bluuebunny/crossref_metadata_2025_split huggingface dataset:
Senataxin helicase, the causal gene defect in ALS4, is a significant modifier of C9orf72 ALS G4C2 and arginine-containing dipeptide repeat toxicity
Authors: Bennett Craig L. , Dastidar Somasish , Arnold Frederick J. , McKinstry Spencer U. , Stockford Cameron , Freibaum Brian D. , Sopher Bryce L. , Wu Meilin , Seidner Glen , Joiner William , Taylor J. Paul , West Ryan J. H. , La Spada Albert R. 
Published: October 2023

AbstractIdentifying genetic modifiers of familial amyotrophic lateral sclerosis (ALS) may reveal targets for therapeutic modulation with potential application to sporadic ALS. GGGGCC (G4C2) repeat expansions in the C9orf72 gene underlie the most common form of familial ALS, and generate toxic arginine-containing dipeptide repeats (DPRs), which interfere with membraneless organelles, such as the nucleolus. Here we considered senataxin (SETX), the genetic cause of ALS4, as a modifier of C9orf72 ALS, because SETX is a nuclear helicase that may regulate RNA–protein interactions involved in ALS dysfunction. After documenting that decreased SETX expression enhances arginine-containing DPR toxicity and C9orf72 repeat expansion toxicity in HEK293 cells and primary neurons, we generated SETX fly lines and evaluated the effect of SETX in flies expressing either (G4C2)58 repeats or glycine-arginine-50 [GR(50)] DPRs. We observed dramatic suppression of disease phenotypes in (G4C2)58 and GR(50) Drosophila models, and detected a striking relocalization of GR(50) out of the nucleolus in flies co-expressing SETX. Next-generation GR(1000) fly models, that show age-related motor deficits in climbing and movement assays, were similarly rescued with SETX co-expression. We noted that the physical interaction between SETX and arginine-containing DPRs is partially RNA-dependent. Finally, we directly assessed the nucleolus in cells expressing GR-DPRs, confirmed reduced mobility of proteins trafficking to the nucleolus upon GR-DPR expression, and found that SETX dosage modulated nucleolus liquidity in GR-DPR-expressing cells and motor neurons. These findings reveal a hitherto unknown connection between SETX function and cellular processes contributing to neuron demise in the most common form of familial ALS.
Operational fuel model map for Atlantic landscapes using ALS and Sentinel-2 images
Authors: Solares-Canal Ana , Alonso Laura , Rincón Thais , Picos Juan , Molina-Terrén Domingo M. , Becerra Carmen , Armesto Julia 
Published: October 2023

Abstract
Background
In the new era of large, high-intensity wildfire events, new fire prevention and extinction strategies are emerging. Software that simulates fire behavior can play a leading role. In order for these simulators to provide reliable results, updated fuel model maps are required. Previous studies have shown that remote sensing is a useful tool for obtaining information about vegetation structures and types. However, remote sensing technologies have not been evaluated for operational purposes in Atlantic environments. In this study, we describe a methodology based on remote sensing data (Sentinel-2 images and aerial point clouds) to obtain updated fuel model maps of an Atlantic area. These maps could be used directly in wildfire simulation software.

Results
An automated methodology has been developed that allows for the efficient identification and mapping of fuel models in an Atlantic environment. It mainly consists of processing remote sensing data using supervised classifications to obtain a map with the geographical distribution of the species in the study area and maps with the geographical distribution of the structural characteristics of the forest covers. The relationships between the vegetation species and structures in the study area and the Rothermel fuel models were identified. These relationships enabled the generation of the final fuel model map by combining the different previously obtained maps. The resulting map provides essential information about the geographical distribution of fuels; 32.92% of the study area corresponds to models 4 and 7, which are the two models that tend to develop more dangerous behaviors. The accuracy of the final map is evaluated through validation of the maps that are used to obtain it. The user and producer accuracy ranged between 70 and 100%.

