bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hierarchical control of island microgrid based on consensus algorithm
Authors: Tang Haoyang , Wang Yanping 
Published: September 2023

Abstract
When the load inside the microgrid changes, droop control maintains a stable power supply cycle of the microgrid by controlling the voltage and frequency at the parallel network of the distributed generation. Since the traditional microgrid droop control usually uses a fixed droop coefficient to adjust the output active power and reactive power, the frequency and voltage of the inverter parallel network will deviate from the system frequency and voltage rating to varying degrees, so a new layer of control link is needed to restore the target value. Moreover, most of the hierarchical control methods adopt centralized control methods, which have limitations such as high dependence on communication. This paper combines a hierarchical control framework and a consistency algorithm to propose a distributed sag control strategy for islanded microgrids based on a multi-agent system. It achieves equal-to-ratio output when distributed generation responds to power changes while maintaining the stability of the microgrid’s main performance indicators. Since the distributed system with a consistency algorithm does not require a centralized control centre, it increases the system’s robustness and reduces the dependence of the system on the communication network. Finally, an islanded AC microgrid model is built by MATLAB/Simulink, and the effectiveness of the proposed islanded microgrid hierarchical control strategy is verified by simulation.
A Method for Medium and Long Term Electricity Consumption Forecasting in Regional Distribution Networks
Authors: Zou Nan , Li Jifeng , Cao Tianyu , Ba Yu 
Published: September 2023

Abstract
Medium-term and long-term load forecasting is the basic data for formulating medium-term and long-term system maintenance plans and generation schedulings in the power system, and its prediction accuracy is crucial for the rationality of plan formulation. With the development of new energy generation units, a lot of distributed generation devices on the user side are connected to the distribution network, which harms the accuracy of load forecasting on distribution side. Therefore, a more accurate medium-term and long-term power forecasting method for the distribution network is needed. It is a primary problem for state grid to lack the historical electricity date. In response to this, some monthly electricity data are expanded by rolling daily electricity data. The diversity and multi-scale characteristics of factors affecting medium-term and long-term electricity demand limit the predictive performance of a single method. In response to this, a set empirical mode decomposition based on medium and long-term load electricity demand combination prediction method is proposed. Based on the fluctuation characteristics and patterns of each component after data decomposition, suitable prediction algorithms are used to predict each component separately, and finally, the predicted values of electricity demand are synthesized. The calculation results show that the prediction accuracy is effectively improved by the method of this paper.
MALTA-Cz: a radiation hard full-size monolithic CMOS sensor with small electrodes on high-resistivity Czochralski substrate
Authors: Pernegger H. , Allport P. , Berlea D.V. , Birman A. , Bortoletto D. , Buttar C. , Charbon E. , Dachs F. , Dao V. , Denizli H. , Dobrijevic D. , Dyndal M. , Fenigstein A. , Flores Sanz de Acedo L. , Freeman P. , Gabrielli A. , Gazi M. , Gonella L. , Gonzalez V. , Gustavino G. , Haim A. , Kugathasan T. , LeBlanc M. , Munker M. , Oyulmaz K.Y. , Piro F. , Riedler P. , Sandaker H. , Schioppa E.J. , Sharma A. , Snoeys W. , Solans Sanchez C. , Suligoj T. , Toledano E. , van Rijnbach M. , Vazquez Nunez M. , Weick J. , Worm S. , Zoubir A.M. 
Published: September 2023

