bluuebunny/crossref_metadata_2025_split huggingface dataset:
KERNAS SEBAGAI KULINER KHAS LOKAL DAERAH MASYARAKAT KABUPATEN NATUNA
Authors: Harwindito Baskoro , Abi Saptadinata  
Published: December 2022

Warisan budaya dapat dilakukan dalam berbagai bentuk. Keragaman Indonesia dalam hal budaya tercermin dari makanannya, hal ini berkaitan erat dengan perkembangan industri pariwisata yang memberikan peluang bagi produk pariwisata, termasuk kuliner local khususnya Kabupaten Natuna. Tingginya perkembangan pariwisata di Kabupaten Natuna memberikan kesempatan bagi produk kuliner seperti Kernas untuk turut serta meningkatkan pengembangan pariwisata di Kabupaten Natuna, khususnya untuk menjadi bagian dari wisata kuliner. Penelitian ini dilakukan dengan metode kualitatif dengan bantuan pengumpulan data melalui observasi, wawancara dan juga dokumentasi dengan hasil bahwa Kernas sebagai kuliner lokal dapat dijadikan objek wisata kuliner di Kabupaten Natuna. Kernas memiliki nilai daya tarik, dengan memiliki keunikan, produk asli dari natuna serta keberadaan Kernas yang tetap terjaga di dalam negeri yang mampu bersaing dengan produk impor. Pantai Tanjung merupakan salah satu destinasi wisata yang mengembangkan budaya Kabupaten Natuna, salah satunya mengembangkan daya tarik kuliner dan budaya aslinya, dimana Kernas merupakan salah satu makanan yang disajikan untuk wisata kuliner. Kernas yang disajikan memiliki keunikan dan rasa tersendiri dimana pengawet tidak digunakan dan dipercaya memiliki manfaat kesehatan bagi konsumen. Kuliner yang disajikan bertujuan untuk memperkenalkan wisatawan yang datang ke Kabupaten Natuna. Dalam lingkungan ini, masyarakat modern masih mengenal Kernas sebagai kuliner lokal Kabupaten Natuna. Dinas Pariwisata dan Kebudayaan Kabupaten Natuna diharapkan mampu meningkatkan minat masyarakat umum dan generasi muda terhadap kuliner lokal sekaligus mampu bersaing dengan masakan modern untuk membuat apa yang sudah ada menjadi lebih baik dari segi kualitas dan lebih maju
Enhancing Well Performance and Economic Value via Better Well Completion Design—A Delaware Basin Case Study
Authors: Pei Yanli , Xiong Hongjie 
Published: December 2022

Summary
Operator H’s wells on University Lands acreage in the Delaware Basin were completed with a perforation cluster spacing of around 45 ft and a fracturing fluid volume of about 25 bbl/ft. However, other operators in this area used half or even smaller perforation cluster spacing and a few times more fluid. As a result, the estimated ultimate recovery (EUR) of non-Operator H wells is about 18% higher than that of Operator H’s wells in the Wolfcamp Formation, indicating that Operator H’s completion design can be greatly improved. Therefore, our objective in this work is to locate a better completion design for Operator H’s wells and increase the economic value of the operator and the landowner.
An integrated fracturing→well performance→economics workflow is implemented to optimize the completion design for Operator H’s wells. First, a 3D geological and geomechanical model is built and calibrated with historic multiwell multistage completion and production data. A decline curve analysis (DCA) is also performed to double-check our history-matching (HM) model. Then, we use an unconventional fracturing model to simulate fracture propagation and proppant transport for multiple wells on the same pad under various completion designs. The resultant complex fracture network is converted into unstructured gridblocks for reservoir-performance simulation. Finally, economic analysis is incorporated to evaluate the net present value (NPV)and internal rate of return (IRR) to identify the optimal completion design.
Numerical results show that with the same amount of fluid and proppant, halving perforation cluster spacing gives shorter and more nonuniform fractures. Doubling the fluid volume creates 40% more fracture area in our target area and activates more microfractures along the wellbore. Also, a smaller stage spacing significantly improves cluster efficiency and well production. For the Wolfcamp Formation in the Delaware Basin, tighter cluster spacing (10–20 ft) with higher fluid volume (75–90 bbl/ft) plus a smaller stage spacing (~120 ft) greatly improves fracturing efficiency and well performance. Our recommended optimal completion design would increase Operator H’s NPV10 by USD 226 million on its undeveloped Wolfcamp A Formation (WCA).
With the latest modeling technologies, we model the complex fracture propagation and associated well performance and efficiently identify a better completion design with economic analysis. Compared to multiple field pilot tests needed, the integrated workflow in this work helps operators significantly reduce the time and financial cost to optimize completion design and can be easily adapted to other unconventional wells given their unique data set.
A Generalized Hydraulic Model for Propulsion Force Calculations in Radial Jet Drilling
Authors: Wiechman Andrew , Ahmed Ramadan 
Published: December 2022

