bluuebunny/crossref_metadata_2025 huggingface dataset:
Informing Value: industry analysis for complex process facility digital twins
Authors: McNair Randell
Published: December 2022

The organizational capability of a firm to create, integrate and maintain cyber versions of complex physical systems known as Digital Twins is a key enabler for joining the 4th Industrial Revolution. This article highlights the business case for firms in the petrochemical process industry to manage digital twins as valuable business assets based on academic and business literature, webcast and live presentations, and the professional experiences of the author. A digital twin maturity model is provided to differentiate how each level of data integration contributes to informing. Three digital twin asset valuation models are introduced to illustrate how digital twins can inform value in different contexts. Findings include how knowledge is generated from digital twins, and how an informing attribute of decision making referred to here as ‘insight value’ can be realized from maintaining digital twins over the full asset lifecycle. Many software applications and tools have become available for firms to adopt this innovative technology; however, integration with the diverse and often siloed systems that serve as data sources have been hampered by inconsistent data governance, data exchange requirements, and interface standards. This article, the first in a series of three, explores on-going efforts to mitigate this problem of practice as interest in application of this innovative technology reaches the tipping point where industry-wide adoption drives greater efficiency and improves decision making throughout the complex facility lifecycle.
Informing Operations: evaluating the need to maintain complex process facility digital twins
Authors: McNair Randell
Published: December 2022

During the design phase of major capital projects, information content about complex process facilities is created and used to model how the facility will operate once completed. In the Oil and Gas (O&G) sector, this digital design data is referenced to plan material orders, stage testing, and track commissioning of the facility components. It can also inform decisions related to construction, installation, and ongoing operational activities of these facilities across multiple locations around the world. Training the workforce to build and maintain this content in the operational context is one of the critical infrastructure challenges of the Industry 4.0 digital transformation. This empirical findings study evaluated a large integrated petrochemical process industry (PcPI) firm as it struggled to understand the need to manage three-dimensional (3D) design models as digital twins after custody of facilities transitioned from project to operations. Results from an exploratory case study at that firm were compared to a transcript of a project kickoff meeting hosted by process industry standards organization. Consistent themes and recommendations surfaced across both sessions and validated findings. Understanding how firms in this sector perceive the need to manage 3D models as digital twins throughout the facility lifecycle supports the need to determine the informing value of this important category of digital assets.
To Stay True or Take the Mass Market Route?
Authors: Lee ChienChing , Woo Emily , Yap Greg
Published: December 2022

Singapore has won many accolades as a Meetings, Incentives, Conferences and Exhibitions (MICE) destination for 17 years in the Asia Pacific, with the industry having a projected market value of USD5,214.0 by end 2027, with a CAGR of 8.4% (PRNewswire, 2020).

Eyeing this huge growth potential, Greg founded TAB Group Pte Ltd in 2019, serving the corporate and private events market. Greg wanted to create memorable experiences and connect people by curating unique events with selected vendors, making the entire event planning process seamless and transparent for customers via TAB’s online platform solution while providing excellent and personalized customer service. Response was good and TAB was ready to scale up.

Then Covid-19 struck in December 2019. This global pandemic spared no economy, with many countries currently experiencing multiple waves of resurgence, prompting governments to declare lockdowns and suspensions of green lane travel arrangements. While pivoting to curating virtual experiences afforded TAB the opportunity to diversify its offerings and continue to be relevant in the new normal, ongoing restrictions and limitations placed on gatherings and group sizes by the local government inhibited TAB from taking off in the scale that it had projected.

Considering the economic downturn, businesses locally and internationally, were experiencing reduced budgets on corporate events and client entertaining. With TAB’s target corporate customer segment not buying events at the same pace pre-Covid, Greg was faced with two options. The first option was to rebrand his product and market to consumers and special events. Greg would be faced with fierce competition from bigger players that already offer existing solutions and dominate this segment while potentially losing his core segment of corporate customers that demand his unique solution. The second option was to remain committed to TAB’s core vision and mission of offering TAB’s solution to a niche market. This could potentially result in prolonged limited growth in the short term. However, it would also enable TAB to build a strong base of suppliers and partners to be ready to expand when borders reopen and travel resumes.
Breaking the Mold: Positioning TASUS to Win the Talent War
Authors: Kutz Diane
Published: December 2022

In August 2018, the Plant Manager of a TASUS manufacturing facility in rural Florence, Alabama, confronts a human resource management challenge: How to recruit and retain employees with needed skills, given low unemployment both locally and nationwide as well as increased competition from manufacturers who recently moved into Northwest Alabama?

The TASUS plant managers are proud of its family-oriented culture, positive working relationships with employees who are empowered to search for ways to improve productivity and firm performance. The firm works diligently to create a culture in which employees feel empowered, recognized and respected.

During some exit interviews, TASUS managers discover that employees are leaving for “personal reasons” or higher pay elsewhere. TASUS faces the challenge, similar to many firms in today’s competitive marketplace, of attracting, retaining, and engaging high performing workers. In an employee-driven labor marketplace, how can TASUS differentiate itself from its competitors in the war for talent, and how can it retain its talented workers?