Abstract
Depleted Monolithic Active Pixel Sensor (DMAPS) sensors developed in the Tower Semiconductor 180 nm CMOS imaging process have been designed in the context of the ATLAS ITk upgrade Phase-II at the HL-LHC and for future collider experiments. The “MALTA-Czochralski (MALTA-Cz)” full size DMAPS sensor has been developed with the goal to demonstrate a radiation hard, thin CMOS sensor with high granularity, high hit-rate capability, fast response time and superior radiation tolerance. The design targets radiation hardness of > 1015 (1 MeV) neq/cm2 and 100 Mrad TID. The sensor shall operate as tracking sensor with a spatial resolution of ≈ 10 μm and be able to cope with hit rates in excess of 100 MHz/cm2 at the LHC bunch crossing frequency of 40 MHz. The 512 × 512 pixel sensor uses small collection electrodes (3.5 μm) to minimize capacitance. The small pixel size (36.4 × 36.4 μm2) provides high spatial resolution. Its asynchronous readout architecture is designed for high hit-rates and fast time response in triggered and trigger-less detector applications. The readout architecture is designed to stream all hit data to the multi-channel output which allows an off-sensor trigger formation and the use of hit-time information for event tagging.
The sensor manufacturing has been optimised through process adaptation and special implant designs to allow the manufacturing of small electrode DMAPS on thick high-resistivity p-type Czochralski substrate. The special processing ensures excellent charge collection and charge particle detection efficiency even after a high level of radiation. Furthermore the special implant design and use of a Czochralski substrate improves the sensor's time resolution. This paper presents a summary of sensor design optimisation through process and implant choices and TCAD simulation to model the signal response. Beam and laboratory test results on unirradiated and irradiated sensors have shown excellent detection efficiency after a dose of 2 × 1015 1 MeV neq/cm2. The time resolution of the sensor is measured to be σ = 2 ns.
Biofabrication of an in-vitro bone model for Gaucher disease
Authors: Banerjee Dishary , Ivanova Margarita M , Celik Nazmiye , Kim Myoung Hwan , Derman Irem Deniz , Limgala Renuka Pudi , Ozbolat Ibrahim T , Goker-Alpan Ozlem 
Published: September 2023

Abstract
Gaucher disease (GD), the most prevalent lysosomal disorder, is caused by GBA1 gene mutations, leading to deficiency of glucocerebrosidase, and accumulation of glycosphingolipids in cells of the mononuclear phagocyte system. While skeletal diseases are the leading cause of morbidity and reduced quality of life in GD, the pathophysiology of bone involvement is not yet fully understood, partly due to lack of relevant human model systems. In this work, we present the first 3D human model of GD using aspiration-assisted freeform bioprinting, which enables a platform tool with a potential for decoding the cellular basis of the developmental bone abnormalities in GD. In this regard, human bone marrow-derived mesenchymal stem cells (obtained commercially) and peripheral blood mononuclear cells derived from a cohort of GD patients, at different severities, were co-cultured to form spheroids and differentiated into osteoblast and osteoclast lineages, respectively. Co-differentiated spheroids were then 3D bioprinted into rectangular tissue patches as a bone tissue model for GD. The results revealed positive alkaline phosphatase (ALP) and tartrate-resistant ALP activities, with multi-nucleated cells demonstrating the efficacy of the model, corroborating with gene expression studies. There were no significant changes in differentiation to osteogenic cells but pronounced morphological deformities in spheroid formation, more evident in the ‘severe’ cohort, were observed. Overall, the presented GD model has the potential to be adapted to personalized medicine not only for understanding the GD pathophysiology but also for personalized drug screening and development.
The Authoritarian Commons: Divergent Paths of Neighborhood Democratization in Three Chinese Megacities
Authors: Qiao Shitong 
Published: September 2023

Abstract
Can a liberal commons emerge in an authoritarian regime? Based on an in-depth investigation of the ongoing self-governance movement among hundreds of millions of homeowners in China, this Article examines the tension between authoritarianism and liberal commons for the first time. Empirically, this Article reveals a striking contrast: in Shanghai, 94% of condominium complexes have established homeowners’ associations, a kind of liberal commons, compared with 41% in Shenzhen, and only 12% in Beijing. It is posited in this Article that the authoritarian commons (i.e., the dynamic interactions between the authoritarian state and homeowners’ efforts to create a liberal commons in their neighborhoods) features multiple equilibria that depend on the state capacity and the risks posed by the self-governance movement. A highly capable state facing an intermediate degree of risk can make the institutional reforms necessary to accommodate the grassroots democracy. This research of the authoritarian commons brings the state back to the economic theories of property rights, and brings property, and more specifically, space and territorial control to the study of authoritarianism. It also deepens our understanding of authoritarianism and development.
Technology-Facilitated Domestic Abuse: An under-Recognised Safeguarding Issue?
Authors: Brookfield Kathryn , Fyson Rachel , Goulden Murray 
Published: September 2023

