bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gebelikte nadir bir akut karın nedeni: Spontan renal kalisiyel divertikül rüptürü
Authors: HEKİMSOY İlhan , BOZKAYA Halil , ÇAKMAK Özgür , GÜNEYLİ Serkan 
Published: March 2023

Gebelikte üriner sistem komplikasyonları sık görülmekle birlikte renal toplayıcı sistem rüptürü oldukça
nadirdir. Bu çalışmada, ani başlangıçlı yan ağrısı nedeniyle tetkik edilen ve görüntüleme yöntemleri ile
spontan renal kalisiyel divertikül rüptürü tanısı alan gebe hasta sunulmaktadır. Kalisiyel divertiküller
genellikle insidental olarak saptanmakla birlikte nadiren gelişen rüptür sonucu akut karın etiyolojisinde
yer alırlar. Daha sık olarak izlenen akut karın nedenleri ile benzer klinik bulgular vererek tanısal
gecikmeye ve gebelikle ilişkili komplikasyonlara yol açabileceği için akut karın nedeniyle araştırılan
gebe olgularda nadir de olsa spontan renal kalisiyel divertikül rüptürü de akılda bulundurulmalıdır.
Deformed bladder activity mimicking pelvic crossed ectopic kidney on Technetium-99m labelled dimercaptosuccinic acid renal cortical scintigraphy
Authors: TAMER Fatih , YAZİCİ Bulent , ORAL Aylin , AKGÜN Aysegül 
Published: March 2023

Technetium-99m dimercaptosuccinic acid (DMSA) scan was performed on a 32-year-old woman with
abdominal pain. A normal functioning slightly ptotic right kidney was seen on planar images. There
was no activity in the left renal region and a small fusiform activity was seen in the right pelvic area.
Pelvic computed tomography (CT) axial images revealed pre-vesical pelvic abscess pushing the
bladder posteriorly to the right side. On computed tomography images obtained after percutaneous
drainage it was concluded that the activity in the right pelvic area on Technetium-99m DMSA scan was
compatible with physiological activity in the bladder.
Concomitant Ipsilateral Intracapsular and Extracapsular Femoral Neck Fractures in Young Individuals
Authors: Arora Sumit , Kataria Ankit , Kashyap Abhishek , Khan Yasim , Sharma Mudit , Gupta Swati 
Published: March 2023

Cases:
Concomitant ipsilateral intracapsular and extracapsular fractures of the femoral neck, also termed “segmental fracture neck femur,” are rare injuries, especially in physiologically young patients. We present 3 such cases that successfully underwent operative fixation with an extramedullary implant.

Conclusion:
Good clinical outcomes may be obtained after osteosynthesis with extramedullary fixation devices in concomitant ipsilateral intracapsular and extracapsular fractures of the femoral neck in young patients (<60 years). They should be followed for a long duration to look for avascular necrosis.
Targeted Muscle Reinnervation in the Setting of Traumatic Bilateral Above-Knee Amputations
Authors: Herzog Isabel , Weisberger Joseph , Ignatiuk Ashley 
Published: March 2023

Case:
We present the case of a 20-year-old man who was pedestrian struck and sustained bilateral traumatic above-knee amputations. Targeted muscle reinnervation (TMR) was performed with nerve transfers, including tibial nerve to semitendinosus (bilateral), superficial peroneal nerve to biceps femoris (left), deep peroneal nerve to biceps femoris (left), and common peroneal nerve to biceps femoris (right).

Conclusions:
Less than 1 year postoperatively, the patient was ambulating on his myoelectric prosthesis and experienced no Tinel or neuroma-type pain. This case is a testament to the impact TMR, an innovative surgical technique, can have on the quality of life of patients sustaining devastating limb injuries.
Vascularized Composite Iliac Flap Grafting for Trapezial Metastasectomy in Clear Cell Renal Carcinoma
Authors: Pan ZhaoHui , Zhao YuXiang , Jiang PingPing 
Published: March 2023

Case:
Renal cell carcinoma (RCC) metastases rarely occur in the trapezium. We present the case of a 69-year-old man with clear cell RCC metastasis to the trapezium. After tumor resection, bone and soft-tissue defects were reconstructed with a vascularized osseo-fascio-fat composite iliac flap. Four years later, sorafenib was administered to treat subsequent pulmonary and femoral metastases.