Summary
Radial jet drilling (RJD) involves drilling several small-diameter lateral holes from a single vertical wellbore to increase reservoir contact and production. RJD system components (diverter, flexible hose, and jetting bit) are conveyed to the target depth using coiled tubing. A high-pressure flexible hose is used in conjunction with a jetting bit to drill holes laterally. Without a rigid drillstring, no axial force can be transferred to the bit as it penetrates the rock. As a result, the bit is propelled by hydraulic means. Thus, in addition to front-jetting nozzles, RJD bits use back-jetting nozzles. Therefore, the rate of penetration (ROP) and maximum hole length (MHL) must be maximized through proper hydraulic optimization. Existing hydraulic models rely on field-measured parameters (discharge coefficient and flow rate ratio) that vary by the bit design to predict the propulsion force, bit hydraulic power, and the maximum lateral hole length. Hence, this study aims to develop a generalized and accurate hydraulic model that does not require field-measured parameters to make predictions. As a result, the new model can be used for optimizing RJD operations by selecting suitable bit designs and lateral hole geometries.
This article presents a new RJD hydraulic model that uses a discharge coefficient that varies with the nozzle aspect ratio. The model predicts the propulsion force, differential pressure across the bit, and MHL based on the design of the bit, nozzle, and lateral hole geometries, and flow rate. To verify the model, extensive experiments were conducted with single-nozzle and multi-nozzle jetting bits. The pump pressure was varied while flow rate and propulsion force were recorded during the tests. Model predictions are compared and validated with experimental data. Measured and model-predicted propulsion forces demonstrate a reasonable agreement with a maximum discrepancy of 25%. Once the model has been validated, it is used to perform a parametric study to investigate the influence of various factors on bit performance. According to the parametric study, nozzle and hole diameters, friction factor, and hose density strongly influence bit performance. Furthermore, the diameter of the nozzle has been found to have a significant effect on bit performance parameters (propulsion force, bit hydraulic power, and MHL).
Mesenchymal Stem/Stromal Cells-derived extracellular vesicles as a safer therapeutic strategy in a mild metabolic osteoarthritis model
Authors: Warmink Kelly , Rios Jaqueline ,   Suzy Varderidou-Minasian1, Torres-Torrillas Marta , Valkengoed Devin van , Versteeg Sabine , Eijkelkamp Niels , Weinans Harrie , Korthagen Nicoline , Lorenowicz Magdalena 
Published: December 2022

Abstract

Background: Mesenchymal stromal/stem cells (MSCs) and MSC-derived extracellular vesicles (MSC-EVs) hold promise as a disease modifying treatment in Osteoarthritis (OA). Obesity, and its associated inflammation, contribute to OA development and metabolic OA represents a specific and significant group of the OA patient population. Given their immunomodulatory properties, MSC and MSC-EVs are especially interesting for this group of patients as a therapeutic option. Here, we were the first to compare the therapeutic efficacy of MSCs and MSC-EVs in a mild OA model taking these metabolic aspects into consideration.
Methods: Male Wistar-Han rats (Crl:WI(Han) (n=36) were fed a high fat diet for 24 weeks, with unilateral induction of OA by groove surgery after 12 weeks. Eight days after surgery rats were randomized in three treatment groups receiving MSCs, MSC-EVs or vehicle injection. Pain-associated behavior, joint degeneration, and local and systemic inflammation were measured.
Results: We demonstrated that despite not having a significant therapeutic effect, MSC-EV treatment results in lower cartilage degeneration, less pain behaviour, osteophytosis and joint inflammation, than MSC treatment. Suggesting that MSC-EVs could be a safer therapeutic strategy than MSCs in this mild metabolic OA model.
Conclusions: In summary, we find that MSC treatment has negative effects on the joint in metabolic mild OA. This is an essential finding for the significant group of patients with metabolic OA phenotype, and might help to understand why clinical translation of MSC treatment shows varying therapeutic efficacy thus far. Our results also suggest that MSC-EV-based treatment might be a safer option for these patients, however MSC-EV therapeutic efficacy will need improvement.
Broad-spectrum Antibiotic Prophylaxis in Tumor and Infected Orthopedic Surgery - the prospective-randomized, microbiologist-blinded, stratified, superiority Trials - BAPTIST trials
Authors: Uçkay Ilker , Bomberg Hagen , Risch Martin , Betz Michael , Müller Daniel , Farshad Mazda 
Published: December 2022