The pending decision consists of whether to stay the course which includes maintaining their current talent management approach or modify their current strategy. This decision will impact all areas of the company, as is true of most talent management decisions.
Informing Standards: evolving the business case for maintaining complex process facility digital twins
Authors: McNair Randell
Published: December 2022

An industry standards organization sponsors a project to design a standard and document a means to assess the practical and economic benefits of 3D model maintenance throughout the complex process facility lifecycle. This article chronicles the elaborated action design research (eADR) approach used to evaluate the design and implementation stages of this project, reflecting on this ongoing effort to deploy a standard for management of 3D models. These 3D design models are a foundational element of the virtual representation or ‘digital twin’ of physical assets. The researcher evaluates the project artifacts created to date, focusing on the business case for the standard with various use cases where value can be derived from investment in maintaining the model beyond the design stage of capital facility development and its impact on total cost of ownership. Included in the analysis is an outline of key artifacts created as part of the researcher’s intervention and how they were created as well as a summary of the project’s artifacts and the use cases they support. Initial results of the project team’s analysis reveal how firms can reduce total cost of ownership while improving the performance and reliability of complex process facilities by maintaining the 3D design models and using them throughout the facility lifecycle.
Allbridge: Reigning in the Accounts Receivable Horses
Authors: Mokube Iya , M Davis Shane , eid mohamad , Shiflet Donald
Published: December 2022

Randy Koubek, Allbridge's CFO, had an AR problem. He couldn’t help but wonder if the AR situation was the main problem, or if it was symptomatic of a deeper issue. Was it primarily an internal problem, where the existing AR department could benefit from more focused training? Did Allbridge need to implement new technology and/or processes to improve current debt collection practices? Were there underlying cash flow or billing issues that could be addressed to resolve the larger AR issue? Was there value in a more drastic option, like eliminating the entire department and outsourcing accounts receivable? Or could the AR situation be an indication of a larger customer problem? Did Allbridge need to use some triggers to help customers make timely payments? Should Allbridge consider levying late fees on customers who were significantly behind in their payments, and could this be done without losing customers? He had a very important decision to make.
Satisfying Privacy Laws One Hurdle at a Time
Authors: J Melone Michael , mishra asmita , P Rogers Leo , PEQINI AMARELA , Felperin A USF Josh
Published: December 2022

This article analyzes a situation encountered by eParts Services, a web portal provider, when looking to expand into the European market. It focuses on the challenges involved in meeting GDPR regulation and proposes a variety of approaches on how they could meet regulatory needs.
Acervos e contra-acervos: sobre saqueamentos, feitiços e redemoinhos na arte indígena contemporânea
Authors: Fonseca Carolina Ferreira , Castro Laura
Published: December 2022

O texto desdobra-se da seguinte questão: “Como deslocar as relações entre aura, obra, acervo e museus diante do que o diagrama da arte indígena contemporânea vem redesenhando sobre diagrama da arte contemporânea brasileira?”. A sondagem desta questão é guiada pela imagem de um redemoinho que desenha uma exposição imaginária onde se enredam  Glicéria Tupinambá, Daiara Tukano e Patrícia Ferreira “Para Yxapy” e de um Saci- curador, ser encantado que se infiltra na política das imagens, nos bastidores  e nas engrenagens dos dispositivos: museu, coleção, exposição e da própria história da arte.  O texto é sobre atravessar esse redemoinho, mapear saqueamentos coloniais, revisitar a encenação do moderno e escutar as ressonâncias de processos mobilizados por artistas indígenas contemporâneas a fim de confrontar as relações estreitas entre colonialidade e acervos, apontando para a ideia de contra-acervos e contra- arquivos da arte.
ARCH-COMP22 Category Report: Hybrid Systems Theorem Proving
Authors: Mitsch Stefan , Zhan Bohua , Sheng Huanhuan , Bentkamp Alexander , Jin Xiangyu , Wang Shuling , Foster Simon , Pardillo Laursen Christian , Huerta Y Munive Jonathan Julián
Published: December 2022

This paper reports on the Hybrid Systems Theorem Proving (HSTP) category in the

ARCH-COMP Friendly Competition 2022. The characteristic features of the HSTP cate- gory remain as in the previous editions [MST+18, MST+19, MMJ+20], it focuses on flexi- bility of programming languages as structuring principles for hybrid systems, unambiguity and precision of program semantics, and mathematical rigor of logical reasoning principles. The benchmark set includes nonlinear and parametric continuous and hybrid systems and hybrid games, each in three modes: fully automatic verification, semi-automatic verifica- tion from proof hints, proof checking from scripted tactics. This instance of the competition focuses on presenting the differences between the provers on a subset of the benchmark examples.
Tibial and femoral bones segmentation on CT-scans: a deep learning approach
Authors: Maintier Ludivine , Maguet Ehouarn , Clavé Arnaud , Stindel Eric , Burdin Valérie , Dardenne Guillaume
Published: December 2022