Conclusion:
At the 7-year follow-up, neither local recurrence nor additional metastatic sites were observed. The affected wrist could perform 50° of extension and 40° of flexion. The patient could use his right thumb in daily activities without pain.
Severe Hypersensitivity Reaction to Dermabond Prineo After Anterior Cervical Discectomy and Fusion
Authors: Zhang Andrew S , Saxena Tara A. , Abubakar Tunde , Fincher Phillip Garrett , Massey Patrick Allan 
Published: March 2023

Case:
A 68-year-old woman underwent an anterior cervical discectomy and fusion for cervical radiculopathy and subsequently developed a severe contact hypersensitivity reaction in response to Dermabond Prineo, beginning 10 days postoperatively. The Dermabond Prineo mesh was removed, and the patient was treated symptomatically with diphenhydramine, systemic steroids, and oral antibiotics, with complete resolution of her symptoms.

Conclusion:
This is the first reported contact hypersensitivity reaction to Dermabond Prineo in the context of spine surgery. Surgeons should be able to recognize this presentation and treat this appropriately.
Enabling High Performance Multi-Lateral Wells: Current Technologies and Gaps
Authors: Shor Roman J. , Mai An , Manolakos Athena E. , Sambrook James , Trivedi Ajesh , Hess Scott , Arseniuk Stephen 
Published: March 2023

AbstractThis paper presents the current state of the industry in multilateral wells (ML) and presents the key findings from a broad literature review and two knowledge sharing workshops hosted by the University of Calgary and the Clean Resource Innovation Network (CRIN) in late 2021 and early 2022. The technology to deliver ML wells is mature and has been demonstrated across thousands of wellbores around the world. Evaluation, characterization, and control of flows in ML wells is also possible using available technology, however, it is expensive and may be cost prohibitive. Modelling and optimization of flows from lateral legs may be done using existing reservoir simulators. However, some regulatory hurdles may remain, including accounting for production from different zones and licensing of legs. What generally limits the more widespread adoption of ML wells is the perception of elevated risk from decision makers, lack of familiarity with ML technologies, and the perceived costs of ML junctions and associated equipment and operations. By highlighting the technologies and successes, this paper aims to heighten awareness of ML technologies and further widen the adoption and implementation of ML wells.
Deep Learning Based Production Prediction for an Enhanced Geothermal System (EGS)
Authors: Xue Zhenqian , Chen Zhangxin 
Published: March 2023

AbstractHot dry rock (HDR) is a low-carbon geothermal resource and can be an alternative to fossil fuels. The prediction of sequential production is essential for operating a sustainable geothermal system, but its prediction using the numerical simulation method is time-consuming. Deep learning provides an alternative way for this task. However, previous studies mainly took the original production data as learning data, or more complexity, some constraint conditions were utilized in previous deep learning models to improve the prediction accuracy but enhance the process time. Besides, the research about comparisons of different deep learning algorithms lacks. In this work, three different deep learning algorithms, including the Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Transformer, are applied to forecast the productivities of a three-horizontal-well EGS. A difference value operation is worked on the data samples at adjacent time steps, followed by comparisons of model performance. The results show that a difference value operation on data samples promotes the predictive ability of a deep learning model compared to a model with the original data. According to the root mean squared errors (RMSE), mean absolute errors (MAE), and mean absolute percentage errors (MAPE), Transformer demonstrates the highest prediction accuracy with a 0.00005 MAPE value. Importantly, deep learning significantly save prediction time by 14 times compared to numerical simulation. This work proves that a deep learning model under a difference value operation can be an encouraging alternative to numerical simulation in predicting time series geothermal production. The proposed data operation method can provide a promising performance so that complex operations to improve the model performance like complex field constraints can be efficiently avoided. Furthermore, the proposed method can also be applied to predictions in other industries.
Closing the Health Gap in Central Australia: Reduction in Indigenous Australian Inpatient Self-Discharge Rates Following Routine Collaboration with Aboriginal Health Workers
Authors: Cheok Tim , Berman Morgan , Delaney-Bindahneem Richard , Jennings Matthew Phillip , Bray Linda , Jaarsma Ruurd , Poonnoose Pradeep Mathew , Williams Kanishka , Jayasekera Narlaka 
Published: March 2023

