bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation der betriebsärztlichen und sicherheitstechnischen Betreuung von Kleinstbetrieben in Gesundheitsdienst und Wohlfahrtspflege durch Kompetenzzentren
Authors: Hartung Christofer , Altenburg Christiane , Dulon Madeleine , Schedlbauer Grita , Schmidt Kristina , Steinke Susanne , Nienhaus Albert 
Published: November 2023

Zusammenfassung
Hintergrund
Das Betreuungsmodell „alternative bedarfsorientierte betriebsärztliche und sicherheitstechnische Betreuung durch Kompetenzzentren“ wurde bei der Berufsgenossenschaft für Gesundheitsdienst und Wohlfahrtspflege (BGW) evaluiert. Das Modell sieht die Teilnahme der Unternehmensleitung an einem Online-Kurs als Motivation und an einer Beratung im Betrieb vor. Untersucht wurde, ob sich das Arbeitsschutzniveau nach der Betreuung durch Kompetenzzentren in der Interventionsgruppe (KPZ-Gruppe) verbessert und ob sich Unterschiede in der Umsetzung des Arbeitsschutzes zu anderen Betreuungsmodellen (Vergleichsgruppe, VG) zeigen.

Methoden
Die Stichproben wurden aus den bei der BGW versicherten Unternehmen gezogen. Einschlusskriterien waren maximal 10 Beschäftigte, und dass kein Betreuungsnachweis vorlag (KPZ-Gruppe) bzw. die Regelbetreuung oder das Unternehmermodell (VG) gewählt wurde. Die schriftliche Befragung erfolgte zu Beginn in der KPZ-Gruppe und in allen Gruppen 6 bis 12 Monate nach der jeweiligen Betreuungsmaßnahme. Zur Bewertung des Arbeitsschutzniveaus (niedrig, mittel, hoch) wurde ein Summenscore gebildet (1–6 Punkte).

Ergebnisse
Die KPZ-Gruppe bestand aus 416 und die VG aus 627 Unternehmen. In der KPZ-Gruppe zeigte sich eine signifikante Verbesserung des Arbeitsschutzniveaus: Zu Beginn fand sich bei 71 % ein niedriges Arbeitsschutzniveau und bei 5 % ein hohes. Am Ende erreichten in beiden Gruppen jeweils rund 80 % ein hohes oder mittleres Arbeitsschutzniveau, wobei in der VG signifikant mehr Unternehmen ein hohes Arbeitsschutzniveau erreichten.

Diskussion
Mit der Betreuung durch Kompetenzzentren lässt sich das Arbeitsschutzniveau in Kleinstbetrieben signifikant verbessern. Zwischen den Betreuungsmodellen zeigten sich Unterschiede in den Umsetzungsquoten, deren Ausmaß aber vermutlich durch Selektionsbias überschätzt wurde.
Effects of diagenetic processes on the velocity evolution in carbonate reservoirs
Authors: Khosravi Mohammad Hossein , Emami Niri Mohammad , Saberi Mohammad Reza 
Published: November 2023

AbstractCarbonate rocks are geologically complex due to the diagenetic processes they experience before and after lithification. Diagenetic processes alter their matrix and pore structure leading to the modification in their sonic velocities. Understanding the effect of these diagenetic features on the seismic velocities is crucial to have a reliable image of the subsurface. The dataset used in this study comprises well logs, and core data. Core data were analyzed using different methods (i.e., thin section analysis, X-ray diffraction (XRD) analysis, and scanning electron microscopy (SEM images)) to investigate the presence or absence of different diagenetic processes in each depth interval of the Sarvak formation. In order to minimize porosity effects on velocity variations, we divided all porosity data into five equal porosity classes and performed bar chart analysis in each class. The results indicated that bioturbation (through stiff pore creation and infilling with stiff minerals) and compaction (through pore space volume reduction) increase velocities, but dissolution increased velocities only for the low porosity samples (through moldic and vuggy pores creation) while reduced it in the high porosity samples (through the interconnection of the isolated pores). Furthermore, porosity enhancement (through increasing pore space volume), micritization (through porosity reduction inhibition during compaction), open fracture (through creation of soft pores and cracks), and neomorphism (through the creation of microporosity during compaction) reduce sonic velocities.
Short- and long-term temporal network prediction based on network memory
Authors: Zou Li , Ceria Alberto , Wang Huijuan 
Published: November 2023