Custom implants in Total Knee Arthroplasty (TKA) could improve prosthesis’ durability and patient’s comfort, but designing such personalized implants requires a simplified and thus automatic workflow to be easily integrated in the clinical routine. A good knowledge of the shape of the patient's femur and tibia is necessary to design it, but segmentation is still today a key issue. We present here an automatic segmentation approach of the three joints of the lower limb: hip, knee and ankle, using convolutional neural networks (CNNs) on successive transverse views from CT images. Our three 2D CNNs are built on the U-net model, and their specialization each on one joint allowed us to achieve promising results presented here. This could be integrated in a TKA planning software allowing the automatic design of TKA custom implants.
Intraarticular Quasi-Constant Force Tension in Total Knee Arthroplasty Regardless of Joint Gap and Knee Size
Authors: Rueff Matthew , Glenboski Josh , Lacaille Roger , Angibaud Laurent
Published: December 2022

Balancing soft tissues in the knee with the patella in place and with regularly applied force helps surgeons make decisions for positioning knee components in a manner that is friendly to soft tissues. A novel intraarticular device has been developed for achieving a balanced knee joint over the range of motion of the knee without requiring manual adjustments during surgery. Quasi-Constant force output was generated by the device at usual joint gaps for the knee sizes encountered during total knee arthroplasty.
A benchmark for Deep Learning-based approaches for In-vivo segmentation of 2D images in Total Knee Arthroplasty
Authors: Dehaine Baptiste , Decrouez Marion , Loy Rodas Nicolas
Published: December 2022

Progress in machine learning and artificial intelligence (AI) opens the way to the devel- opment of smart clinical-assistance systems and decision-support tools for the operating room (OR). Yet, before deploying these algorithms in the OR, assessment of their perfor- mances in real clinical conditions is necessary. Gathering intraoperative data for training and testing is hard, and robustness to the challenging conditions of the OR is not always demonstrated. In this paper we introduce a unique multi-patient dataset of images cap- tured during Total Knee Arthroplasty (TKA) surgery. We use this dataset to compare five deep learning-based image segmentation approaches and provide quantitative and qualita- tive results. We hope that this work will help bringing light on the performances of AI in a real surgical environment.
Cloud-Based Three-Dimensional Pattern Analysis and Classification of Proximal Humeral Fractures – A Feasibility Study
Authors: Baumann Denise , Gerber Popp Ariane , Degen Markus , Brodbeck Dominique , Coigny Florian , Suter Thomas , Schkommodau Erik
Published: December 2022

For the complex clinical issue of treatment decision for proximal humeral fractures, dedicated software based on three-dimensional (3D) computer tomography (CT) models would potentially allow for a more accurate fracture classification and help to plan the surgical strategy needed to reduce the fracture in the operating theatre. The aim of this study was to elaborate the feasibility of implementation of such software using state-of-the-art cloud technology to enable access to its functionalities in a distributed manner. Feasibility was studied by implementation of a prototype application, which was tested in a usability study with five biomedical engineers.

Implementation of a cloud-based solution was feasible using state-of-the-art technology under application of a specific software architectural approach allowing to distribute computational load between client and server. Mean System Usability Scale (SUS) Score for the developed application was determined to be 63 (StDev 20.4). These results can be interpreted as a medium low usability with high standard deviation of the measured SUS score. We conclude that more test subjects should be included in future studies and the developed application should be evaluated with a representative user group such as orthopaedic shoulder surgeons in a clinical setting.
Early post-operative outcomes following robotic vs. manual total knee arthroplasty in low- vs. high-volume surgeons.
Authors: Hoeffel Daniel , Goldstein Laura , Michnacs Kristian , Ruppenkamp Jill , Anandan Manoranjith , Holy Chantal
Published: December 2022

Introduction: Primary robotic total knee arthroplasty (TKA) is associated with favorable outcomes. To further understand robotic TKA learning curve, we evaluated early postoperative outcomes of robotics vs. manual TKA, based on surgeon experience. Methods: Patients (> 64 years) from the Medicare database, with primary, unilateral, elective TKA (“index”) from October 2015 to December 2019 were identified and categorized based on robotic vs. manual surgery, and surgeon experience: low-count surgeons had < 40 cases in the 12-months pre-index; medium-low, medium- high and high count surgeons had 41-80, 81-120 and 121-160 cases, respectively. The low-count robotic cohort (RC) was compared to the low, medium-low, medium-high, and high count manual cohort (MC) for the length of the hospital stay (LOS), and rates of home and skilled nursing facility (SNF) discharge. Descriptive statistics (means and proportion with 95% confidence intervals) were performed. Results: 296 low-count robotic cases were compared to 209,494 low-count manual and 252,905 medium-low, medium-high and high-count manual cases. The low-count RC had an average LOS of 2.03 days (95% confidence intervals (CI): 1.86-2.20) vs. 2.20 days (95%CI: 2.20-2.21) for the low-count MC. 82.4% patients (95%CI: 78.1%-86.8%) from the low-count RC were discharged home vs. 74.2% (95%CI: 74.0%-74.4%) in the low-count MC and 83.6% (95%CI: 83.3%-84.0%) in the high-count MC. Discharge to SNF affected 15.2% (95%CI: 11.1%-19.3%) in the low-count RC vs. 21.0% (95%CI: 20.9%-21.2%) and 15.2% (95%CI: 14.9%-15.4%) in the low-count and medium-high MC, respectively. Conclusion: Patients operated with robotic surgery by surgeons with low yearly volume had a LOS and probability of home discharge similar to that of patients operated with manual surgery by high-volume surgeons. Patients in the robotic group also had a lower rate of SNF discharge compared to the patients in the manual surgery group, with surgeons of similar experience.
Ability to Achieve Mediolateral Gap Balance with Instrumented Navigated Total Knee Arthroplasty – A Review of the First 150 Cases
Authors: Angibaud Laurent , Jung Amaury , Hamad Cyril , Fan Wen , Davis Mark , Zirgibel Brian , Deister Jake , Huddleston James
Published: December 2022