Abstract
Background: The perioperative antibiotic prophylaxis with 1st or 2nd-generation cephalosporins is evidence-based in orthopedic surgery. There are, however, situations with a high risk of prophylaxis-resistant surgical site infections (SSI).
Methods: We perform a superiority randomized-controlled trial with a 10% margin and a power of 90% in favor of the broad-spectrum prophylaxis. We will randomize orthopedic interventions with a high risk for SSI (open fractures, surgery under therapeutic antibiotics, tumor surgery, spine surgery with ASA-Score ≥ 3 points) in a prospective-alternating scheme (1:1, standard prophylaxis with mostly cefuroxime versus a broad-spectrum prophylaxis of a combined single-shot of vancomycin 1 g & gentamicin 5 mg/kg parenterally). The primary outcomes are "remission" at 6 weeks; or at 1 year for surgeries with implant. Secondary outcomes are the risk for prophylaxis-resistant SSI pathogens, revision surgery for any reason, change of antibiotic therapy, adverse events and the incidence of non-SSI infections within 6 weeks (e.g. urine infections). With event-free surgeries to 95% in the broad-spectrum versus 85% in the standard arm, we need 2 x 207 orthopedic surgeries among all groups.
Discussion: In selected patients with a high risk for prophylaxis-resistant SSI, a broad-spectrum combination might prevent SSIs better than the standard prophylaxis.
Trial registration: ClinicalTrial.gov NCT05502380. Registered on 12 August 2022.
Protocol version: 2 (3 June 2022)
Proximal ROw carpectOmy versus four-corner Fusion (PROOF-trial) for osteoarthritis of the wrist: Study protocol for multi-institutional double-blinded randomized controlled trial
Authors: Alanen Mikko , Stjernberg-Salmela Susanna , Waris Eero , Karjalainen Teemu , Miettunen Jouko , Ryhänen Jorma , Aspinen Samuli 
Published: December 2022

Abstract

Background
Scapholunate advanced collapse (SLAC) and scaphoid non-union advanced collapse (SNAC) are common types of wrist osteoarthritis (OA). Non-operative treatment consists of pain medication, splinting, and avoiding activities that induce pain. However, in case a course of conservative treatment is unsuccessful, operative treatment is needed. The two most conventional operative approaches for SLAC/SNAC OA are four-corner arthrodesis (FCA) and proximal row carpectomy (PRC). Although FCA is the gold-standard operative technique and may lead to superior grip strength, the evident benefit of PRC is that it obviates any need for hardware removal and controlling for bony union. To date, no high-quality randomized controlled trial comparing FCA and PRC exists. As clinical outcomes seem comparable, a trial that assesses patient-reported outcomes, adverse events, and secondary operations may guide clinical decision making between these two procedures. Thus, the aim of this multi-institutional double-blind randomized controlled trial is to study whether PRC is non-inferior to FCA in treating SLAC/SNAC OA.
Methods
The trial is designed as a randomized, controlled, patient- and outcome-assessor blinded multicenter, two-armed 1:1 non-inferiority trial. Patients with SLAC/SNAC-induced wrist pain meeting trial inclusion criteria will undergo wrist arthroscopy to further assess eligibility. Each patient eligible for the trial will be randomly assigned to undergo either FCA or PRC. The primary endpoint of this study is the Patient Rated Wrist Evaluation (PRWE) at 1-year after FCA versus PRC. Secondary outcomes include Quick-Disabilities of the Arm, Shoulder and Hand, EQ-5D-5L, pain, grip strength, wrist active range of motion, radiographic evaluation, and adverse events. Trial design, methods, and statistical analysis plan will be presented here.
Discussion
We present an RCT design comparing FCA vs PRC for SLAC/SNAC-induced OA. The results of this trial will assist in decision making when planning surgery for SLAC/SNAC.
Trial registration: ClinicalTrials.gov NCT04260165. Registered February 7, 2020.
The influence of recent bushfires on water quality and the operation of water purification systems in regional NSW
Authors: Jackson Reed , Krishna Bal , KrishnaPillai Karthika , Li Miao , Senevirathna Lalantha 
Published: December 2022

