bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sarcopenia and its impact in head and neck cancer treatment
Authors: de Bree Remco , van Beers Maartje A. , Schaeffers Anouk W.M.A. 
Published: February 2022

Purpose of review
The aim of this review is to discuss recent studies on the assessment of sarcopenia and its predictive and prognostic value in head and neck cancer (HNC) patients.

Recent findings
There is increasing evidence that low skeletal muscle mass (SMM), often named sarcopenia, can easily be assessed on cross-sectional imaging of the head and neck and is associated with chemotherapy (dose limiting) and radiotherapy toxicity and survival.

Summary
SMM measurement at the level of the third cervical vertebra (C3) on routine computed tomography and magnetic resonance imaging is easy and robust to perform. Several studies have shown a significantly higher incidence of cisplatin dose limiting toxicity in HNC patients with a low SMM. In HNC patients pretreatment low SMM is associated with acute and late toxicity and adverse events of radiotherapy, complications of major head and neck surgery and decreased disease-specific and overall survival. This information can be used for individualized treatment planning in HNC patients with low SMM.
Artificial intelligence in endourology: emerging technology for individualized care
Authors: Dai Jessica C. , Johnson Brett A. 
Published: February 2022

Purpose of review
Artificial intelligence in medicine has allowed for efficient processing of large datasets to perform cognitive tasks that facilitate clinical decision-making, and it is an emerging area of research. This review aims to highlight the most pertinent and recent research in artificial intelligence in endourology, where it has been used to optimize stone diagnosis, support decision-making regarding management, predict stone recurrence, and provide new tools for bioinformatics research within endourology.

Recent findings
Artificial neural networks (ANN) and machine learning approaches have demonstrated high accuracy in predicting stone diagnoses, stone composition, and outcomes of spontaneous stone passage, shockwave lithotripsy (SWL), or percutaneous nephrolithotomy (PCNL); some of these models outperform more traditional predictive models and existing nomograms. In addition, these approaches have been used to predict stone recurrence, quality of life scores, and provide novel methods of mining the electronic medical record for research.

Summary
Artificial intelligence can be used to enhance existing approaches to stone diagnosis, management, and prevention to provide a more individualized approach to endourologic care. Moreover, it may support an emerging area of bioinformatics research within endourology. However, despite high accuracy, many of the published algorithms lack external validity and require further study before they are more widely adopted.
Assessing Long-Term Outcomes in Breast Implant Illness: The Missing Link? A Systematic Review
Authors: Rohrich Rod J. , Bellamy Justin L. , Alleyne Brendan 
Published: February 2022

Summary:
The purpose of this special topic article is to explore the current state of outcomes-based literature related to breast implant illness and summarize the key understandings that emerge from the summation of existing studies. While implanted silicone devices are some of the most ubiquitous products in modern medicine, the safety of silicone breast implants has long remained under scientific scrutiny. In the era of social media and with breast implants once again under public scrutiny with the recent connection of texture silicone implants to breast implant–associated anaplastic large-cell lymphoma, the borders between breast implant illness and other implant-related diseases are becoming clouded in the public eye. The surgical management options for breast implant illness range from simple implant explantation alone to complete en bloc capsulectomies, or even secondary exploratory operations for additional capsulectomy in persistently symptomatic patients. In this review of outcomes-based studies related to breast implant illness, the authors found that a subset of patients improves with surgical intervention but limited evidence to inform most current surgical management practices. Further, the nature of this illness renders it difficult to study. A carefully designed, large, prospective, outcomes-based study is still required if an evidence-based and sound treatment approach for this condition is to be established.
Clinical and Kidney Structural Characteristics of Living Kidney Donors With Nephrolithiasis and Their Long-term Outcomes
Authors: D’Costa Matthew R. , Merzkani Massini A. , Denic Aleksandar , Mullan Aidan F. , Larson Joseph J. , Kremers Walter K. , Park Walter D. , Alexander Mariam P. , Chakkera Harini A. , Taler Sandra J. , Erickson Stephen B. , Stegall Mark D. , Issa Naim , Rule Andrew D. 
Published: February 2022

Background.
Nephrolithiasis in living kidney donors is concerning due to the potential impact on long-term postdonation kidney function.

Methods.
We performed a cohort study of living kidney donors from 2 centers with a baseline computed tomography scan and implantation renal biopsy. Donors (>5 y since donation) completed a follow-up survey or underwent chart review to assess eGFR and incident hypertension. Stone formers were classified as symptomatic if they had a past symptomatic episode or asymptomatic if only incidental radiographic kidney stones were identified during donor evaluation. We compared baseline clinical, imaging, and biopsy characteristics by stone former status including review of metabolic evaluations in stone formers. Long-term risks of renal complications (low eGFR and hypertension) by stone former status were evaluated.