Appropriate management of the soft tissue envelope at the time of the surgery is critical to the long- term success of total knee arthroplasty (TKA). In this regard, this

computer-assisted orthopedic surgery (

a force-controlled intraarticular distractor. The first 150 cases performed by 16 surgeons were reported without any exclusions, and for each of these cases, the final mediolateral (ML) laxity was compared to the predicted ML laxity. The average signed ML laxity was well aligned with a neutral differential throughout the full arc of motion and ranged from -0.05mm at 35° of flexion to 0.37mm at 85° of flexion. The signed ML laxity curves tend to be surgeon specific. The average unsigned ML laxity was linear throughout the full arc motion and ranged from 1.14mm at 85° of flexion to 1.27mm

at 30° of flexion.

the targeted ML gap balance when using a

featuring

Despite data from all the users (not only design surgeons) involved with this pilot

release were considered and the learning curve cases were not excluded, it was observed a high ability

study evaluated the ability to achieve

CAOS) system

to achieve the targeted ML laxity using the proposed method.
Two Simulink Models with Requirements for a Simple Controller of a Pacemaker Device
Authors: Ayesh Mostafa , Mehan Namya , Dhanraj Ethan , El-Rahwan Abdul , Opalka Simon Emil , Fan Tony , Hamilton Akil , Jacob Akshay Mathews , Sundarrajan Rahul Anthony , Widjaja Bryan , Menghi Claudio
Published: December 2022

This paper proposes a benchmark for a controller of a pacemaker device developed as part of the course “SFWRENG 3MD3 - Safe Software-Intensive Medical Devices” pro- vided at McMaster University. The benchmark includes two alternative Simulink® models, developed by two different groups of students. Each model comes with a requirement for- malized in Signal Temporal Logic (STL). We also present the testing results obtained using S-TaLiRo, a well-known testing framework for Simulink® models.
ARCH-COMP 2022 Category Report: Falsification with Ubounded Resources
Authors: Ernst Gidon , Arcaini Paolo , Fainekos Georgios , Formica Federico , Inoue Jun , Khandait Tanmay , Mahboob Mohammad Mahdi , Menghi Claudio , Pedrielli Giulia , Waga Masaki , Yamagata Yoriyuki , Zhang Zhenya
Published: December 2022

This report presents the results from the 2022 friendly competition in the ARCH work- shop for the falsification of temporal logic specifications over Cyber-Physical Systems. We briefly describe the competition settings, which have been inherited and adapted from the previous years, give background on the participating teams and tools, and discuss the selected benchmarks. In this year’s competition, in addition to the result validation introduced in the previous year, we change the experimental settings for a better account of the difficulty of benchmarks and for a better comparability between the tools.
Functional Safe Zone for Cup Orientation in THA
Authors: Guezou-Philippe Aziliz , Marchadour Wistan , Pluchon Jean-Philippe , Letissier Hoel , Lefèvre Christian , Stindel Eric , Dardenne Guillaume
Published: December 2022

The usual safe zone for cup orientation in THA is not suitable for all patients, as the pelvic tilt varies with the movements of daily activities. A new Functional Safe Zone (FSZ) is proposed that considers the pelvic tilt in different positions. The aims of this study were to validate the proposed FSZ and to evaluate how the pelvic mobility impact it.

We measured the pelvic tilts of 30 patients when standing, sitting and supine, using our ultrasound-based device and computed their FSZs. The FSZs accuracy was assessed using a Computer-Aided-Design (CAD) software. The pelvic mobility influence onto the FSZ was assessed by jointly analysing the patients’ FSZs and their pelvic tilt difference between positions.

The true FSZ provided by the CAD software and the estimated FSZ were similar by 92% and differed by less than 0.5◦ at borders and at the mean orientation. Patients with stiff pelvic mobility obtained small FSZs, and conversely, patients with large pelvic tilt variations between positions obtained large FSZs.

The proposed method allows the computation of a patient-specific FSZ without requir- ing additional X-ray or CT images. Patients having a low pelvic mobility with a higher risk of postoperative instability could be better managed using this FSZ.
Fully Automatic Analysis of Posterosuperior Full-Thickness Rotator Cuff Tears from MRI
Authors: Hess Hanspeter , Gussarow Philipp , Rojas J Tomás , Weber Stefan , Hayoz Annabel , Zumstein Matthias A. , Gerber Kate
Published: December 2022

Rotator cuff tears (RCT) are one of the most common sources of shoulder pain. Many factors can be considered to choose the right surgical treatment procedure. Of the most important factors are the tear retraction and tear width, assessed manually on preoperative MRI.

A novel approach to automatically quantify a rotator cuff tear, based on the segmentation of the tear from MRI images, was developed and validated. For segmentation, a neural network was trained and methods for the automatic calculation of the tear width and retraction from the segmented tear volume were developed.