Abstract

Background Indigenous Australians experience significant socioeconomic disadvantage and healthcare disparity compared to non-Indigenous Australians. A retrospective cohort study to describe the association between rates of self-discharge in Indigenous orthopaedic patients and the introduction of routine Aboriginal Liaison Officers (ALO) within the orthopaedic multi-disciplinary team (MDT) was performed. Methods ALO were introduced within our routine Orthopaedic MDT on the 22nd of February 2021. Two patient cohorts were analysed, Group 1; patients admitted in the 9-months prior to inclusion of ALO, and Group 2; patients admitted within 9-months thereafter. The primary outcome of interest was the rate of self-discharge among Indigenous patients. Secondary outcomes of interest were the stage of treatment when patients self-discharged, recurrent self-discharge and risk factors for self-discharge. Results Introduction of ALO within routine Orthopaedic MDT was associated with a significant 37% reduced risk of self-discharge among Indigenous patients (p = 0·009), and significantly fewer self-discharges before their definitive surgical and medical treatment (p = 0.0024), or before completion of postoperative intravenous antibiotic treatment (p = 0·030). There was no increased risk of recurrent self-discharge (p = 0·557). Risk factors for self-discharge were younger age; pensioners or unemployed; residents of Alice Springs Town-Camps or of communities within 51 to 100 km distance of Alice Springs; and those diagnosed with lacerations of the upper limb, but without tendon injury, wound and soft tissue infections and osteomyelitis. Conclusions Routine inclusion of ALO within the Orthopaedic MDT reduced the risk of self-discharge in Indigenous patients. The minority who do persist, tend to delay their self-discharge until critical aspects of their care is met.
Thianthrene Radical Cation as a Transient SET Mediator: Photoinduced Thiocyanation and Selenocyanation of Arylthianthrenium Salts
Authors: Chen Xiao-Yue , Kuang Xin , Wu Yichen , Zhou Jian , Wang Peng 
Published: March 2023

Abstract
A novel transient SET mediator approach has been developed for the photoinduced radical-radical cross coupling reaction. Using the in-situ generated thianthrene radical cation as the transient SET mediator, the thiocyanation and selenocyanation of aryl thianthrenium salts have been realized under the mild conditions in the absence of the photocatalyst or single electron donor. In comparison with the photocatalyst enabled process, the protocol features mild conditions, simple manipulation, a broad substrate scope, excellent functional group and heterocycle tolerance. Due to the feasible accessibility of aryl thianthrenium salts, this method has also been applied in the efficient synthesis of a bioactive molecule, and the late-stage functionalization of complex arenes.
Amazonian vegetated estuarine ecosystem as a global hotspot in carbon sequestration
Authors: Ward Raymond , Lacerda Luiz , Cerqueira Aline da Silva , Giarrizzo Tommaso 
Published: March 2023

Abstract
Mangroves provide a vital role in mitigating climate change through sequestering large amounts of carbon. Brazil contains the second largest extent of mangroves in the world, with 77% of this adjacent to the Amazon estuary, a largely understudied region, due to its extent and inaccessibility.
To address this, this study analysed rates of carbon sequestration in the mangroves and várzea of the Amazon estuary. Observed rates of carbon sequestration varied between 111-3,487 gC m2 year-1, with a regional average of 1,718 gC m2 year-1. This compares very favourably with previously reported global averages of 134-226 gC m2 year-1, suggesting that these sites sequester an order of magnitude more carbon than global averages.
This is likely due to the large volume of organic material provided by the Amazon and Tocantins Rivers, as well as from inputs along the coast from the Bragança Mangrove, the second largest continuous mangrove in the world.
General spectral characteristics of human activity and its inherent scale-free fluctuations
Authors: Maczák Bálint , Gingl Zoltán , Vadai Gergely 
Published: March 2023