AbstractTemporal networks are networks whose topology changes over time. Two nodes in a temporal network are connected at a discrete time step only if they have a contact/interaction at that time. The classic temporal network prediction problem aims to predict the temporal network one time step ahead based on the network observed in the past of a given duration. This problem has been addressed mostly via machine learning algorithms, at the expense of high computational costs and limited interpretation of the underlying mechanisms that form the networks. Hence, we propose to predict the connection of each node pair one step ahead based on the connections of this node pair itself and of node pairs that share a common node with this target node pair in the past. The concrete design of our two prediction models is based on the analysis of the memory property of real-world physical networks, i.e., to what extent two snapshots of a network at different times are similar in topology (or overlap). State-of-the-art prediction methods that allow interpretation are considered as baseline models. In seven real-world physical contact networks, our methods are shown to outperform the baselines in both prediction accuracy and computational complexity. They perform better in networks with stronger memory. Importantly, our models reveal how the connections of different types of node pairs in the past contribute to the connection estimation of a target node pair. Predicting temporal networks like physical contact networks in the long-term future beyond short-term i.e., one step ahead is crucial to forecast and mitigate the spread of epidemics and misinformation on the network. This long-term prediction problem has been seldom explored. Therefore, we propose basic methods that adapt each aforementioned prediction model to address classic short-term network prediction problem for long-term network prediction task. The prediction quality of all adapted models is evaluated via the accuracy in predicting each network snapshot and in reproducing key network properties. The prediction based on one of our models tends to have the highest accuracy and lowest computational complexity.
Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering
Authors: Wu Zhengjiang , Wu Xuyang , Luo Junwei 
Published: November 2023

AbstractIt is a challenge to assemble an enormous amount of metagenome data in metagenomics. Usually, metagenome cluster sequence before assembly accelerates the whole process. In SpaRC, sequences are defined as nodes and clustered by a parallel label propagation algorithm (LPA). To address the randomness of label selection from the parallel LPA during clustering and improve the completeness of metagenome sequence clustering, Spark-based parallel label diffusion and label selection community detection algorithm is proposed in the paper to obtain more accurate clustering results. In this paper, the importance of sequence is defined based on the Jaccard similarity coefficient and its degree. The core sequence is defined as the one with the largest importance in its located community. Three strategies are formulated to reduce the randomness of label selection. Firstly, the core sequence label diffuses over its located cluster and becomes the initial label of other sequences. Those sequences that do not receive an initial label will select the sequence label with the highest importance in the neighbor sequences. Secondly, we perform improved label propagation in order of label frequency and sequence importance to reduce the randomness of label selection. Finally, a merge small communities step is added to increase the completeness of clustered clusters. The experimental results show that our proposed algorithm can effectively reduce the randomness of label selection, improve the purity, completeness, and F-Measure and reduce the runtime of metagenome sequence clustering.
Suitability of marble powders in production of high strength concrete
Authors: Afzal Basha Syed , Shaikh Faiz Uddin Ahmed 
Published: November 2023

AbstractA tremendous amount of non-biodegradable waste is created during mining and processing tasks of layered stones like marble. Over time, this has become a global problem because it harms the environment in multiple ways. Hence, it is necessary to find an alternate way to securely dispose and reuse marble wastes. The construction sector is one of the significant consumers of natural resources for the production of material binders and aggregates. As a result, in recent years, number of researchers have carried out studies in which various kinds of marble waste have been incorporated into concrete with the intention of substituting either cement or aggregates or both. This paper presents the effect of two locally sourced waste marble powders Kadapa marble powder (KMP) and Bethamcherla marble powder (BMP) as partial replacement of cement on mechanical and durability properties of high strength concrete (HSC). Their effect at different replacement levels in HSC is evaluated in compressive, indirect tensile and flexural strengths, elastic modulus, chloride penetration resistance and freeze–thaw durability properties. Micro-structural investigation is also conducted to evaluate their impact on the matrix of HSC containing waste marble powders as additional cementitious materials. Results show that the HSC consisting of KMP and BMP content of 10% and 15%, respectively exhibited higher mechanical and durability properties than the control HSC. Micro-structural investigation also supports this finding. It can be concluded that the use of marble powders as partial replacement of cement does not have any adverse impact on the properties of concrete. The use of KMP and BMP reduces the vast amount of energy required to produce cement, cost and time with reduction in environmental hazards.
Estimating ice discharge of the Antarctic Peninsula using different ice-thickness datasets
Authors: Shahateet Kaian , Navarro Francisco , Seehaus Thorsten , Fürst Johannes J. , Braun Matthias 
Published: November 2023