The accuracy of the automatic segmentation and the automated tear analysis were evaluated relative to manual consensus segmentations by two clinical experts. Variance in the manual segmentations was assessed in an interrater variability study of two clinical experts.

The accuracy of the tear retraction calculation based on the developed automatic tear segmentation was 5.3 mm ± 5.0 mm in comparison to the interrater variability of tear retraction calculation based on manual segmentations of 3.6 mm ± 2.9 mm.

These results show that an automatic quantification of a rotator cuff tear is possible. The large interrater variability of manual segmentation-based measurements highlights the difficulty of the tear segmentations task in general.
Computer and Robotic Assisted Orthopaedic Knee Arthroplasty Surgery: Did CAOS technologies have an impact on the mainstream principles and concepts in the orthopaedic knee forum? A case study on alignment and balancing for TKA.
Authors: Wallace David , Mahmood Fahd , Deakin Angela , Riches Philip , Deep Kamal , Baines Joseph , Picard Frederic
Published: December 2022

Computer technology is ubiquitous and relied upon in virtually all professional activities. Confounding this is orthopaedic surgery where less than 5% of surgeons are using computer-assisted technologies routinely. However, the impact of Computer Assisted Orthopaedic Surgery (CAOS) may go beyond adoption in theatre.

We searched pubmed for all knee arthroplasty papers concerning knee alignment and balancing between 1976 and 2016, dividing the results into those related to CAOS and those not. Results were grouped by technology.

Between 2001 and 2008, the number of publications regarding knee navigation multiplied by 20 mainly focused on this topic of alignment and balancing, with alignment papers paralleled between navigation and non-navigation until 2010. After 2010, when navigation publications decline the number of articles related to the knee alignment and balancing without navigation increased granting the value of assessing accurately intraoperative kinematic data to improve Total Knee Arthroplasty (TKA) outcomes. From 2008, patient specific instrumentation (PSI) publications greatly increase, but navigation decreases, while robotic publications rise from 2014.

CAOS surgery publications on the search topic of alignment and balancing increased greatly between 2001 and 2018 which may suggest the impact of CAOS technology on this important knee orthopaedic forum segment.
Development of a Portable Upper Limb Muscle Dynamometer for Assessment of Neuromuscular Injury Patients
Authors: Day Colin , Bedard Erik , El Alaoui Yassine , Hwang Mark , Berger Michael , Giles Joshua W
Published: December 2022

Introduction

Patient recovery from neuromuscular injuries that cause upper limb dysfunction is commonly assessed via manual methods. Manual muscle testing is subjective, time consuming and requires extensive training. Existing dynamometers are more objective, but they are prohibitively expensive and impractically large, making them inaccessible to most clinics and patients with disabilities. Our aim is to develop a table-top upper limb muscle dynamometer that provides standard positioning, ease of use and portability while giving clinicians consistent and reliable quantitative data on a patient’s isotonic and isometric muscle power and strength, respectively.

Methods

The device consists of a lever arm, a brushless DC motor, a load sensor and an ergonomic cuff. It outputs analog data via standard BNC connectors. The device can be intuitively controlled by the operator to test various upper limb joints and motions. Isometric measurement repeatability was assessed by recording the maximal voluntary contractions of 18 healthy participants over three trials.

Results

The repeatability across 3 trials was 2.70±2.27 Nm (95th percentile: 6.74 Nm) for elbow flexion, and 2.83±2.13 Nm (95th percentile: 5.65 Nm) for elbow extension.

Conclusions

The dynamometer demonstrates a marked improvement in repeatability relative to manual muscle testing. Its small footprint and low cost can make it an easily accessible, standardized testing tool that requires little training to use. Future research and development will focus on using field-oriented control to measure isotonic muscle power in addition to isometric strength.
CNN based 2D vs. 3D Segmentation of Bone in Ultrasound Images
Authors: Hohlmann Benjamin , Brößner Peter , Radermacher Klaus
Published: December 2022

Fully-automatic and reliable segmentation of bone surface in volumetric ultrasound images could enable the use of this imaging technique for a variety of tasks, including diagnosis of hip dysplasia, ACL injuries in the knee as well as patient-specific instrumentation and implants in total hip or knee arthroplasty. Interpretation of volumetric data is a hard task, even for humans. In this study, we investigate the benefit of using the spatial information of a third dimension on the task of segmentation of the distal femoral bone. A data set of 52 volumetric image with 12771 image slices is split into a training and test set. We employ 2D and 3D variants of the nnUNet architecture and compare the accuracy in terms of dice coefficient and performance in terms of inference time. Note that processing of 2D data allows for a bigger model due to less memory consumption. Both architectures achieve a Dice of about 82% while the 2D variant shows less false positive segmentation and achieves a surface distance error of 0.44mm, in contrast to 0.81mm for the 3D variant. At the same time, the former infers three times faster at about 10 seconds per volume image. Apparently, model size has a bigger positive effect than the additional spatial information. Thus, we recommend considering 2D segmentation architectures even for volumetric segmentation tasks.
X-ray based morphological analysis of the knee - a review
Authors: Grothues Sonja , Radermacher Klaus
Published: December 2022

Mismatch between the patient’s knee morphology and the implant geometry is linked to poorer clinical outcome after total knee arthroplasty (TKA). Hence, patients whose knee morphology differs strongly from the norm may have a higher risk to be dissatisfied after surgery. Consequently, a preoperative risk assessment regarding differences between individual knee morphology and implant geometry is favorable. For adequate availability and limited radiation dose, this should be based on standard imaging in TKA, being conventional radiographs.

