bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mid-term results of total hip arthroplasty with anatomical ultra-short cementless stem in patients with developmental dysplasia of the hip Crowe type II
Authors: Hrubina Maros , Necas Libor , Melisik Marian , Cibula Zoltan , Lisy Peter , Cabala Juraj , Holjencik Jozef , Cabala Jozef 
Published: February 2024

AbstractThe aim of this study was to present the mid-term results of ultra-short cementless stem total hip arthroplasty (THA) in patients with Crowe type II developmental dysplasia of the hip. The study consists of 68 patients (75 THAs) with a Proxima stem implanted between 2006 and 2015. The clinical results include Harris Hip Scores. Radiological follow-up reports on stem migration, bony trabecular development and radiolucent lines. Kaplan–Meier survival analysis was performed. The mean age of patients was 48.4 years, with a mean follow-up 114 months. The average Harris Hip Score improved significantly from 45.1 preoperatively to 97.6 at the final evaluation (p < 0.001). Stem migration was observed in five hips (in all of them up to the 6th postoperative month, without any further progression of migration or radiological loosening). Bony trabecular development was detected in modified Gruen zones (1, 2, 4, 6, 7 for Proxima stem): in zone 1 (0%), 2 (49.3.0%), 4 (38.7%), 6 (82.7%), 7 (0%). Radiolucent lines were observed around one cup (DeLee and Charnley zone I) and three stems (none was loose, all three with fibrous stable fixation). Complications were found in three hips (4.0%): intraoperative periprosthetic femoral fracture (threated with cerclage wire) in two hips and squeezing hip in one patient (with perioperative ceramic inlay breakage and exchange). No hip was revised. The implant survival was 100.0% both clinically and radiologically. Observations in the mean follow-up of 114 months show that the results (clinical and radiological) of the Proxima stem in patients with Crowe type II DDH are promising.
Classical ‘Spin’ Filtering with Two Degrees of Freedom and Dissipation
Authors: Varshney Atul , Ghazaryan Areg , Volosniev Artem 
Published: February 2024

AbstractCoupling of orbital motion to a spin degree of freedom gives rise to various transport phenomena in quantum systems that are beyond the standard paradigms of classical physics. Here, we discuss features of spin-orbit dynamics that can be visualized using a classical model with two coupled angular degrees of freedom. Specifically, we demonstrate classical ‘spin’ filtering through our model and show that the interplay between angular degrees of freedom and dissipation can lead to asymmetric ‘spin’ transport.
Combined light and electron microscopy (CLEM) to quantify methamphetamine-induced alpha-synuclein-related pathology
Authors: Ferrucci Michela , Lenzi Paola , Lazzeri Gloria , Busceti Carla L. , Frati Alessandro , Puglisi-Allegra Stefano , Fornai Francesco 
Published: February 2024

AbstractMethamphetamine (METH) produces a cytopathology, which is rather specific within catecholamine neurons both in vitro and ex vivo, in animal models and chronic METH abusers. This led some authors to postulate a sort of parallelism between METH cytopathology and cell damage in Parkinson’s disease (PD). In fact, METH increases and aggregates alpha-syn proto-fibrils along with producing spreading of alpha-syn. Although alpha-syn is considered to be the major component of aggregates and inclusions developing within diseased catecholamine neurons including classic Lewy body (LB), at present, no study provided a quantitative assessment of this protein in situ, neither following METH nor in LB occurring in PD. Similarly, no study addressed the quantitative comparison between occurrence of alpha-syn and other key proteins and no investigation measured the protein compared with non-protein structure within catecholamine cytopathology. Therefore, the present study addresses these issues using an oversimplified model consisting of a catecholamine cell line where the novel approach of combined light and electron microscopy (CLEM) was used measuring the amount of alpha-syn, which is lower compared with p62 or poly-ubiquitin within pathological cell domains. The scenario provided by electron microscopy reveals unexpected findings, which are similar to those recently described in the pathology of PD featuring packing of autophagosome-like vesicles and key proteins shuttling autophagy substrates. Remarkably, small seed-like areas, densely packed with p62 molecules attached to poly-ubiquitin within wide vesicular domains occurred. The present data shed new light about quantitative morphometry of catecholamine cell damage in PD and within the addicted brain.
Rockfall source identification and trajectory analysis from UAV-based data in volcano-tectonic areas: a case study from Ischia Island, Southern Italy
Authors: Massaro L. , Forte G. , De Falco M. , Rauseo F. , Santo A. 
Published: February 2024