Results.
There were 12 symptomatic and 76 asymptomatic stone formers among 866 donors. Overall, baseline clinical characteristics and implantation biopsy findings were similar between stone formers and non-stone formers. After a median follow-up of 10 y, stone former status was not associated with eGFR <60 mL/min/1.73 m2, eGFR <45 mL/min/1.73 m2, or hypertension.

Conclusions.
Both asymptomatic and symptomatic SF have favorable histology findings at baseline. Long-term kidney outcomes were favorable in select stone formers with no evident increased long-term risk for decreased kidney function or hypertension after donation.
New and emerging pharmacologic treatments for developmental and epileptic encephalopathies
Authors: Vasquez Alejandra , Buraniqi Ersida , Wirrell Elaine C. 
Published: February 2022

Purpose of reviewSummarize evidence on Developmental and Epileptic Encephalopathies (DEEs) treatments focusing on new and emerging pharmacologic therapies (see Video, http://links.lww.com/CONR/A61, Supplementary Digital Content 1, which provides an overview of the review).Recent findingsAdvances in the fields of molecular genetics and neurobiology have led to the recognition of underlying pathophysiologic mechanisms involved in an increasing number of DEEs that could be targeted with precision therapies or repurposed drugs, some of which are currently being evaluated in clinical trials. Prompt, optimal therapy is critical, and promising therapies approved or in clinical trials for tuberous sclerosis complex, Dravet and Lennox–Gastaut Syndromes including mammalian target of rapamycin inhibitors, selective membrane channel and antisense oligonucleotide modulation, and repurposed drugs such as fenfluramine, stiripentol and cannabidiol, among others, may improve seizure burden and neurological outcomes. There is an urgent need for collaborative efforts to evaluate the efficacy and safety of emerging DEEs therapies.SummaryDevelopment of new therapies promise to address unmet needs for patients with DEEs, including improvement of neurocognitive function and quality of life.
Exploring the vagus nerve and the inflammatory reflex for therapeutic benefit in chronic spinal cord injury
Authors: Bloom Ona , Tracey Kevin J. , Pavlov Valentin A. 
Published: February 2022

Purpose of review
To describe features and implications of chronic systemic inflammation in individuals with spinal cord injury (SCI) and to summarize the growing therapeutic possibilities to explore the vagus nerve-mediated inflammatory reflex in this context.

Recent findings
The discovery of the inflammatory reflex provides a rationale to explore neuromodulation modalities, that is, electrical vagus nerve stimulation and pharmacological cholinergic modalities to regulate inflammation after SCI.

Summary
Inflammation in individuals with SCI may negatively impact functional recovery and medical consequences after SCI. Exploring the potential of the vagus nerve-based inflammatory reflex to restore autonomic regulation and control inflammation may provide a novel approach for functional improvement in SCI.
Combating the SARS-CoV-2 Omicron variant with non-Omicron neutralizing antibodies
Authors: Wang Yingdan , Zhang Xiang , Liu Jiangyan , Wang Yanqun , Zhan Wuqiang , Liu Mei , Zhang Meng , Wang Qimin , Liu Qianying , Zhu Tongyu , Wen Yumei , Chen Zhenguo , Zhao Jincun , Wu Fan , Sun Lei , Huang Jinghe 
Published: February 2022

AbstractThe highly mutated and transmissible Omicron variant has provoked serious concerns over its decreased sensitivity to the current coronavirus disease 2019 (COVID-19) vaccines and evasion from most anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) neutralizing antibodies (NAbs). In this study, we explored the possibility of combatting the Omicron variant by constructing bispecific antibodies based on non-Omicron NAbs. We engineered ten IgG-like bispecific antibodies with non-Omicron NAbs named GW01, 16L9, 4L12, and REGN10987 by fusing the single-chain variable fragments (scFvs) of two antibodies through a linker and then connecting them to the Fc region of IgG1. Surprisingly, eight out of ten bispecific antibodies showed high binding affinity to the Omicron receptor-binding domain (RBD) and exhibited extreme breadth and potency against pseudotyped SARS-CoV-2 variants of concern (VOCs) including Omicron, as well as authentic Omicron(+R346K) variants. Six bispecific antibodies containing the cross-NAb GW01 neutralized Omicron variant and retained their abilities to neutralize other sarbecoviruses. Bispecific antibodies inhibited Omicron infection by binding to the ACE2 binding site. A cryo-electron microscopy (cryo-EM) structure study of the representative bispecific antibody FD01 in complex with the Omicron spike (S) revealed 5 distinct trimers and one unique bi-trimer conformation. The structure and mapping analyses of 34 Omicron S variant single mutants elucidated that two scFvs of the bispecific antibody synergistically induced the RBD-down conformation into 3-RBD-up conformation, enlarged the interface area, accommodated the S371L mutation, improved the affinity between a single IgG and the Omicron RBD, and hindered ACE2 binding by forming bi-trimer conformation. Our study offers an important foundation for anti-Omicron NAb design. Engineering bispecific antibodies based on non-Omicron NAbs may provide an efficient solution to combat the Omicron variant.
In silico analysis of predicted differential MHC binding and CD8+ T-cell immune escape of SARS-CoV-2 B.1.1.529 variant mutant epitopes
Authors: Riesgo-Ferreiro Pablo , Gudimella Ranganath , Bukur Thomas , Sorn Patrick , Rösler Thomas , Schrörs Barbara , Löwer Martin 
Published: February 2022