AbstractThe Antarctic Peninsula Ice Sheet (APIS) has become a significant contributor to sea-level rise over recent decades. Accurately estimating the ice discharge from the outlet glaciers of the APIS is crucial to quantify the mass balance of the Antarctic Peninsula. We here compute the ice discharge from the outlet glaciers of the APIS north of 70${^\circ }$S for the five most widely used ice-thickness reconstructions, using a common surface velocity field and a common set of flux gates, so the differences in ice discharge can be solely attributed to the differences in ice thickness at the flux gates. The total volumetric ice discharge for 2015–2017 ranges within 45–141 km3 a−1, depending on the ice-thickness model, with a mean of 87 ± 44 km3 a−1. The substantial differences between the ice-discharge results, and a multi-model normalized root-mean-squared deviation of 0.91 for the whole data set, reveal large differences and inconsistencies between the ice-thickness models, giving an indication of the large uncertainty in the current ice-discharge estimates for the APIS. This manifests a fundamental problem of the region: the scarcity of appropriate ice-thickness measurements and the difficulty of the current models to reconstruct the ice-thickness distribution in this complex region.
Comprehensive Outcome Assessment and Quality of Life Following Epilepsy Surgery
Authors: Shukla Garima , Nandal Neha , Afsar Mohammed , Gupta Anupama , Agarwal Priya , Singh Mamta Bhushan , Srivastava Achal , Suri Ashish 
Published: November 2023

ABSTRACT:Background:Seizure freedom without deficits is the primary goal for epilepsy surgery. However, patients with medically refractory epilepsy commonly suffer from many co-morbidities related to mood, cognition, and sleep as well as social problems and resultant stigma. While epilepsy surgery literature does describe quality of life (QOL) and neuropsychological outcomes, there is a paucity of information on various common non-seizure outcomes, especially pertaining to mood, sleep, cognition, and social aspects. The objective of this study was to evaluate the role of various non-seizure parameters on post-epilepsy surgery QOL.Methods:Consecutive adult patients operated for refractory epilepsy at least 1 year prior to initiation of this study were included and classified as seizure-free (group 1) or non-seizure-free (group 2). QOL was assessed using the QOLIE-31 instrument; patients with a T score less than 40 were categorized as “poor QOL.” Non-seizure parameters assessed were cognition, mood disturbances, social improvement, social stigma, and sleep disturbances. Categorization into “good” and “poor” outcome subgroups on each item was carried out by dichotomization of scores.Results:Thirty-seven patients (16 F) [mean age 23.5 ± 5.6 years] were evaluated; 26 were seizure-free (group 1). In this group, impaired memory, lower language scores, depression, not having been employed, not receiving education prior to surgery, and experiencing social stigma were factors significantly associated with poor QOL. In group 2, all patients had poor QOL scores.Conclusion:Non-seizure factors related to common epilepsy co-morbidities and social issues are highly prevalent among seizure-free patients reporting poor QOL after epilepsy surgery.
Sociome Data Commons: A scalable and sustainable platform for investigating the full social context and determinants of health
Authors: Tilmon Sandra , Nyenhuis Sharmilee , Solomonides Anthony , Barbarioli Bruno , Bhargava Ankur , Birz Suzi , Bouzein Kathryn , Cardenas Celine , Carlson Bradley , Cohen Ellen , Dillon Emily , Furner Brian , Huang Zhong , Johnson Julie , Krishnan Nivedha , Lazenby Kevin , Li Kaitlyn , Makhni Sonya , Miller Doriane , Ozik Jonathan , Santos Carlos , Sleiman Marc , Solway Julian , Krishnan Sanjay , Volchenboum Samuel 
Published: November 2023