AbstractIschia (Southern Italy) is a volcanic island of the Phlegrean Volcanic District that was historically affected by multiple geological hazards, including floodings, landslides, rockfalls, and earthquakes. In this study, rockfall stability is analysed with an integrated approach aimed at investigating the rockfall source, the propagation, and the deposition areas. The case study is represented by two outcrops over a 400-m-wide cliff made of Green Tuff and located on the western area of Mt. Epomeo. They are respectively located at 280 and 420 m a.s.l., just uphill the village of Frassitelli, Forio d’Ischia, which is an area of high residential, tourist, and agricultural importance. We analysed the fracture systems of the tuff cliff to compute the kinematic analysis of the potential failure mechanisms and to perform numerical simulations of rockfall scenarios. Successively, numerical simulations of rockfall scenarios were computed based on the acquired structural information. This allowed us to identify the most hazardous scenarios based on the rock trajectories and the percentage of rock blocks affecting the urban area. The influence of the rock shape and volume on the rockfall trajectories was analysed. In the most likely scenarios, we observed that 15–25% of the rock blocks bypass the geomorphological barriers and reach the urban area, with kinetic energy values spanning between 102 and 104 kJ. Such detailed rockfall hazard analysis allowed the definition of the mitigation interventions necessary for the protection of the nearby residential area.
Role of zinc in health and disease
Authors: Stiles Lucy I. , Ferrao Kevin , Mehta Kosha J. 
Published: February 2024

AbstractThis review provides a concise overview of the cellular and clinical aspects of the role of zinc, an essential micronutrient, in human physiology and discusses zinc-related pathological states. Zinc cannot be stored in significant amounts, so regular dietary intake is essential. ZIP4 and/or ZnT5B transport dietary zinc ions from the duodenum into the enterocyte, ZnT1 transports zinc ions from the enterocyte into the circulation, and ZnT5B (bidirectional zinc transporter) facilitates endogenous zinc secretion into the intestinal lumen. Putative promoters of zinc absorption that increase its bioavailability include amino acids released from protein digestion and citrate, whereas dietary phytates, casein and calcium can reduce zinc bioavailability. In circulation, 70% of zinc is bound to albumin, and the majority in the body is found in skeletal muscle and bone. Zinc excretion is via faeces (predominantly), urine, sweat, menstrual flow and semen. Excessive zinc intake can inhibit the absorption of copper and iron, leading to copper deficiency and anaemia, respectively. Zinc toxicity can adversely affect the lipid profile and immune system, and its treatment depends on the mode of zinc acquisition. Acquired zinc deficiency usually presents later in life alongside risk factors like malabsorption syndromes, but medications like diuretics and angiotensin-receptor blockers can also cause zinc deficiency. Inherited zinc deficiency condition acrodermatitis enteropathica, which occurs due to mutation in the SLC39A4 gene (encoding ZIP4), presents from birth. Treatment involves zinc supplementation via zinc gluconate, zinc sulphate or zinc chloride. Notably, oral zinc supplementation may decrease the absorption of drugs like ciprofloxacin, doxycycline and risedronate.
Evaluation of tooth color change after a bleaching process with different lasers
Authors: Möbius Danny , Braun Andreas , Franzen Rene 
Published: February 2024