We reviewed morphological measures of the knee to be evaluated on X-ray images. Only measures of the articulating areas, without connections to pathologies such as patellar instability or pain, were included. In addition, the accuracy of 2D-3D knee reconstruction was reviewed, in order to assess the potential use for 3D X-ray based analysis.

Various parameter definitions for the evaluation on anterior-posterior and lateral X-rays exist in the literature. If given, the inter- and intraobserver reliability can be interpreted as moderate to excellent. Several authors have reported on 2D-3D reconstruction accuracies with maximum absolute errors of ~5-6 mm for in vitro studies.

Mismatch between the bone morphology implant geometry can partly be assessed in 2D, using single X-rays. Methods for 2D-3D reconstruction demonstrated potential for enabling 3D X ray-based analyses. However, improvements regarding accuracy and larger in vivo validation studies are pending.

A basic preoperative risk assessment using X-rays is possible. Future steps could include the automation of the parameter derivation and an enhancement of 2D-3D reconstruction for enabling a more comprehensive assessment.
Validation of an Imageless Optical Computer-assisted Navigation System for Total Knee Arthroplasty
Authors: Xiang William , Windsor Eric , Wang Sheila , Inglis Allan , Sculco Peter
Published: December 2022

Background: Restoration of the hip-knee-ankle (HKA) angle to within 3 of the neutral mechanical axis is considered a well-aligned total knee arthroplasty (TKA), with outliers associated with higher failure rates. Thus, efforts to improve intraoperative surgical accuracy are of strong clinical interest. This study evaluated the accuracy and safety of a novel, imageless, computer-assisted navigation system (CAS) for TKA.

Methods: 112 consecutive patients who underwent primary TKA between January-December 2020 with 2 board-certified, high-volume orthopedic surgeons using the same imageless CAS were retrospectively reviewed. Patient age, BMI, sex, postoperative complications, and reoperations were collected. Two trained reviewers independently assessed tibial and femoral component mechanical alignment measurements in a standardized manner on postoperative full-leg AP and lateral radiographs. The primary outcome was mean absolute degrees of difference for each measurement compared to intraoperative CAS measurements. Outcomes were reported as means  standard deviation.

Results: 38%(N=43/112) of patients were male. Mean age was 698 years and mean BMI was 31.15.9. 71%(N=79/112) of patients had a well-aligned TKA (HKA within 3).

The mean absolute difference was 1.51.2 for femoral coronal alignment, 1.00.8 for tibial coronal alignment, 2.21.5 for femoral flexion, and 1.81.6 for tibial slope.

Two patients(1.8%) underwent reoperation; specifically, 1 patient received a 1-stage revision for periprosthetic joint infection 5 months postoperatively and the other underwent lysis of adhesions 9 months postoperatively for arthrofibrosis.

Conclusions: This novel imageless CAS provides accurate readings within 2 for tibial and femoral coronal and sagittal alignment, and patients have low complication rates at early follow-up.
Two-year clinical outcomes of total shoulder arthroplasty performed with a computer navigated surgery system
Authors: Greene Alexander T. , Daviller Clément , Polakovic Sandrine V. , Davis Noah , Roche Christopher
Published: December 2022

Two-year minimum clinical outcomes were collected on anatomic and reverse total shoulder arthroplasty patients enrolled in a single implant global registry that were performed using an intraoperative computer navigated surgery system. Age, gender, and follow-up matched cohorts were created from the same registry for comparison purposes for both anatomic and reverse total shoulder arthroplasty. The navigated cohorts exhibited as good or better clinical outcomes compared to the non-navigated cohorts as well as reductions in postoperative complications, revision rates, and adverse events.
Surgeon vs. semi-automated software measured assessment of glenoid retroversion
Authors: Greene Alexander T. , Daviller Clément , Polakovic Sandrine V. , Davis Noah , Roche Christopher
Published: December 2022

Preoperative anatomic measurements in total shoulder arthroplasty (TSA) influence a surgeon’s decision-making process in deciding treatment options for a given patient. Glenoid retroversion is one of the most significant measurements and can be highly subject to intra- and inter-observer variability in measurement technique. This study compares surgeon measured retroversion values to semi-automated software measured retroversion values on the same 1862 computed tomography scans, showing consistent measurements with an average absolute mean error between the two techniques of 3.1 ± 3.6°
Population Level Validation of a Novel Joint Distraction Radiology Protocol in Total Knee Arthroplasty Planning
Authors: Liu David , Jagota Ishaan , Twiggs Joshua , Miles Brad
Published: December 2022

A key goal of all TKA alignment strategies is to achieve joint balance. This study aims to compare the alignments achieved by preoperatively planning to a novel distracted joint gap protocol to common alignment strategies as well as to the alignment of a healthy non-arthritic population.