AbstractIntroductionThe B.1.1.529 (Omicron) SARS-CoV-2 variant has raised global concerns due to its high number of mutations and its rapid spread. It is of major importance to understand the impact of this variant on the acquired and induced immunity. Several preliminary studies have reported the impact of antibody binding and to this date, there are few studies on Omicron’s CD8+ T-cell immune escape.MethodsWe first assessed the impact of Omicron and B.1.617.2 (Delta) variant mutations on the SARS-CoV-2 spike epitopes submitted to the Immune Epitope Database (IEDB) with positive out-come on MHC ligand or T-cell assays (n=411). From those epitopes modified by a mutation, we found the corresponding homologous epitopes in Omicron and Delta. We then ran the netMHCpan computational MHC binding prediction on the pairs of IEDB epitopes and matching homologous epitopes over top 5 MHC I alleles on some selected populations. Lastly, we applied a Fisher test to find mutations enriched for homologous epitopes with decreased predicted binding affinity.ResultsWe found 31 and 78 IEDB epitopes modified by Delta and Omicron mutations, respectively. The IEDB spike protein epitopes redundantly cover the protein sequence. The WT pMHC with a strong predicted binding tend to have homologous mutated pMHC with decreased binding. A similar trend is observed in Delta over all HLA genes, while in Omicron only for HLA-B and HLA-C. Finally, we obtained one and seven mutations enriched for homologous mutated pMHC with decreased MHC binding affinity in Delta and Omicron, respectively. Three of the Omicron mutations, VYY143-145del, K417N and Y505H, are replacing an aromatic or large amino acid, which are reported to be enriched in immunogenic epitopes. K417N is common with Beta variants, while Y505H and VYY143-145del are novel Omicron mutations.ConclusionIn summary, pMHC with Delta and Omicron mutations show decreased MHC binding affinity, which results in a trend specific to SARS-CoV-2 variants. Such epitopes may decrease overall presentation on different HLA alleles suggesting evasion from CD8+ T-cell responses in specific HLA alleles. However, our results show B.1.1.529 (Omicron) will not totally evade the immune system through a CD8+ immune escape mechanism. Yet, we identified mutations in B.1.1.529 (Omicron) introducing amino acids associated with increased immunogenicity.AvailabilityAll the code and results from this study are available at https://github.com/TRON-bioinformatics/omicron-analysis.
In-vivo egfp expression in the honeybee Apis mellifera induced by electroporation and viral expression vector
Authors: Leboulle Gérard , Gehne Nora , Froese Anja , Menzel Randolf 
Published: February 2022

ABSTRACTIn this study we describe egfp expression induced by two techniques: in vivo electroporation and viral transduction in several cell types of the adult honeybee brain. Non-neuronal and neuronal cell types were identified and the expression persisted at least during three days. Kenyon cells, optic lobe neurons and protocerebral lobe neurons were electroporated. Astrocyte-like glia cells, fibrous lamellar glia cells and cortex glia cells were identified. Viral transduction targeted one specific type of glia cells that could not be identified. EGFP positive cells were rather variable after electroporation, and viral transduction resulted in more homogenous groups of positive cells. We propose that these techniques remain a good alternative to transgenic animals because they potentially target only somatic cells.
Presenting an open data management (ecosystem) model with developing innovative information flow approach in Iranian knowledge-based companies
Authors: Feyzbakhsh Omm Al-Banin , Babalhavaeji Fahimeh , Nezafati Navid , Hariri Nadjla , Nooshinfard Fatemeh 
Published: February 2022

PurposeThis study aimed to present a model for open-data management for developing innovative information flow in Iranian knowledge-based companies (businesses).Design/methodology/approachThe method was mixed (qualitative-quantitative) and data collection tools were interview and questionnaire. The qualitative part was done to identify the influential components in open data management (ecosystem) using the grounded theory method. A questionnaire was developed based on the results of the qualitative section and the theoretical foundations, and the quantitative section was conducted by analytical survey method and the model was extracted using factor analysis and the integration of the qualitative section.FindingsSeven categories of entrepreneurial incentives, sustainable value, innovative features, challenges and barriers, actors, business model and requirements are the main categories that should be considered in open data management (ecosystem) with all categories of research have a significant relationship with open data management.Originality/valueThe study focused on open data management from an innovation paradigm perspective and its role in developing innovative information flow. The study aimed to identify the key components of the open data ecosystem, open-data value creation, and the need to use the “open data” approach to develop data-driven and knowledge-based businesses in Iran–an emerging approach largely ignored.
An analysis of public opinions regarding Internet-famous food: a 2016–2019 case study on Dianping
Authors: Song Cen , Zheng Li , Shan Xiaojun (Gene) 
Published: February 2022

