bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abandonment of ancient cities near the Salawusu River valley, China, triggered by stream capture
Authors: Wang Wei , Li Baosheng , Wen Xiaohao , Xu Liubing , Huang Rihui , Feng Jing , Qiu Mingkun 
Published: December 2022

AbstractSeveral cities in the Salawusu River basin in the western Mu Su Desert of China were abandoned after the Yuan Dynasty (1271 to 1368 CE). Incisions of rivers caused by earth uplift coupled with a drier climate after the Yuan Dynasty have previously been attributed to such irreversible abandonments. Here we use geomorphological analyses, coupled with hydrological reconstructions to investigate the ancient stream patterns in the period leading up to the abandonments. We find that the abandonment of wells, the thermoluminescence age of which is about 640 years before present, in these cities coincided with a stream capture event that led to rapid river valley incision of up to 95 mm/year. We suggest that this stream piracy event lowered the water table in the area and triggered the abandonment of settlements, rather than a change to a drier climate as previously believed. We conclude that when considering environmental influences on archaeological records, geographic events must be considered in addition to climatic change.
Overview and prospect of information and communication technology development in virtual power plants
Authors: Li Bin , Wang JingJu , Bai XueFeng , Tang TianYue , Zhao JianLi , Liu Chuan , Hou ZhanSheng , Banimenia Izzeddin , Ali Rashid 
Published: December 2022

AbstractAs a new energy‐supply service solution to address massive, distributed energy access to the power system, a virtual power plant has higher transmission reliability and real‐time communication requirements. To achieve collaborative optimisation, distributed load and energy resources must be aggregated using new information and communication technology. This study analyses underlying communication technologies for virtual power plant interaction from the perspective of standardisation, efficiency, reliability, and security, summarises the application of blockchain, cloud‐edge collaboration, machine learning, and other new information and communication technologies in virtual power plant energy trading, interaction, and scheduling, and proposes ideas for addressing shortcomings in interaction. To improve virtual power plant interaction, performance parameter mapping between communication and business technology, and multilevel virtual power plant interaction technology are proposed.
Anomaly detection and clustering‐based identification method for consumer–transformer relationship and associated phase in low‐voltage distribution systems
Authors: Chu Zhenyue , Cui Xueyuan , Zhai Xingli , Liu Shengyuan , Qiu Weiqiang , Waseem Muhammad , Aziz Tarique , Wang Qin , Lin Zhenzhi 
Published: December 2022

AbstractThe identification accuracy of low‐voltage distribution consumer–transformer relationship and phase are crucial to three‐phase unbalanced regulation and error correction in consumer–transformer relationships. However, owing to the rapid increase in the number of consumers and the upgrade of the feed lines for low‐voltage distribution systems, the timely update of the consumer‐transformer relationship and phase information of consumers is challenging. This influences the accuracy of the basic information of the power grid. Thus, this study proposes a low‐voltage distribution network consumer–transformer relationship and phase identification method based on anomaly detection and the clustering algorithm. First, the improved fast dynamic time warping distance based on the filter search between voltage sequences is used to measure the similarity between voltage curves. Subsequently, an abnormal consumer detection method based on the local outlier factor is used to identify consumers with mismatched consumer‐transformer relationships by determining the local outlier factor scores of voltage curves. Furthermore, the phase information of normal consumers is identified through clustering by fast search and find of density peaks. Finally, the proposed method is validated using case studies of practical low‐voltage distribution systems in China. The proposed method can effectively improve phase identification accuracy and maintain high adaptability in various data environments.
Restricted Boltzmann Machine and Matrix Factorization-Alternating Square Algorithm for Development Tourist Recommendation System
Authors: Pratama Yohanssen , Sianturi Riyanthi Angrainy , Chandra Dedi , Lumbantoruan Kristopel , Tampubolon Indah Trivena 
Published: December 2022

Abstract
The rapid development of technology affects the growth of tourist attraction information in Indonesia. Therefore, an accurate recommendation system is needed in recommending tourist attractions. In this final project, we use the Collaborative Filtering method, namely the Restricted Boltzmann Machine (RBM) algorithm and the Matrix Factorization-Alternating Least Squares (MF-ALS) algorithm in recommending tourist attractions. Attraction recommendations will be generated from the type of tourist attraction available on the website and the rating that has been given by previous users who have visited the tourist attraction. We use a root mean square error (RMSE) to find the accuracy. From the results of the research and implementation of the two algorithms, it can be concluded that the RBM algorithm is more accurate than the MF-ALS algorithm. The RBM algorithm has an RMSE value of 41%, while the MF-ALS algorithm 81%.
Evaluation and Performance Analysis using ANP and TOPSIS Algorithm
Authors: Utama Dana Marsetiya , Parameswari Reza Putri , Mubin Ahmad 
Published: December 2022

