1.68 weeks.
Conclusions
Appendectomy should be performed as soon as possible for pregnant women with highly suspected or confirmed AA. Delayed appendectomy and prolonged time from symptom onset to appendectomy increase the risk of miscarriage or preterm birth. Anorexia was another independent risk factor for miscarriage or preterm birth, which should be given due attention.
Trial registration
Retrospectively registered.
Divergent Suicidal Symptomatic Activations Converge on Somato-cognitive Action Network in Depression
Authors: Li Jiao , Wang Dajing , Xia Jie , Zhang Chao , Meng Yao , Xu Shuo , Chen Huafu , Liao Wei 
Published: October 2023

Abstract
Individuals with depression have the highest lifetime prevalence of suicide attempt (SA) among mental illnesses. Numerous neuroimaging studies have developed biomarkers from task-related neural activation in depressive patients with SA, but the findings are inconsistent. Empowered by the contemporary interconnected view of depression as a neural system disorder, we sought to identify a specific brain circuit utilizing published heterogeneous neural activations. We systematically reviewed all published cognitive and emotional task-related functional MRI studies that investigated differences in the location of neural activations between depressive patients with and without SA. We subsequently mapped underlying brain circuits functionally connected to each experimental activation using a large normative connectome database (n = 1 000). The identified SA-related functional network was compared with the network derived from the disease control group. Finally, we decoded this convergent functional network using microscale transcriptomic and chemo-architectures and macroscale psychological processes. We selected 11 experimental tasks from eight studies including depressive patients with SA (n = 147) and without SA (n = 196). The heterogeneous SA-related neural activations localized to the somato-cognitive action network (SCAN), exhibiting robustness to little perturbations and specificity to depression. Furthermore, the SA-related functional network colocalized with spatial expression of genes that are involved in inflammatory and immunity-related biological processes and aligned with the distribution of the GABA and noradrenaline neurotransmitter systems. The findings demonstrate that the SA-related functional network in depression predominantly involves the SCAN, which is robust and disease-specific, and have important implications for understanding depressive patients with SA.