Abstract

The occurrence of extreme weather events aggravated by global warming has increased exponentially in the past decade. In recent years, New South Wales (NSW) has experienced catastrophic, unprecedented drought followed by extreme fire conditions and widespread, record-breaking floods. However, the impact of the drought and bushfires on regional water quality is poorly investigated. This study investigates immediate changes in regional environmental water quality and specific issues reported from water purification unit operations after the 2019 bushfires in NSW. Water samples were collected from the waterways in bushfire affected catchments, water intakes, unit operations of water purification systems, and treated water reservoirs. The performance of water purification processes and operational issues of regional water purification plants were extracted from daily maintenance records. Elevated levels of suspended sediment and algae blooms were of most concern in terms of aesthetic and recreation aspects of environmental water use after the drought and bushfires. Compared to the control samples, extremely high turbidity and low dissolved oxygen concentrations were reported in bushfire affected water samples. Shock loads of sediment and ash detected in waterways posed the greatest threat to aquatic ecosystems following fires. Elevated turbidity levels, suspended sediments, pH, and alkalinity were the parameters of most concern for water purification. The maximum turbidity level in raw water was reported as more than 195 NTU. Flocculation and sedimentation were the most affected unit operations in the water purification process. Immediate measures to handle shock loads due to bushfires included sediment traps, aeration on the intake lines, pre-chlorination, and inline monitoring for pH and turbidity. These results can be used to develop management strategies to minimise the impacts of bushfires on water quality and modify and operate water purification plants within bushfire prone catchments.
NPAS2 promotes aerobic glycolysis and tumor growth in prostate cancer through HIF-1A signaling
Authors: Ma Shuaijun , Chen Yafan , Quan Penghe , Zhang Jingliang , Han Shichao , Wang Guohui , Qi Ruochen , Zhang Xiaoyan , Wang Fuli , Yuan Jianlin , Yang Xiaojian , Jia Weijing , Qin Weijun 
Published: December 2022

Abstract
Background: Prostate cancer (PCa), one of the common malignant tumors, is the second leading cause of cancer-related deaths in men. The circadian rhythm plays a critical role in disease. Circadian disturbances are often found in patients with tumors and enables to promotes tumor development and accelerate its progression. Accumulating evidence suggests that the core clock gene NPAS2 (neuronal PAS domain-containing protein 2) has been implicated in tumors initiation and progression. However, there are few studies on the association between NPAS2 and prostate cancer. The purpose of this paper is to investigate the impact of NPAS2 on cell growth and glucose metabolism in prostate cancer.
Methods: Quantitative real-time PCR (qRT-PCR), immunohistochemical (IHC) staining, western blot, and CCLE (Cancer Cell Line Encyclopediadatabase) were used to analyze the expression of NPAS2 in human PCa tissues and various PCa cell lines. Cell proliferation was assessed using MTS, clonogenic assays, apoptotic analyses, and subcutaneous tumor formation experiments in nude mice. Glucose uptake, lactate production, cellular oxygen consumption rate and medium pH were measured to examine the effect of NPAS2 on glucose metabolism. The relation of NPAS2 and glycolytic genes was analyzed based on TCGA (The Cancer Genome Atlas) database.
Results: Our data showed that NPAS2 expression in prostate cancer patient tissue is elevated compared with that in normal prostate tissue. NPAS2 knockdown inhibited cell proliferation and promoted cell apoptosis in vitro and suppressed tumor growth in a nude mouse model in vivo. NPAS2 knockdown led to glucose uptake and lactate production diminished, oxygen consumption rate and pH elevated. NPAS2 increased HIF-1A (hypoxia-inducible factor-1A) expression, leading to enhanced glycolytic metabolism. There was a positive correlation with the expression of NPAS2 and glycolytic genes, these genes were upregulated with overexpression of NPAS2 while knockdown of NPAS2 led to a lower level.
Conclusion: NPAS2 is upregulated in prostate cancer and promotes cell survival by promoting glycolysis and inhibiting oxidative phosphorylation in PCa cells.
Diagnostic performance of an automated microscopy and pH test for diagnosis of vaginitis
Authors: Sagie Ahinoam Lev , Strauss Doris , Chetrit Avraham Ben 
Published: December 2022