AbstractBackground/Objective:Non-clinical aspects of life, such as social, environmental, behavioral, psychological, and economic factors, what we call the sociome, play significant roles in shaping patient health and health outcomes. This paper introduces the Sociome Data Commons (SDC), a new research platform that enables large-scale data analysis for investigating such factors.Methods:This platform focuses on “hyper-local” data, i.e., at the neighborhood or point level, a geospatial scale of data not adequately considered in existing tools and projects. We enumerate key insights gained regarding data quality standards, data governance, and organizational structure for long-term project sustainability. A pilot use case investigating sociome factors associated with asthma exacerbations in children residing on the South Side of Chicago used machine learning and six SDC datasets.Results:The pilot use case reveals one dominant spatial cluster for asthma exacerbations and important roles of housing conditions and cost, proximity to Superfund pollution sites, urban flooding, violent crime, lack of insurance, and a poverty index.Conclusion:The SDC has been purposefully designed to support and encourage extension of the platform into new data sets as well as the continued development, refinement, and adoption of standards for dataset quality, dataset inclusion, metadata annotation, and data access/governance. The asthma pilot has served as the first driver use case and demonstrates promise for future investigation into the sociome and clinical outcomes. Additional projects will be selected, in part for their ability to exercise and grow the capacity of the SDC to meet its ambitious goals.
Cross-modal distillation for flood extent mapping
Authors: Garg Shubhika , Feinstein Ben , Timnat Shahar , Batchu Vishal , Dror Gideon , Rosenthal Adi Gerzi , Gulshan Varun 
Published: November 2023

Abstract
The increasing intensity and frequency of floods is one of the many consequences of our changing climate. In this work, we explore ML techniques that improve the flood detection module of an operational early flood warning system. Our method exploits an unlabeled dataset of paired multi-spectral and synthetic aperture radar (SAR) imagery to reduce the labeling requirements of a purely supervised learning method. Prior works have used unlabeled data by creating weak labels out of them. However, from our experiments, we noticed that such a model still ends up learning the label mistakes in those weak labels. Motivated by knowledge distillation and semi-supervised learning, we explore the use of a teacher to train a student with the help of a small hand-labeled dataset and a large unlabeled dataset. Unlike the conventional self-distillation setup, we propose a cross-modal distillation framework that transfers supervision from a teacher trained on richer modality (multi-spectral images) to a student model trained on SAR imagery. The trained models are then tested on the Sen1Floods11 dataset. Our model outperforms the Sen1Floods11 baseline model trained on the weak-labeled SAR imagery by an absolute margin of

$ 6.53\% $

intersection over union (IoU) on the test split.
Hamburg Free Traders and the Business of Empire, 1897–1941
Authors: Guenther Jack H. 
Published: November 2023

AbstractRecent debates among historians and in public have concerned the links between German colonialism and imperialism before the First World War and the Nazi regime and its crimes. While a maximalist position on German colonial continuities is unsustainable, the possibility of important imperial legacies stretching into the Nazi period and the argument for a German colonial Sonderweg, or “special path,” are not logically coextensive. This article explores the transformation of Wilhelmine German liberal imperialism by focusing on commercial interests in Hamburg. It argues that empire's strongest legacy was its absence, an absence that created ambivalent possible futures and blurred the line between liberal and illiberal avenues to German power and international order. This blurriness offers an end-run around problematical attempts to narrate Nazism as little more than an extreme expression of global patterns and around untenable notions of German exceptionalism.
A compliant leg design combining pantograph structure with leaf springs
Authors: Wang Boxing , Zhang Kunting , Ma Xueyan , Jia Lihao 
Published: November 2023