Abstract
Responding to domestic abuse is a key element of social work practice, in both child protection and adult safeguarding. This article sets out the ways in which rapid technological advances are being co-opted by perpetrators of domestic abuse to create new ways of exerting control. After starting with a brief reminder of recent UK legislative changes around domestic abuse, the article outlines the main ways in which technologies, including mobile phones and other Internet-enabled devices, are used by abusers for surveillance, monitoring, tracking and otherwise controlling all aspects of the lives of those they target. The article then moves on to consider how some groups may be at greater risk than others of technology-facilitated domestic abuse (TFDA), including women with insecure immigration status, women with learning disabilities and younger women and girls. Finally, the key social work tool for assessing risk in relation to domestic abuse is critiqued as lacking sufficient focus on TFDA. The article concludes by suggesting what individual social workers and local authorities need to do in order to better respond as TFDA continues to evolve.
Evaluation of indocyanine green tracheobronchial fluorescence (ICG-TBF) via nebulization during minimally invasive esophagectomy
Authors: Thammineedi Subramanyeshwar Rao , Patnaik Sujit Chyau , Nusrath Syed , Naik Vibhavari , Rayani Basanth , Ramalingam Pratap Reddy , Vashist Yogesh , Shukla Srijan 
Published: September 2023

Summary
Surgical manipulation of the tracheobronchial complex is a contributing factor in pulmonary morbidity of esophagectomy. Accurate dissection between membranous trachea and bronchi with esophagus is essential. This study tests the feasibility of delivering indocyanine green (ICG) in an aerosol form to achieve tracheobronchial fluorescence (ICG-TBF). Patients with esophageal and esophagogastric junction carcinoma (N = 37) undergoing minimally invasive esophagectomy (McKeown type) were included. ICG was aerosolized by nebulization in supine position before thoracoscopy. ICG-TBF was observed with real-time fluorescence-enabled camera. Intra- and postoperative complications related to ICG were the primary focus. ICG-TBF was identified in 94.6% (35/37) of patients with median time to fluorescence identification of 15 minutes (range 1–43). There were no airway injuries in the study. The ICU median stay was 2 (range 2–21) days. No intra- or postoperative complications attributable to ICG were observed. Grade 3 or 4 pulmonary complications were seen in total 8.1% patients. No 90-day postoperative mortality was seen. ICG delivered in aerosol form was found to be safe and effective in achieving ICG-TBF. It aided in accurate dissection of esophagus from the tracheobronchial complex. Further studies on effect of ICG-TBF in decreasing pulmonary complications of esophagectomy are needed.
Slavery and charity: Tobias Rustat and the African companies, 1662–94
Authors: Edwards Michael 
Published: September 2023

Abstract
The links between enslavement and charitable giving in the late seventeenth century were deep and have become newly controversial. This article considers Tobias Rustat (1608–94), a royal servant and a long-term investor in the Royal African Company and other trading companies involved in the transatlantic slave trade, who gave prolifically to English educational and religious institutions from the 1660s. It uses previously unstudied archival evidence to analyse Rustat’s involvement in the trade in enslaved people alongside his charitable giving, demonstrating that both activities should be understood through his distinctive social networks. In doing so it argues for an approach to the contested legacies of slavery's connections to philanthropy that foregrounds the social, political and commercial networks of donors.
Functional John and Löwner Conditions for Pairs of Log-Concave Functions
Authors: Ivanov Grigory , Naszódi Márton 
Published: September 2023