AbstractThe aim of this in vitro study was to evaluate the efficiency of diode laser-activated bleaching systems for color change of teeth. 75 extracted teeth were studied in five different bleaching protocols. Group 1: diode laser 445 nm, 320 µm fiber, 0.5W, continuous wave mode, dose 53 J/cm2. Group 2: diode laser 970 nm, 320 µm fiber, 1W, continuous wave mode, dose 106.10 J/cm2. Group 3: diode laser 940 nm, bleaching handpiece, 7W, continuous wave mode, dose 105 J/cm2. Group 4: diode laser 940 nm, 300 µm fiber, 2W, continuous wave mode, dose 47.16 J/cm2. Group 5: bleaching process without laser activation. In groups 1, 2 and 5, teeth were bleached with Perfect Bleach Office + and in groups 3 and 4, LaserWhite20 bleaching gel was used. Tooth color was determined immediately after the bleaching process using a spectrophotometer. Color change data on the CIE L * a * b* system was analyzed statistically by the one-way ANOVA and Tukey’s HSD test. All bleaching procedures resulted in a change of color. All laser groups (∆E * ab > 3) have statistically larger ∆E * ab values than the control group (∆E * ab = 0.73) (p < 0.05). The diode laser 445 nm has the largest ∆E * ab value (∆E * ab = 4.65) and results in a significantly higher color difference than all other groups. In terms of color score difference in VITA Shades, all laser-activated groups lead to a lightening effect while the control group leads to only a slight lightening effect. The diode laser 445 nm produced the greatest color difference. Laser-activated bleaching is more effective than conventional bleaching without light activation. The diode laser 445 nm performs best in this in vitro study.
Fast online spectral-spatial pulse design for subject-specific fat saturation in cervical spine and foot imaging at 1.5 T
Authors: Eisen Christian Karl , Liebig Patrick , Herrler Jürgen , Ritter Dieter , Lévy Simon , Uder Michael , Nagel Armin Michael , Grodzki David 
Published: February 2024

Abstract
Objective
To compensate subject-specific field inhomogeneities and enhance fat pre-saturation with a fast online individual spectral-spatial (SPSP) single-channel pulse design.

Methods
The RF shape is calculated online using subject-specific field maps and a predefined excitation k-space trajectory. Calculation acceleration options are explored to increase clinical viability. Four optimization configurations are compared to a standard Gaussian spectral selective pre-saturation pulse and to a Dixon acquisition using phantom and volunteer (N = 5) data at 1.5 T with a turbo spin echo (TSE) sequence. Measurements and simulations are conducted across various body parts and image orientations.

Results
Phantom measurements demonstrate up to a 3.5-fold reduction in residual fat signal compared to Gaussian fat saturation. In vivo evaluations show improvements up to sixfold for dorsal subcutaneous fat in sagittal cervical spine acquisitions. The versatility of the tailored trajectory is confirmed through sagittal foot/ankle, coronal, and transversal cervical spine experiments. Additional measurements indicate that excitation field (B1) information can be disregarded at 1.5 T. Acceleration methods reduce computation time to a few seconds.

Discussion
An individual pulse design that primarily compensates for main field (B0) inhomogeneities in fat pre-saturation is successfully implemented within an online "push-button" workflow. Both fat saturation homogeneity and the level of suppression are improved.
Influence of the Textile Reinforcement on the Joint Formation of Pin-Joined Composite/Metal Parts
Authors: Popp Julian , Drummer Dietmar 
Published: February 2024

AbstractHybrid components consisting of continuous fiber reinforced thermoplastic (CFRT) and steel components exhibit promising potential in advanced lightweight construction. However, the joining operation presents a significant challenge due to the materials’ distinct physical and chemical properties. This paper studies a joining method in which dual pin arrays protruding from the surface of the metal component are inserted into the locally heated CFRT component to create a form-fitting joint. The primary objective is to scrutinize the influence of various CFRT materials on joint formation and quantify the resulting properties. The fiber type (glass and carbon) and fiber architecture (unidirectional and bidirectional reinforcement) are varied. All materials could successfully be joined via the direct pin pressing process, while depending on the CFRT material, distinct characteristic fiber morphologies could be identified. Bidirectionally reinforced carbon fiber reinforced samples showed the highest overall strength, while unidirectionally glass fiber reinforced samples showed the highest energy absorption and second highest ultimate strength.
Machine learning methods for service placement: a systematic review
Authors: Keshavarz Haddadha Parviz , Rezvani Mohammad Hossein , MollaMotalebi Mahdi , Shankar Achyut 
Published: February 2024