Abstract
Suppliers play an important role in supporting the supply chain within the company. Therefore, evaluation of suppliers in the company is a problem that is studied to improve the performance of the company’s supply chain. The purpose of this study is to evaluate the performance of green suppliers using the Analytic Network Process (ANP)-Technique for order performance by similarity to ideal solution (TOPSIS). ANP is used to weigh each factor and criteria, and TOPSIS is used to evaluate the performance of green suppliers. This research is a case study on the construction industry in Indonesia. Six factors and fourteen sub-criteria are used to evaluate the performance of green suppliers. Based on the ANP method, the cost factor is the criterion that has the highest weight, which is 0.44318. The sub-criteria that has the highest weight is product price, with a weight of 0.2681. Furthermore, the order of green supplier performance based on TOPSIS shows that supplier B ranks first, followed by suppliers A, D, and C.
Rough Set: Utilizing Machine Learning for the Covid-19 Vaccine
Authors: Andini Silfia , Arminarahmah Nur , Achmad Daengs GS , Surya Sara , Afdhal Muhammad 
Published: December 2022

AbstractRough Set is a machine learning algorithm that analyses and determines important attributes based on an uncertain data set. The purpose of this study is to classify public interest in the Covid-19 vaccine. Vaccination is one of the solutions from the government that is considered the most appropriate to reduce the number of Covid-19 cases. Data collection was taken through a questionnaire distributed to the village community in Air Manik Village, Padang-West Sumatra, randomly as many as 100 respondents. The assessment attributes in this study are Vaccine Understanding (1), Environment (2), Community Education (3), Vaccine Confidence (4), and Cost (5), while the target attribute is the result that contains the community’s interest or not to participate in vaccination. The analysis process is assisted using the Rosetta application. This study resulted in 3 reductions with 58 rules based on 100 respondents. This study concludes that the Rough Set algorithm can be used to classify public interest in the Covid-19 vaccine. Based on this research, it is hoped that it can provide information and input for local governments to be more aggressive in urging and encouraging the public to be vaccinated.
A Dynamics System of Modelling for Construction Development
Authors: Sarasanty Diah , Asmorowati Erna Tri 
Published: December 2022

Abstract
The construction industry is one industry that contributes significantly to a country’s economic growth. A construction project is successful if the implementation meets the three components namely the cost, time and quality. Project financing is one of the important components in the construction project activities that define how much budget should be provided in a construction project activity. Cost components used for feasibility studies, design alternatives are possible, and the selection of optimal design in a construction project. Inaccuracy in analyzing construction costs can have a negative effect on the entire construction process and all parties involved. A system dynamics approach is a simulation method in solving real-world problems to describe relationships among variables in complex real systems. The expected results from this research are quantitatively in the form of reinforced concrete work costs which are influenced by direct costs and indirect costs that can be updated in real-time. From the simulation results, a graphical analysis through the model output will be obtained and all the resulting scenarios can be compared. In addition, with sensitivity analysis through model scenarios, it can accommodate all possible deviations that will occur in the future, including risk factors in the future.
Effects of chain ownership and private equity financing on quality in the English care home sector: retrospective observational study
Authors: Patwardhan Sharvari , Sutton Matthew , Morciano Marcello 
Published: December 2022

Abstract

Background
the structure of care homes markets in England is changing with the emergence of for-profit homes organised in chains and financed by private equity. Previous literature shows for-profit homes were rated lower quality than not-for-profit homes when inspected by the national regulator, but has not considered new forms of financing.

Objectives
to examine whether financing and organisation of care homes is associated with regulator assessments of quality.

Methods
retrospective observational study of the Care Quality Commission’s ratings of 10,803 care homes providing services to older people as of January 2020. We used generalised ordered logistic models to assess whether ratings differed between not-for-profit and for-profit homes categorised into three groups: (i) chained ownership, financed by private equity; (ii) chained ownership, not financed by private equity and (iii) independent ownership. We compared Overall and domain (caring, effective, responsive, safe, well-led) ratings adjusted for care home size, age and location.

Results
all three for-profit ownership types had lower average overall ratings than not-for-profit homes, especially independent (6.8% points (p.p.) more likely rated as ‘Requires Improvement/Inadequate’, 95% CI: 4.7–8.9) and private equity chains (6.6 p.p. more likely rated as ‘Requires Improvement/Inadequate’, 95% CI: 2.9–10.2). Independent homes scored better than private equity chains in the safe, effective and responsive domains but worst in the well-led domain.