Abstract
John’s fundamental theorem characterizing the largest volume ellipsoid contained in a convex body $K$ in $\mathbb{R}^{d}$ has seen several generalizations and extensions. One direction, initiated by V. Milman is to replace ellipsoids by positions (affine images) of another body $L$. Another, more recent direction is to consider logarithmically concave functions on $\mathbb{R}^{d}$ instead of convex bodies: we designate some special, radially symmetric log-concave function $g$ as the analogue of the Euclidean ball, and want to find its largest integral position under the constraint that it is pointwise below some given log-concave function $f$. We follow both directions simultaneously: we consider the functional question, and allow essentially any meaningful function to play the role of $g$ above. Our general theorems jointly extend known results in both directions. The dual problem in the setting of convex bodies asks for the smallest volume ellipsoid, called Löwner’s ellipsoid, containing $K$. We consider the analogous problem for functions: we characterize the solutions of the optimization problem of finding a smallest integral position of some log-concave function $g$ under the constraint that it is pointwise above $f$. It turns out that in the functional setting, the relationship between the John and the Löwner problems is more intricate than it is in the setting of convex bodies.
Simplified Test-to-Treat Strategy for Hepatitis C in Thailand: The Phetchabun Model
Authors: Wasitthankasem Rujipat , Wanlapakorn Nasamon , Pimsing Napaporn , Posuwan Nawarat , Poovorawan Yong 
Published: September 2023

Abstract
The complexity of the hepatitis C virus (HCV) diagnostic workflow and stringent criteria for universal health coverage are significant barriers to achieving HCV elimination in Thailand. A test-to-treat strategy using a rapid diagnostic test (RDT) for screening at point of care, followed by a qualitative nucleic acid testing, is a promising strategy to facilitate population-wide screening for HCV infection and expedite time to treatment. This strategy was evaluated in Phetchabun province, Thailand, where the HCV burden is relatively high. This simplified HCV test-to-treat strategy showed strong potential to be implemented at a national level. Several obstacles to implementation included the stringent criteria for universal health coverage, which prioritizes patients with advanced disease, the continuous policy revision for HCV treatment and care, the relatively low public awareness of HCV infection, and the lagging of government policy prioritization. All of these contribute to the delayed progress in hepatitis elimination.
From Prioritization to Universal Treatment: Successes and Challenges of Hepatitis C Virus Elimination in Italy
Authors: Kondili Loreta A , Craxì Lucia , Nava Felice , Babudieri Sergio , D’Ambrosio Roberta , Marcellusi Andrea , Mennini Francesco Saverio , Valle Sabrina , Russo Pierluigi , Olimpieri Pier Paolo , Andreoni Massimo , Aghemo Alessio 
Published: September 2023

Abstract
Italy has had the highest prevalence of hepatitis C virus (HCV) infection and mortality from HCV-related liver cancer in Europe. Although direct-acting antivirals (DAA) were initially restricted to persons with advanced fibrosis, their use has since been extended to all infected individuals; more than 244 000 persons have been treated to date. HCV liver-related mortality is expected to decline by 75% by 2030, achieving the World Health Organization target for mortality. However, Italy risks failing to meet the overall goal of eliminating HCV infection by 2030. In this light, €71.5 million have been allocated for screening initially specific target populations (persons who inject drugs, prison inmates, and the 1969–1989 birth cohort). Herein, we outline the challenges and recommendations for how to move Italy toward HCV elimination, including expanding screening programs in other populations, increasing awareness through strategic communication, sustaining DAA access, and tailoring care models to meet the needs of key populations.
Voluntary medical male circumcision and educational gradient in relation to HIV infection among sexually active adult men in Eswatini: evidence from the national surveys in 2006–2007 and 2016
Authors: Masango Bongani Zakhele , Ferrandiz-Mont David , Chiao Chi 
Published: September 2023

Abstract

Background
To address knowledge gaps, this study examined social determinants, such as education attainment and HIV prevention, among sexually active men (SAM), with a focus on voluntary medical male circumcision (VMMC).