PurposeInternet-famous food (also known as “online celebrity” food) is very popular in the digital age. This study aims to investigate consumer attitudes and understand consumer behavior towards Internet-famous food.Design/methodology/approachThe authors collected 136,835 online comments regarding “Internet-famous food” from Dianping platform between 2016 and 2019 using a web scraper. A sentiment lexicon for Internet-famous food was constructed, and sentiment analysis is further conducted to understand consumer attitudes. Additionally, the authors use topic analysis and time series analysis to study consumer behavior.FindingsSentiment analysis showed that the number of consumers' comments decreased over time with the attitudes being overall positive, and the Internet-famous food industry has a positive prospect; time series analysis showed that the consumption of Internet-famous food was not affected by the season; topic analysis showed that consumers' comments on Internet-famous food were rich with a large variety, covering food categories, brand, quality, service, environment and price.Originality/valueTo the authors’ knowledge, limited research has focused on public opinions regarding “Internet-famous food”. This is the first study on consumer behavior towards Internet-famous food. This article provides a unique insight into the purchasing behavior and attitude of Chinese Internet-famous food consumers through text mining.
Assessing the impact of project brief clarity using project definition rating index tool and system dynamic
Authors: Vahabi Ali , Nasirzadeh Farnad , Mills Anthony 
Published: February 2022

PurposeBriefing in a project delivery context is one of the most critical factors in the project success. It defines client requirements, translates these needs into design criteria and generates a design concept. A lack of briefing clarity is one of the main causes of design changes and may lead to project cost and time overruns. This research aims to assess the brief clarity and its influence on project cost and duration.Design/methodology/approachThis research created the PDRI-SD technique by utilising a system dynamic (SD) approach and project definition rating index (PDRI) tool to model the complex system of project briefing and associated variables. Stock and flow diagrams of the main subsystems including the briefing, the detailed design and the construction process, were developed to assess the influence of brief clarity on project cost and time. The PDRI was adopted to measure the briefing clarity and apply in the model. PDRI-SD was then tested in Australian building refurbishment projects to assess the model's effectiveness.FindingsThe simulation results indicated that a minor reduction of the lack of clarity throughout the initial briefing process could significantly mitigate unpredicted delay and cost overruns during the detailed design and the construction stage.Originality/valueThis research contributed to the existing body of knowledge by developing an effective technique to measure the impact of lack of brief clarity on project cost and time performance. PDRI-SD can also aid project clients to predict the influence of the initial defined brief on the detailed design and construction process using the historical data of similar previous projects. It provides clients with feedback, indicating whether the brief meets project requirements or whether parts of the project brief require more clarification/rectification before the project handover to the builders.
Brand bank attachment to loyalty in digital banking services: mediated by psychological engagement with service platforms and moderated by platform types
Authors: Levy Shalom 
Published: February 2022

PurposeVarious digital banking platforms (website and apps) are offered to bank customers in order to create an experiential service, which is essential in retaining customers and generating brand bank loyalty. The current study aims to examine the dynamics of customer emotional experience generated during digital banking service delivery and investigate the effect of customer psychological engagement with various digital platform types on brand bank loyalty creation.Design/methodology/approachA conceptual framework was constructed. Data were collected from digital banking customers through a web-based survey conducted via an online Internet panel. It involved 502 participants. The study employs a path analysis method using structural equation modeling.FindingsThe empirical results suggest that there are two paths from emotional attachment to bank loyalty: a direct path and an indirect path shaped by customer psychological engagement with service platforms. Additionally, it was found that the digital platform (website vs apps) used by the customer determined the magnitude of the impact of emotional attachment to the bank on psychological engagement with service platforms.Practical implicationsThis research claims that features of digital banking services are sufficient to enhance affective brand responses and maintain long-lasting relationships with customers. Using experiential services and psychologically engaging the customers, this goal can be achieved. Additionally, well designed apps can improve interaction with services and subsequently enhance loyalty.Originality/valueThis study facilitates a better understanding of the customer's emotional–psychological state during engagement with digital service delivery. Its novelty and contribution to the literature focus on the notion that the impact of emotional attachment on bank loyalty is mediated by experiential psychological engagement with the digital platform and moderated by the type of digital platform used.