Abstract
Vaginitis is a common gynecological problem, nevertheless, its clinical evaluation is often insufficient. This study evaluated the performance of an automated microscope for the diagnosis of vaginitis, by comparison of the investigated test results to a composite reference standard (CRS) of wet mount microscopy performed by a specialist in vulvovaginal disorders, and related laboratory tests. During this single site cross-sectional prospective study, 226 women reporting vaginitis symptoms were recruited, of which 192 samples were found interpretable and were assessed by the automated microscopy system. Results showed sensitivity between 0.84 (95%CI:0.75–0.93) and 0.90 (95%CI:0.81-1.00) and specificity between 0.66 (95%CI: 0.57–0.74) and 0.99 (95%CI: 0.98-1.00) for the various conditions. These findings demonstrate the marked potential of machine learning based automated microscopy and pH test of vaginal swabs for improving the first-line evaluation of five different types of infectious and non-infectious vaginal disorders, hopefully resulting in better treatment, decreasing healthcare costs, and an improvement in patients’ quality of life.
CellSighter – A neural network to classify cells in highly multiplexed images
Authors: Keren Leeat , Amitay Yael , Bussi Yuval , Feinstein Ben , Bagon Shai , Milo Idan 
Published: December 2022

Abstract
Multiplexed imaging enables measurement of multiple proteins in situ, offering an unprecedented opportunity to chart various cell types and states in tissues. However, cell classification, the task of identifying the type of individual cells, remains challenging, labor-intensive, and limiting to throughput. Here, we present CellSighter, a deep-learning based pipeline to accelerate cell classification in multiplexed images. Given a small training set of expert-labeled images, CellSighter outputs the label probabilities for all cells in new images. CellSighter achieves over 80% accuracy for major cell types across imaging platforms, which approaches inter-observer concordance. Ablation studies and simulations show that CellSighter is able to generalize its training data and learn features of protein expression levels, as well as spatial features such as subcellular expression patterns. CellSighter’s design reduces overfitting, and it can be trained with only thousands or even hundreds of labeled examples. CellSighter also outputs a prediction confidence, allowing downstream experts control over the results. Altogether, CellSighter drastically reduces hands-on time for cell classification in multiplexed images, while improving accuracy and consistency across datasets.
Applying Machine Learning to Consumer Wearable Data to Predict Complications After Pediatric Appendectomy
Authors: Abdullah Fizan , Ghomrawi Hassan , Fanton Michael , DeBoer Christopher , O'Brien Megan , Macaluso Rebecca , Carter Michela , Linton Samuel , Zeineddin Suhail , Pitt J. Benjamin , Bouchard Megan , Figueroa Angie , Kwon Soyang , Holl Jane , Jayaraman Arun 
Published: December 2022

Abstract

When children are discharged from the hospital after surgery, caregivers rely mainly onsubjectiveassessments (e.g., appetite, fatigue) to identify abnormal recovery symptoms since objective monitoring tools (e.g., thermometer) are very limited at home. Relying on such tools alone has resulted in unwarranted emergency department visits and delayed care. This study evaluated the ability of data from consumer-grade wearable devices, the Fitbit Inspire HR and Inspire 2, to predict abnormal symptoms and complications in children recovering after appendectomy. One hundred and sixty-two children, ages 3–17 years old, who underwent an appendectomy (76 simple and 86 complicated cases of appendicitis) wore a Fitbit device on their wrist for 21 days postoperatively. Symptoms and complications that arose during this monitoring period were gathered from medical records and patient report and used to label each postoperative day as either “abnormal recovery” or “normal recovery.” Fitbit-derived physical activity, heart rate, and sleep features and demographic and clinical characteristics were used to train balanced random forest classifiers to predict abnormal recovery days, separately for patients undergoing appendectomy for simple and complicated appendicitis. The classifiers accurately predicted 85% of abnormal recovery days up to the two days prior to the onset of a reported symptom/complication in complicated appendectomy patients and 70% of abnormal recovery days up to the two days prior in simple appendectomy patients. These results support the development of machine learning algorithms to predict onset of complications in children undergoing surgery and the role of the Fitbit as a monitoring tool for early detection of events.