Discussion
private equity financing and independent for-profit ownership are associated with lower quality. The consequences of the changing care homes market structure for quality of services should be monitored.
Symptom Provocation Following Post-concussion Computerized Neurocognitive Testing and Its Relationship to Other Clinical Measures of Concussion
Authors: Stephenson Katie , Womble Melissa N , Eagle Shawn , Collins Michael W , Kontos Anthony P , Elbin R J 
Published: December 2022

Abstract

Objective
The objective of this study was to document the prevalence of post-computerized neurocognitive test (post-CNT) increases in symptoms in athletes with sport-related concussion, and to examine the effect of post-CNT symptom increases on concussion neurocognitive and vestibular/ocular motor clinical outcomes.

Methods
This was a retrospective analysis of medical records from a concussion specialty clinic. Two hundred and three athletes (M = 16.48 ± 1.97 years; 44% [90/203] female) completed a clinical visit for concussion within 30 days of injury (M = 7.73 ± 5.54 days). Computerized neurocognitive testing (the Immediate Post-concussion Assessment and Cognitive Testing: ImPACT), the Post-Concussion Symptom Scale (PCSS), and the Vestibular Ocular Motor Screening (VOMS) were the main outcome measures for the current study.

Results
Sixty-nine percent (141/203) of the sample did not report significant increases in PCSS scores following post-concussion CNT and were classified into a No Provocation (NO PROV) group. Thirty-one percent (62/203) of participants did report a significant increase in symptoms following post-concussion CNT and were classified into a Provocation (PROV) group. Neurocognitive performance was similar between groups. However, the PROV group reported significantly higher scores on the VOMS symptom items than the NO PROV group.

Conclusions
The majority of adolescent athletes can complete a post-concussion CNT without experiencing significant increases in concussion symptoms. Individuals that report symptom increases from completing a post-concussion CNT are more likely to exhibit increased vestibular/ocular motor symptoms. These findings underscore the relationship between the clinical findings from both CNT and vestibular/ocular motor measures following concussion.
Intrinsic Job Quality Attributes and Perceived Stress Amongst Social Workers: The Mediating Role of In-Work Social Environment Factors
Authors: Achdut Netta , Schwartz Tayri Talia Meital 
Published: December 2022

Abstract
Social work is a highly stressful occupation, its practice requiring coping with complex situations integral to serving the most deprived populations. Professionals in this field experience varying degrees of secondary trauma, burnout and psychological distress imperiling their own well-being. This study uses the newest framework of intrinsic job attributes to examine a multidimensional model of intrinsic job quality constructs to explain perceived stress (PS) amongst national sample of social workers in Israel (N = 2,542). Based on cross-sectional data, we employed exploratory factor analysis and confirmatory factor analysis to construct intrinsic job quality index. Structural equation model (SEM) and path analyses revealed the adverse effect of workload and a poor physical working environment on social workers’ PS. Social environment factors relating to superiors’ and co-workers’ support and sense of recognition mediated the effects of workload, job autonomy, physical working environment and meaningful work on social workers’ PS through diverse pathways. These findings may inform policy measures responding to the urgent need to monitor social workers’ workload and suggest how to nurture a stress-reducing social environment in social services in order to promote social workers’ well-being and the quality of the services they provide.
Bioanalysis of Endogenous Isotretinoin in Altered and Unaltered Human Plasma by Liquid Chromatography–Tandem Mass Spectrometry Coupled with Electrospray Ionization
Authors: Soni Kanchan , Agrawal Gopal Prasad 
Published: December 2022

Abstract
Bioanalytical method development and validation of endogenous Isotretinoin with Isotretinoin D5 as internal standard was done as per current regulatory guidelines. The method is simple, rugged and sensitive enough to estimate endogenous Isotretinoin using the chromatography-tandem mass spectrometry technique. An alternative approach has been adopted for quantitative analysis of endogenous Isotretinoin in human plasma. Isotretinoin free matrix (surrogate matrix) was prepared and further used for the development and validation of Isotretinoin. The method was validated in altered and unaltered plasma. The chromatographic optimization was done with column (ACE C18, 100 × 4.6 mm I.D. 5 μm particle size), using a mobile phase containing 1 mM ammonium acetate, pH 3.0 as a solvent A and solvent B (1 mM ammonium acetate (pH 3.0) with acetonitrile in a ratio of 10:90). A flow rate was set at 0.75 mL/min in a binary gradient mode. The analyte was recovered by liquid–liquid extraction method with diethyl ether as an extraction solvent. Multi-reaction monitoring mode in negative polarity was implemented for the quantification of endogenous Isotretinoin in plasma. The calibration curve of Isotretinoin was linear (r2 &gt; 0.9992) over the concentration range of 0.5–1000 ng/mL. The intra-day precision was found in a range of 2.0–3.9% CV for altered samples and 0.9–3.7% CV for unaltered samples. The inter-day precision was found 2.6–6.1% CV for altered samples and 1.3–3.8% CV for unaltered samples. The average recovery of the extraction procedure was found 64.6% for altered samples and 62.2% for unaltered samples.
Transmitted Drug Resistance to Integrase-Based First-Line Human Immunodeficiency Virus Antiretroviral Regimens in Mediterranean Europe
Authors: de Salazar Adolfo , Viñuela Laura , Fuentes Ana , Teyssou Elisa , Charpentier Charlotte , Lambert-Niclot Sidonie , Serrano-Conde Esther , Pingarilho Marta , Fabeni Lavinia , De Monte Anne , Stefic Karl , Perno Carlo Federico , Aguilera Antonio , Falces Iker , Delgado Rafael , Fernandes Sandra , Diogo Isabel , Gomes Perpetua , Paraskevis Dimitrios , Santoro Maria-Mercedes , Ceccherini-Silberstein Francesca , Marcelin Anne-Geneviève , Garcia Federico 
Published: December 2022