Abstract
Although actigraphy is commonly used in many research areas, the activity calculation methods are not standardized, therefore activity signals can be very different. The scale-free nature of daily human activity has been observed in different aspects; however, the description of its spectral characteristics is incomplete. The presence of 1/f noise in activity or acceleration signals was mostly analysed for short time windows, the complete spectral characteristic has only been examined in the case of certain types of activity signals. To explore the general spectral nature of human activity in greater detail, we have performed Power Spectral Density (PSD) based examination and Detrended Fluctuation Analysis (DFA) on multi-day-long, triaxial actigraphic acceleration signals of 42 healthy, free-living individuals. We generated different types of activity signals from these, using different acceleration preprocessing techniques and activity metrics. We revealed that different types of activity signals’ spectra generally follow a universal characteristic including 1/f noise over frequencies above the circadian rhythmicity. Moreover, we discovered that the PSD of the raw acceleration signal has this same characteristic. Our findings prove that the spectral scale-free nature is generally inherent to the motor activity of healthy, free-living humans, and is not limited to any particular activity calculation method.
Prediction of the Undrained Shear Strength of the Remolded Soil with Non-Linear Regression, Fuzzy Logic and Artificial Neural Network
Authors: Yünkül Kaan , Karaçor Fatih , Gurbuz Ayhan , Budak Tahsin Ömür 
Published: March 2023

Abstract
The aim of this study is to predict the undrained shear strength (Cu) of the remolded soil samples and for this purpose, non-linear regression (NLR) analyses, fuzzy logic (FL) and artificial neural network (ANN) modelling were used to assess. Total 1306 undrained shear strength results of soil types of CH, CL, MH and ML from 230 different remolded soil test settings on 21 publications were collected while six different measurement devices were used by researchers. Although water content, plastic limit and liquid limit were used as input parameters for FL and ANN modelling, liquidity index or water content ratio were considered as input parameter for NLR analyses. In NLR analyses, 12 different regression equations were derived for prediction of Cu. Feed-Forward backpropagation and TANSIG transfer function were used for ANN modelling while Mamdani inference system was preferred with trapezoidal and triangular membership function for FL modelling. The experimental results of 914 tests for training of the ANN models, 196 for validation and 196 for testing were used. It was observed that the accuracy of the ANN and FL modellings were higher than NRL analyses. Furthermore, the simple and reliable regression equation was proposed for assessments of Cu values having higher coefficient of determination values (R2).
Assessment of earthquake localization uncertainties for the design of local seismic networks
Authors: Fuggi Antonio , Re Simone , Tango Giorgio , Gaudio Sergio Del , Brovelli Alessandro , Cassiani Giorgio 
Published: March 2023

Abstract
The capability of estimating earthquake source locations, together with the appraisal of the relevant uncertainties, plays a crucial role in monitoring and managing both underground anthropogenic activities as well as the natural (micro)seismicity. This is especially true in the close proximity of hydrocarbon production or storage sites, geothermal fields and in general all activities that involve injection/production of fluid or gases in the subsurface. To this end, a monitoring network must be carefully designed to minimize the location errors introduced by geometrically unbalanced networks. In this study, we first review the different sources of errors that are relevant to the localization of seismic events, how they propagate through the localization algorithms, and their impact on the outcome. We then propose a quantitative methodology, based on a Monte-Carlo approach, to estimate the accuracy of earthquake localization, and particularly suited to the design, optimization, and assessment of the performances of a local seismic monitoring network. This work is an effort to propose a more realistic and reliable way to evaluate the location uncertainty of seismic events, going beyond simplified approaches that tend to under- and over-estimate this metric. To illustrate the performance of the proposed approach, we have analyzed the distribution of the localization errors and their related dispersion on a very dense grid of theoretical hypocenters, in both horizontal and vertical directions, by using a real monitoring network layout. The results expand in a quantitative fashion the qualitative indications drawn from purely geometrical parameters (the azimuthal gap), and from classical detectability maps.
Effectiveness of prime vendor system on availability of medicines and medical supplies in selected public health facilities in Arusha district council
Authors: Elias Liberatus , Mushi Lawrencia 
Published: March 2023