AbstractWith the growth of real-time and latency-sensitive applications in the Internet of Everything (IoE), service placement cannot rely on cloud computing alone. In response to this need, several computing paradigms, such as Mobile Edge Computing (MEC), Ultra-dense Edge Computing (UDEC), and Fog Computing (FC), have emerged. These paradigms aim to bring computing resources closer to the end user, reducing delay and wasted backhaul bandwidth. One of the major challenges of these new paradigms is the limitation of edge resources and the dependencies between different service parts. Some solutions, such as microservice architecture, allow different parts of an application to be processed simultaneously. However, due to the ever-increasing number of devices and incoming tasks, the problem of service placement cannot be solved today by relying on rule-based deterministic solutions. In such a dynamic and complex environment, many factors can influence the solution. Optimization and Machine Learning (ML) are two well-known tools that have been used most for service placement. Both methods typically use a cost function. Optimization is usually a way to define the difference between the predicted and actual value, while ML aims to minimize the cost function. In simpler terms, ML aims to minimize the gap between prediction and reality based on historical data. Instead of relying on explicit rules, ML uses prediction based on historical data. Due to the NP-hard nature of the service placement problem, classical optimization methods are not sufficient. Instead, metaheuristic and heuristic methods are widely used. In addition, the ever-changing big data in IoE environments requires the use of specific ML methods. In this systematic review, we present a taxonomy of ML methods for the service placement problem. Our findings show that 96% of applications use a distributed microservice architecture. Also, 51% of the studies are based on on-demand resource estimation methods and 81% are multi-objective. This article also outlines open questions and future research trends. Our literature review shows that one of the most important trends in ML is reinforcement learning, with a 56% share of research.
Escaping chronic poverty: long-term impacts of an agricultural development program
Authors: Nienkerke Inga Mareike , Sawant Yogesh , Jörin Jonas , Holla Anish , Patt Anthony 
Published: February 2024

Abstract
There is a need for groundbreaking initiatives to come to the rescue of the world’s rain-fed regions, especially in the face of the current climate and food crises and the associated reversal of previous advances in poverty reduction. However, there is little evidence of successful programs, which can inform the development of proactive policies to meet these urgent challenges. Can sustainable agricultural intensification enable marginalized, smallholder farmers to break out of chronic poverty? In this study, we scrutinize the Wadi concept, an integrated farming system that includes water resource development, soil conservation, cultivation of fruit trees, and intercropping on degraded land. We use a mixed-methods approach that involves surveying 1860 households, which were randomly sampled from a population of 188,231 participants across four Indian states, encompassing a variety of geographical regions. This is the first investigation into the effects of integrated farming systems on livelihoods on such a large scale and spanning 23 years. We compare the household participants of the program with the non-participants and run a linear regression analysis, ceteris paribus, comparing farmers who established integrated farming systems at different points in time over the period 1990–2017. Significant progress in several socioeconomic factors can be observed, such as higher incomes (the annual income of a typical participant has increased from INR 30,000 to 100,000 or even more), diversified income sources, positive life changes, higher life satisfaction and better perspectives for children, as well as environmental benefits. The Wadi program’s effectiveness in providing sustainable development pathways implies benefits to be gained from scaling it up. By thoroughly assessing its potential to help farmers escape chronic poverty and build resilience, this study provides evidence of the Wadi concept’s success that can enrich the science-policy dialog on development programs.
Forest carbon tax and reward: regulating greenhouse gas emissions from industrial logging and deforestation in the US
Authors: Talberth John , Carlson Ella 
Published: February 2024

AbstractIndustrial logging activities associated with land development, agricultural expansion, and tree plantations generate significant greenhouse gas emissions and may undermine climate resilience by making the land more vulnerable to heat waves, water shortages, wildfires, flooding, and other stressors. This paper investigates whether a market-based mechanism—a forest carbon tax and reward program—could play a role in mitigating these climate impacts while advancing the Glasgow Leaders Declaration on Forests and Land Use, which seeks to end deforestation and forest degradation by 2030. We do this by describing key differences between the natural and industrial forest carbon cycle, identifying design features of a program that mimics existing carbon tax mechanisms, demonstrating how that program could be implemented using four US states as an example and completing a cash flow analysis to gauge potential effects on forestland investors. Across the states, we estimate the range of taxable GHG emissions to be 22–57 Mt CO2-e yr−1, emissions factors of 0.91–2.31 Mg C m−3, and potential tax revenues of $56 to $357 million USD yr−1. A model of net present value and internal rate of return for a representative forestland investor suggests that while the tax may reduce profitability somewhat (~ 30%) for a 100,000-acre (40,486 ha) acquisition, it would still generate an attractive rate of return (> 7%), especially for patient capital investors. We conclude that a forest carbon tax program is feasible with existing data available to US state agencies and could be a significant source of funding to promote climate smart forest practices without major disruptions of timber supply or forestland investments.
Parameter synthesis for Markov models: covering the parameter space
Authors: Junges Sebastian , Ábrahám Erika , Hensel Christian , Jansen Nils , Katoen Joost-Pieter , Quatmann Tim , Volk Matthias 
Published: February 2024