A retrospective study comprised of 145 knees was performed. A long-leg supine CT scan, weightbearing AP knee X-ray and two distracted knee X-rays (one each in extension and flexion, making use of an ankle weight to open the joint) were taken pre-operatively. This imaging was used to perform segmentation, landmarking and 3D-to-2D registration. The medial and lateral joint gaps were determined in extension and flexion.

The mean weightbearing, KA planned and distracted joint planned HKA were 4.7° (±5.9°) varus, 0.3° (±3.2°) varus, and 2.2° (±3.5°) varus. This compares to a healthy adult HKA of 1.3° (±2.3°) varus. A patient level comparison between the planned KA and distracted joint HKA found that the coronal angles of the two alignments are within 3° of each other for 64% patients, within 3-5° for 26% of patients and greater than 5° for the remaining 10% of patients.

Of those compared, the planned distracted HKA was the closest to the constitutional varus HKA of a healthy population. Patient level analysis highlighted the fundamental differences between the planned KA and joint distracted alignments. By considering both hard and soft tissue, the planned joint distracted alignment allows for a more holistic foundation for pre-operative surgical planning for a given patient.
Computer and Robotic Assisted Orthopaedic Knee Arthroplasty Surgery Who drives innovations?
Authors: Wallace David , Mahmood Fahd , Deakin Angela , Riches Philip , Deep Kamal , Baines Joseph , Picard Frederic
Published: December 2022

Computer assisted and Robotic technology in orthopaedic surgery is still not commonplace compared to un-assisted, conventional orthopaedic surgery. We analysed the relationship between patents and publications trend and question whether we could recognise a pattern which would confirm industry-driven innovation in orthopaedic surgery.

Following the same methodology used by Dalton et al. in 2016, we searched pubmed for publications between 1980 and 2018 concerning unicompartmental, patient specific instrumentation, navigation and robotic knee arthroplasty, and patents registered under the “knee arthroplasty” or “knee replacement” label over the same period. Data was plotted using 4 point moving averages.

Between 2004 and 2008, the number of publications regarding navigation multiplied by 20 following the number of patents registered during the same period. From 2008 onwards, the number of navigation publications declined while Patient Specific Instrumentation (PSI) publications increased also following patent investments from orthopaedic companies. Finally, robotic publications grew significantly pulled by massive patent registrations after 2012.

It seems that the industry has finally found a lucrative economical model after many years of trial and errors and sustained driving innovations.
El proceso de producción agroindustrial en el cantón La Troncal. Una propuesta de mejora desde las tecnologías emergentes
Authors: Vega Abad Cesar Remigio , Castillo Ortega Yonimiler
Published: December 2022

La presente investigación realiza una propuesta de incorporación de las tecnologías emergentes en los procesos productivos de las pequeñas y medianas empresas agroindustriales del cantón La Troncal, perteneciente a la provincia de Cañar en Ecuador. Para el desarrollo de la misma se utilizaron métodos teóricos que permitieron el análisis a profundidad de las categorías y procesos de la investigación; así como métodos empíricos para el levantamiento de la información. Entre estos, la entrevista estructurada que sirvió de base para realizar un análisis de Fortalezas, Oportunidades, Debilidades y Amenazas respecto a la utilización de tecnologías emergentes en las agroindustrias estudiadas. Como resultado se encontró que hay una limitada implementación de tecnologías emergentes debido a que la consideran como un gasto y no como una inversión que incremente productividad y competitividad. Una importante fortaleza es que tienen implementados sistemas de gestión de calidad que les ha permitido mantenerse en el mercado. Sin embargo, la falta de sensibilización respecto al uso de las tecnologías constituye una limitante importante. Finalmente, se propuso un plan de acciones y un grupo de estrategias bajo la técnica CAME, entre las que se encuentran estrategias de reorientación, ofensivas, defensivas y de supervivencia para la implementación en el mediano y largo plazo de las tecnologías emergentes que les permitan dar un salto de desarrollo a las agroindustrias estudiadas.
Efecto de paclobutrazol y Glomus intraradices en el cultivo de Lilium cv. Armandale y Tresor
Authors: Rios Florida Lizeth Gabriela , De La Cruz Guzmán Gumercindo Honorato , Arriaga Frías Alberto , Mandujano Piña Manuel
Published: December 2022

Los reguladores de crecimiento vegetal se han utilizado para mejorar el aspecto visual de las ornamentales, y la aplicación de micorrizas para facilitar la absorción de fósforo.  En esta investigación, se evaluó el efecto de tres concentraciones de paclobutrazol y un inóculo con esporas de Glomus intraradices en el crecimiento, floración y distribución de biomasa de Lilium cv. Armandale y Tresor, fertirrigados con solución nutritiva completa o deficiente de fósforo. Cuarenta y cinco bulbos de cada cultivar fueron sumergidos en soluciones con 0, 50 o 200 mg L-1 de paclobutrazol y plantados en macetas con 2,5 L de tezontle, a 15 bulbos se les espolvoreó 1 g del inóculo antes de su plantación. Los resultados mostraron que Lilium ‘Armandale’ fue más alto (59,13 cm) que ‘Tresor’ (47,80 cm). En ambos cultivares, paclobutrazol redujo la altura y los tipos de riego no afectaron esta variable. El número de hojas (89), diámetro (17,90 mm) y longitud (47,49 mm) de botones florales fueron similares en ‘Armandale’ y ‘Tresor’. El número y biomasa fresca de los botones florales fueron 1,3 y 2,5 veces mayores en ‘Tresor’ cuyos tallos florales fueron visualmente más llamativos. El fertirriego con solución nutritiva deficiente de fósforo en bulbos inoculados incrementó la biomasa seca de raíces, pero no la de tallos y hojas, es decir, el efecto positivo del inóculo ocurrió en el sitio de interacción hongo-planta.
UKRAINIAN EXPERIENCE OF COMPARING THE TEST RESULTS OF CFA PILES BY SLT AND DLT METHODS
Authors:   Kharkiv National University of Civil Engineering and Architecture, Samorodov О.V. , Tabachnikov S.V. ,   Kharkiv National University of Civil Engineering and Architecture
Published: December 2022