Methods
Two nationally representative surveys, the Eswatini Demographic and Health Survey 2006 and the Eswatini HIV Incidence Measurement Survey 2016, were used to estimate whether or not VMMC at the individual and community levels contributes to HIV disparities to any meaningful extent. Multilevel logistic regression models further explored the educational gradient in HIV infection for 2006–2007 and 2016 with regard to VMMC among SAM, while adjusting for household poverty, sexual practices and individual characteristics.

Results
Among SAM with tertiary education, HIV prevalence declined from 25.0% in 2006–2007 to 10.5% in 2016. A 51% decrease in HIV prevalence was found to be associated with an increase in VMMC (adjusted odds ratio 0.49; 95% CI 0.40 to 0.60). Compared with SAM with tertiary education, those who had a lower level of education were more likely to have HIV infection and this education gradient effect had become particularly profound in 2016.

Conclusions
VMMC began to be promoted in 2008 in Eswatini and results suggest its effect, along with the education attainment effect, significantly resulted in a meaningful reduction in HIV prevalence among SAM by 2016.
Diversity analysis of hilsa (Tenualosa ilisha) gut microbiota using culture-dependent and culture-independent approaches
Authors: Chakraborty Megha , Acharya Debarun , Dutta Tapan K 
Published: September 2023

Abstract

Aims
The bacterial communities associated with the gastrointestinal (GI) tract are primarily involved in digestion, physiology, and the immune response against pathogenic bacteria for the overall development and health of the host. Hilsa shad (Tenualosa ilisha), a tropical anadromous fish, found predominantly in Bangladesh and India, has so far been poorly investigated for its gut bacterial communities. In this study, both culture-based and metagenomic approaches were used to detect intestinal isolates of hilsa, captured from both freshwater and seawater to investigate the community structure of intestinal microbiota.

Methods and results
Culture-dependent approach allowed to isolate a total of 23 distinct bacterial species comprising 16 Gram-negative, and 7 Gram-positive isolates, where Proteobacteria and Firmicutes were identified as the two most dominant phyla. While metagenomic approach explored a wide range of important GI bacteria, primarily dominated by Proteobacteria, Firmicutes, and Bacteroidetes, with Proteobacteria and Firmicutes, being the most abundant in freshwater and seawater samples, respectively.

Conclusions
A combination of these approaches provided the differential GI-associated bacterial diversity in freshwater and seawater hilsa with the prediction of overall functional potential.

Impact Statement
The study explored the diversity of gut microbiota in hilsa, one of the most preferred nutritious dietary fish, captured from freshwater and seawater habitats, which may encourage to comprehend the composition of the gut microbiome in relation to the migratory behavior and polyunsaturated fatty acid profile of anadromous fish in general.
An efficient plug-and-play regularization method for full waveform inversion
Authors: Fu Hongsun , Yang Lu , Miao Xinyue 
Published: September 2023

Abstract
Nonlinear inverse problems arise in various fields ranging from scientific computation to engineering technology. Inverse problems are intrinsically ill-posed, and effective regularization techniques are necessary. The core of a suitable regularization method is to introduce the prior information of the model via an explicit or implicit regularization function. Plug-and-play regularization is a flexible framework that integrates the most effective denoising priors into an iterative algorithm, and it has recently shown great potential in the solution of linear ill-posed problems. Unlike traditional regularization methods, plug-and-play regularization does not require an explicit regularization function to represent the prior information of the model. In this work, by using total variation, block-matching and three-dimensional filtering, and fast and flexible denoising convolutional neural network denoisers, we propose a novel iterative regularization algorithm based on the alternating direction method of multipliers method. The combination of total variation and block-matching three-dimensional filtering regularizers can take advantage of the sparsity and nonlocal similarity in the solution of inverse problems. When combined with traditional and novel regularizers, deep neural networks have been shown to be an effective regularization approach, which can achieve state-of-the-art performance. Finally, we apply the proposed algorithm to the full waveform inversion problem to show the effectiveness of our method. Numerical results demonstrate that the proposed algorithm outperforms existing inversion methods in terms of quantitative measures and visual perceptual quality.