AbstractMarkov chain analysis is a key technique in formal verification. A practical obstacle is that all probabilities in Markov models need to be known. However, system quantities such as failure rates or packet loss ratios, etc. are often not—or only partially—known. This motivates considering parametric models with transitions labeled with functions over parameters. Whereas traditional Markov chain analysis relies on a single, fixed set of probabilities, analysing parametric Markov models focuses on synthesising parameter values that establish a given safety or performance specification $$\varphi $$
φ
. Examples are: what component failure rates ensure the probability of a system breakdown to be below 0.00000001?, or which failure rates maximise the performance, for instance the throughput, of the system? This paper presents various analysis algorithms for parametric discrete-time Markov chains and Markov decision processes. We focus on three problems: (a) do all parameter values within a given region satisfy $$\varphi $$
φ
?, (b) which regions satisfy $$\varphi $$
φ
and which ones do not?, and (c) an approximate version of (b) focusing on covering a large fraction of all possible parameter values. We give a detailed account of the various algorithms, present a software tool realising these techniques, and report on an extensive experimental evaluation on benchmarks that span a wide range of applications.
Epiretinal membrane development after Ex-Press glaucoma filtration device implant: 2-year results of a case control study
Authors: Sartini Francesco , Menchini Martina , Palma Alessandro , Casini Giamberto , Figus Michele 
Published: February 2024

Abstract
Background
The most common retinal complications after glaucoma surgery are choroidal detachment, hypotony maculopathy, malignant glaucoma, vitreous hemorrhage, endophthalmitis and retinal detachment. However, if glaucoma surgery is a risk factor for the ERM development needs to be clarified. This study aims to assess the incidence of epiretinal membrane (ERM) in 2 years of follow-up in patients with primary open-angle glaucoma (POAG) treated with Ex-Press shunt implant.

Methods
A prospective, consecutive, single-center, case–control study. We enrolled patients affected by POAG and scheduled for Ex-Press device implant with or without concomitant cataract surgery. The control group was the contralateral eyes which continues anti-glaucomatous eyedrops. Complete ophthalmologic evaluation and spectral-domain optical coherence tomography were performed before surgery, at 6 months and 24 months of follow-up.

Results
Eighty-two eyes of 41 consecutive patients, 18 males and 23 females with a mean age of 70, 29 ± 8,45, were analyzed at 24 months. 39.1% of eyes developed ERM: 29.3% were cellophane macular reflex (CMR) and 9.8% were pre-macular fibrosis (PMF). In the control group, 19.5% of eyes developed ERM: 17.1% were CMR and 2.4% were PMF. No statistically significant difference was reported (p = 0.121) between treated and control group. ERM development did not affect significantly the central foveal thickness (260.13 ± 35.01 μm at baseline, 265.03 ± 34.90 μm at 6 months and 275.18 ± 33.31 μm at 24 months) and macular volume (7.75 ± 0.43 mm3 at baseline, 7.77 ± 0.48 mm3 at 6 months and 7.77 ± 0.46 mm3 at 24 months), remained comparable to reported average measures in healthy individuals during the follow-up. Concomitant cataract surgery did not increase the ERM incidence.

Conclusion
Ex-Press implant may increase the ERM incidence regardless concomitant cataract surgery, accelerating or inducing a posterior vitreous detachment, such as other ocular surgical procedure. Nevertheless, the vast majority of ERM are CMR, not affecting the macular profile.