AbstractWe proposed a compliant leg configuration that enhances the conventional pantograph design with leaf springs. The following facts characterize the proposed configuration: (1) Due to the use of the pantograph structure, the mass is centralized around the hip joint, reducing the lower leg inertia; (2) Leaf springs are chosen as elastic parts to increase energy efficiency and estimate foot-end contact forces. Compared with coil springs, leaf springs require no guide rails to deploy, and their stiffness can be easily adjusted through shape cutting. Analytical models are introduced to analyze the leg’s stiffness and estimate the contact forces only with the deflections of leaf springs. A one-leg robot based on the proposed design is built, and various experiments are conducted. Experiments regarding the stiffness calibration and the contact forces estimation showed an acceptable agreement with the analytical model. Experiments of dropping demonstrate the feasibility of the leg to perform spring-like behaviors. Experiments of periodic hopping demonstrate the feasibility of using spring deflections to detect touch-down events. For energy efficiency, it is also observed that the elastic leg has a 20% increment concerning the jumping height in the flight phase, compared with the one where leaf springs are replaced with rigid materials.
Shape-controllable inverse kinematics of hyper-redundant robots based on the improved FABRIK method
Authors: Niu Pingan , Han Liang , Huang Yunzhi , Yan Lei 
Published: November 2023

AbstractHyper-redundant robots have good prospects for applications in confined space due to their high flexibility and slim body size. However, the super-redundant structure brings great challenges for its inverse kinematics with shape constraints. Unfortunately, traditional Jacobian pseudo-inverse-based inverse kinematics method and forward and backward reaching inverse kinematics (FABRIK) method are difficult to constrain the arm shape and realize trajectory tracking in confined spaces. To solve this problem, we propose a shape-controllable FABRIK method to satisfy the given path and shape constraints. Firstly, the kinematic model of the hyper-redundant robot is established, and the canonical FABRIK method is introduced. Based on the preliminary works, the single-layer improved FABRIK method is developed to solve the position and pointing inverse kinematics considering path environment and joint angle constraints instead of two-layer geometric iterations. For tracking the desired end roll angles, the polygonal virtual arm is designed. The real arm roll angle is achieved by controlling its winding on the virtual arm. In this way, the shape can be controlled. Finally, we compare the proposed method with other three approaches by simulations. Results show that the proposed method is more efficient and the arm shape is controllable.
The Edicts of the Praetors: Law, Time, and Revolution in Ancient Rome
Authors: Eberle Lisa Pilar 
Published: November 2023

AbstractThis paper revises current understandings of judicial edicts in ancient Rome—the annually published texts in which Roman magistrates set out the formulae according to which they would institute trials during their year in office. While standard accounts see these edicts as the work of legal specialists, heretofore neglected sources for how contemporaries talked about these texts suggest that they were indeed the work of the magistrates that issued them. At times these magistrates formulated new provisions; for the most part they selectively drew on past edicts, not least to accommodate the demands of their friends and clients. These patterns in compositional practice can only be understood within the framework of Roman political culture. More importantly, in their annually changing published form judicial edicts emerge as crucial objects in the construction of time in ancient Rome. Arguably, they constituted a legal practice that could encompass revolution—at least for a year.
An Instrument of Military Power: The Development and Evolution of Japanese Martial Law in Occupied Territories, 1894–1945
Authors: Maddox Kelly 
Published: November 2023

AbstractThe Imperial Japanese Army imposed martial law (gunritsu) in areas occupied during each of the full-scale conflicts it fought between 1894 and 1945. This article traces changes and continuities in the purpose, function, and content of martial law during the First Sino-Japanese War, the Russo-Japanese War, and the Asia-Pacific War to advance our historical knowledge of a much-understudied aspect of Japanese warfare. In so doing, it details the development and evolution of martial law as an instrument of military power showing how regulations were also influenced by and, therefore, tended to reflect the different wartime priorities and macro-level policies of the (military) leadership. It also highlights that the character of martial law remained largely unchanged and reveals that many of the legal practices utilized during the Asia-Pacific War were rooted in earlier conflicts. It ultimately argues, however, that wartime context and immediate military objectives took precedence over any longer-term political ambitions in Asia and, more crucially, over the welfare of civilians under occupation.