Abstract

Background
We evaluated the prevalence of transmitted drug resistance (TDR) to integrase strand-transfer inhibitors (INSTIs) and nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs) and of clinically relevant resistance (CRR) in newly diagnosed people with human immunodeficiency virus (HIV; PWH) naive to antiretroviral therapy (ART) in Europe.

Methods
MeditRes is a consortium that includes ART-naive PWH newly diagnosed in France, Greece, Italy, Portugal, and Spain during 2018–2021. Reverse transcriptase and INSTI sequences were provided by participating centers. To evaluate the prevalence of surveillance drug resistance mutations (SDRM), we used the calibrated population resistance tools from the Stanford HIV website. To evaluate CRR, defined as any resistance level ≥3, we used the Stanford HIV Drug Resistance Database v.9.1 algorithm.

Results
We included 2705 PWH, 72% men, median age of 37 years (interquartile range, 30–48); 43.7% were infected by non-B subtypes. The prevalence of INSTI-SDRMs was 0.30% (T66I, T66A, E92Q, E138T, E138K, Y143R, S147G, R263K; all n=1) and the prevalence of NRTI-SDRMs was 5.77% (M184V: 0.85%; M184I: 0.18%; K65R/N: 0.11%; K70E: 0.07%; L74V/I: 0.18%; any thymidine analog mutations: 4.36%). INSTI-CRR was 2.33% (0.15% dolutegravir/bictegravir, 2.29% raltegravir/elvitegravir) and 1.74% to first-line NRTIs (0.89% tenofovir/tenofovir alafenamide, 1.74% abacavir, 1.07% lamivudine/emtricitabine).

Conclusions
We present the most recent data on TDR to integrase-based first-line regimens in Europe. Given the low prevalence of CRR to second-generation integrase inhibitors and to first-line NRTIs during 2018–2021, it is unlikely that newly diagnosed PWH in MeditRes countries would present with baseline resistance to a first-line regimen based on second-generation integrase inhibitors.
Global myocardial oedema in resuscitated out-of-hospital cardiac arrest patients assessed by cardiac magnetic resonance: a pilot study
Authors: Klein Anika , Grand Johannes , Meyer Martin Abild Stengaard , Wiberg Sebastian , Mogelvang Rasmus , Vejlstrup Niels , Schousboe Birgitte , Gjedsted Jakob , Oestergaard Morten , Wanscher Michael , Kjaergaard Jesper , Hassager Christian 
Published: December 2022

AbstractAimsMyocardial dysfunction is well described after out-of-hospital cardiac arrest (OHCA); however, the underlying mechanisms are not yet understood. We hypothesized that this dysfunction is associated to a global myocardial oedema. Using cardiac magnetic resonance (CMR), we assessed the presence of such oedema early after successful resuscitation from OHCA.Methods and resultsComatose patients resuscitated from OHCA and admitted to the cardiac intensive care unit were consecutively included and underwent CMR in general anaesthesia within 36 h after cardiac arrest with anaesthetic support. To assess global myocardial oedema, T1 and T2 segmented maps were generated from three representative short-axis slices, and values from each segment were then used to determine a mean global T1 and T2 time for each patient. Healthy subjects were used as controls. CMR was obtained in 16 patients and compared with nine controls. The OHCA patients were 60 ± 9 years old, and acute myocardial infarction (MI) was diagnosed in six cases. On admission, left ventricular ejection fraction assessed by transthoracic echocardiography was 35 ± 15%, and this improved significantly to 43 ± 14% during hospitalization (P &lt; 0.05). Mean global T1 and T2 time was significantly higher in OHCA patients compared with the control group (1071 ms vs. 999 ms, P = 0.002, and 52 ms vs. 46 ms, P &lt; 0.001, respectively), and this difference remained significant when segments involved in the MI were excluded.ConclusionAssessed with CMR, we for the first time document an early global myocardial oedema in patients successfully resuscitated from OHCA.