Abstract
Background
The shortage of medicines and medical supplies seems to be a major issue that is facing public health facilities in Tanzania. Formerly, the Government initiatives such as engagement with the Prime Vendor System (PVS) demonstrated great assistance in getting rid of this challenge. Despite the operation of PVS, a recent shortage of medicines and medical supplies has been noticed.
Objectives
This study aim to assess the effectiveness of PVS on the availability of medicine and medical supplies in selected public health facilities in Arusha District Council.
Methods
The study used a case study design with mixed research approach. We involved 77 respondents which included 25 health-facility-in charges, 50 patients, 1 District Pharmacist Officer and 1 Prime Vendor. Questionnaires, interviews, and observation methods were used to collect data. Data collected covered a period of 2021–2022. Thematic analysis was used to analyze qualitative data whereas descriptive analysis was used to analyze quantitative data with the help of Excel and the Statistical Package for Social Sciences (SPSS) version 28.0.
Results
The analysis indicates that PVS is not completely effective in supplying medicine and medical supplies due to its low capacity to conform to the orders placed by the public health facilities, a lack of supply competition, and a failure to adhere to contractual terms. Furthermore, at the time of data collection, the average availability of medicines and medical supplies at the selected public health facilities was 74.8%, whereby 80% of the selected public health facilities reported having a scarcity of medicines and medical supplies, and 92% of the interviewed patients reported having no full access to medicines.
Conclusion
Despite the shortcomings associated with the operation of the PVS, the system still seems to be very important for enhancing the availability of medicines and medical supplies once its effectiveness is strengthened. This study recommends a routine monitoring of PVS operations and timely interventions in order to reinforce adherence to the contracted terms and improve PVS effectiveness.
Clinical features and treatment of intracranial aneurysms in pediatric patients (with 9 case reports)
Authors: Wu Xuchao , Gheyret Dilmurat , Geng Dangmurenjiafu , Sheng Chengjun , Aisha Maimaitiaili 
Published: March 2023

Abstract
Objective To analyze the clinical characteristics, treatment, and prognosis of intracranial aneurysms in pediatrics
Methods9 pediatric patients (aged less than 18 years) with a diagnosis of intracranial aneurysm in the neurosurgical vascular group at our center from January 2015 to January 2022 are collected and their clinical data are analyzed retrospectively. We report the results of this study.
Results In this group, there are 6 pediatric male patients and 3 pediatric female patients with intracranial aneurysms, of which 6 are anterior circulation aneurysms, 2 are posterior circulation aneurysms, and 1 is multiple aneurysms. There are 4 cases of the small aneurysm (diameter less than 1 cm), 4 cases of the large aneurysm (diameter 1.0-2.5 cm), and 1 case of a giant aneurysm (diameter more than 2.5 cm). 6 pediatric patients underwent craniotomy, and 3 pediatric patients underwent vascular intervention, there is no death in this group, 6 pediatric patients have a good prognosis (modified Rankin Scale (mRS) score 0-1), 3 pediatric patients have a mild disability The prognosis of 6 patients is good (modified Rankin Scale (mRS) score 0-1), and 3 patients have a mild impairment and other sequelae (modified Rankin Scale (mRS) score 2).
Conclusion: The clinical features of intracranial aneurysms in pediatric patients are somewhat distinct from those seen in adults, and there is a need to develop individualized treatment plans regarding aneurysm site, size, character, and other global factors.
Prevalence and Predictors of Anxiety and Depression in Chinese Women with Polycystic Ovary Syndrome undergoing Infertility Treatment
Authors: He Hui , Zhang Shike , Wang Yu , Wu Xiaoke 
Published: March 2023

Abstract
Aim: To investigate the prevalence and predictors for anxiety and depression in Chinese women with polycystic ovary syndrome (PCOS) undergoing infertility treatment.
Materials and Methods: This study was a secondary analysis of a randomized controlled clinical trial in which a total of 1,000 women with PCOS undergoing infertility treatment recruited from 27 hospitals across mainland China were enrolled. Anthropometric, endocrine, and metabolic parameters were measured at the baseline visit. Anxiety and depression state were evaluated according to the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS). Mann–Whitney test and logistic regression were used to identify predictors for anxiety and depression.
Results: A total of 19.86% of the women had anxiety, and the prevalence of mild, moderate, and severe anxiety were 16.45%, 2.91% and 0.50%, respectively. A total of 24.58% of the women had depression, and the prevalence of mild, moderate, and severe depression were 18.96%, 5.52% and 0.10%, respectively. The multivariate logistic regression results showed that age, acne score, and number of induced abortions were independent predictors for anxiety. In terms of depression, its related factors included age, hypertension, and duration of infertility.
Conclusions: It seems that anxiety and depression among women with PCOS in our country were not as high as in Western countries. The dominating predictors for anxiety in PCOS were age, acne score, and number of induced abortions, and the major predictors for depression were age, hypertension, and duration of infertility. These predictors explored in this study may promote the development of individualized interventions for psychological disorders in such patients.