The paper considers the domestic experience of implementing the advanced DLT method of research into the bearing capacity of bored piles which is based on principles of the stress wave theory and included in the American and European regulatory documents. The possibility of using this test method to determine the design loads on the piles has been shown. A regression model has been developed for determining the pile ultimate resistance relative to soil based on the data of the pile parallel tests using the DLT and SLT methods
Pelatihan Penanganan Hasil Tangkapan Bagi Nelayan di Pelabuhan Perikanan Samudera Kendari
Authors: Alimina Naslina , Asnani  , Sara La , Arami Hasnia , Mustafa Ahmad
Published: December 2022

Kualitas atau mutu hasil tangkapan sangat menentukan harga dan peluang bagi pemasaran produk.  Pemeliharaan mutu komoditas perikanan di pelabuhan perikanan harus diawali lebih jauh mulai dari atas kapal.  Sebagai mata rantai awal bisnis perikanan, nelayan dan tenaga-tenaga bongkar yang ada di pelabuhan perikanan memiliki peran penting dalam menjaga mutu ikan yang dihasilkan.  Namun demikian, belum semua nelayan dan tenaga bongkar yang melakukan aktivitas di pelabuhan perikanan memiliki pemahaman tentang pentingnya menjaga mutu ikan dan bagaimana penanganan ikan yang baik.  Peningkatan kapasitas nelayan dan tenaga bongkar dalam kegiatan ini dilakukan melalui pemahaman tentang pentingnya menjaga mutu hasil tangkapan mulai dari daerah penangkapan hingga ke pelabuhan dan peningkatan keterampilan cara penanganan  ikan yang baik.
Sosialisasi Tentang Pembentukan Produk Hukum Desa Di Desa Anyar Kecamatan Bayan Kabupaten Lombok Utara
Authors: Minollah Minollah , Asmara Galang , Kaharuddin Kaharuddin
Published: December 2022

Tujuan dari Sosialisasi tentang Pembentukan Produk Hukum Desa Di Desa Anyar Kecamatan Bayan Kabupaten Lombok Utara adalah untuk Memberikan pemahaman kepala desa, anggota BPD dan masyarakat Desa Anyar tentang produk hukum desa dan pembentukannya. Sosialisasi dilakukan dengan melakukan penyampaian materi oleh Tim Penyuluh, kemudian dilakukan tanya jawab, diskusi dan arahan teknis pembentukan produk hukum desa dan hasil akhir dari sosialisasi para peserta sosialisasi memiliki pengetahuan dan pemahaman tentang produk hukum desa dan pembentukannya serta diharapkan sosialisasi tentang hukum dapat dilakukan kembali secara periodik.
Caracterización agronómica de germoplasma de Salvia hispanica L.
Authors: Xingú López Andrés , González Huerta Andrés , De la Cruz Torres Eulogio , Sangerman-Jarquín Dora María , Montes Hernandez Salvador , Rubí Arriaga Martin
Published: December 2022

La Salvia hispanica L. (chía) es una planta herbácea originaria de México, pertenece a la familia Lamiaceae. El cultivo fue prohibido y sustituido por otros cereales durante la conquista. Por el contenido nutricional y propiedades nutraceúticas que posee, se ha reintroducido y actualmente se considera un alimento potencial altamente nutritivo. La superficie sembrada se incremente anualmente, los materiales cultivados son genotipos locales o introducidos, debido que son escasas las variedades mejoradas. Con el objetivo de identificar accesiones sobresalientes, orientadas a una mayor eficiencia del cultivo, durante el ciclo agrícola primavera-verano 2017, se caracterizaron agronómicamente 32 accesiones de S. hispanica, en siete ambientes, bajo un diseño de bloques completos al azar con tres repeticiones. Se evaluaron las variables: altura de planta, diámetro de tallo, peso de planta, número de espigas, peso de grano por planta y rendimiento por hectárea. Las accesiones 1, 2, 12 y 22 presentaron mayor rendimiento de semilla por hectárea, altura de planta, número de espigas florales, frutos por espiga y peso seco de planta. El promedio de producción de semilla fue de 924 kg ha-1. El mejor ambiente para producción de chía fue Rancho San Lorenzo, Metepec. El análisis clúster agrupo a las accesiones en cinco conglomerados, agrupándolos por su rendimiento y variables afines.