Conclusion
This paper describes an automated methodology for obtaining updated fuel model maps in Atlantic landscapes using remote sensing data. These maps are crucial in wildfire simulation, which supports the modern wildfire suppression and prevention strategies. Sentinel-2 is a global open access source, and LiDAR is an extensively used technology, meaning that the approach proposed in this study represents a step forward in the efficient transformation of remote sensing data into operational tools for wildfire prevention.
Fire frequency effects on plant community characteristics in the Great Basin and Mojave deserts of North America
Authors: Stanton Rebekah L. , Nusink Baylie C. , Cass Kristina L. , Bishop Tara B. B. , Woodbury Brianna M. , Armond David N. , St. Clair Samuel B. 
Published: October 2023

Abstract
Background
Wildfire regimes are changing dramatically across North American deserts with the spread of invasive grasses. Invasive grass fire cycles in historically fire-resistant deserts are resulting in larger and more frequent wildfire. This study experimentally compared how single and repeat fires influence invasive grass-dominated plant fuels in the Great Basin, a semi-arid, cold desert, and the Mojave, a hyper-arid desert. Both study sites had identical study designs. In the summer of 2011, we experimentally burned half of each experimental block, the other half remaining as an unburned control. Half of the burned plots were reburned 5 years later to simulate increasing burn frequency. We estimated non-woody plant biomass, cover, and density in plots from 2017 to 2020.

Results
Biomass did not vary between sites, but there was higher plant cover and lower plant density at the Mojave site than at the Great Basin site. Plant biomass, density, and cover varied significantly across the years, with stronger annual fluctuations in the Great Basin. At both desert sites, fire increased plant density and biomass but had no effect on the cover. The effect of fire on plant cover varied significantly between years for both deserts but was greater in the Great Basin than in the Mojave site. Repeat fires did not amplify initial fire effects.

Conclusions
The results suggest that in general annual fluctuations in fine fuel production and fluctuations in response to fire were more apparent at the Great Basin site than at the Mojave site, with no immediate compounding effect of repeat fires at either site.
The role of oestrogen therapy in reducing risk of Alzheimer's disease: systematic review
Authors: Wong Gary R. M. , Lee Elina J. A. , Liaw Qian Yan , Rajaram Hrishikesh 
Published: October 2023

Background
Studies have shown a relationship between oestrogen and Alzheimer's disease. However, there is neither clear nor strong evidence on the use of oestrogen-only therapy in reducing the risk of Alzheimer's disease.

Aims
To assess the effects of oestrogen-only therapy on reducing the risk of Alzheimer's disease.

Method
Inclusion criteria was determined with the PICO framework. Outcome was cognitive function measured by neuropsychological tests and strict protocols. Exclusion criteria included non-Alzheimer's dementia, progesterone-only therapy and pre-menopausal women. Searches were conducted in nine electronic healthcare databases, last searched in July 2022. Quality assessments conducted on randomised controlled trials (RCTs) were performed with the GRADE assessment, and cohort studies and case–control studies were assessed with the Newcastle–Ottawa Scale. Extracted data were used to analyse participants, interventions and outcomes.

Results
Twenty-four studies satisfied the search criteria (four RCTs, nine cohort studies, 11 case–control studies). Fifteen studies showed positive associations for oestrogen-only therapy reducing the risk of Alzheimer's disease, and the remaining nine found no evidence of association.

Conclusions
Fifteen studies showed that oestrogen-only therapy effectively reduced the risk of Alzheimer's disease, whereas nine showed no correlation. Studies also investigated oestrogen-related variables such as length of oestrogen exposure, being an apolipoprotein E ε4 carrier and concomitant use of non-steroidal anti-inflammatory drugs, and their role in neuroprotection. This review was limited by the limited ranges of duration of oestrogen treatment and type of oestrogen-only therapy used. In conclusion, oestrogen-only therapy has potential for use in preventing Alzheimer's disease, although current evidence is inconclusive and requires further study.
Efficient Method for the Preparation of Ozonides Under Dry Conditions
Authors: El-kholany Mohamed R , Kishimoto Nana , Tanaka Kenta , Takamura Hiroyoshi , Kadota Isao 
Published: October 2023

Abstract
An efficient method for the preparation of ozonides via the reaction of alkenes and ozone under dry conditions is described. The influx of a pre-dried ozone stream into a dichloromethane solution of the olefinic substrates in the presence of molecular sieve 4Å afforded the corresponding ozonides in good to high yields. The reaction in the absence of a molecular sieve gave poor results. The structure of the ozonide was unambiguously confirmed by XRD analysis.
Patellar Tendon Load Progression during Rehabilitation Exercises: Implications for the Treatment of Patellar Tendon Injuries
Authors: SCATTONE SILVA RODRIGO , SONG KE , HULLFISH TODD J. , SPRAGUE ANDREW , SILBERNAGEL KARIN GRÄVARE , BAXTER JOSH R. 
Published: October 2023

ABSTRACT

Purpose
This study aimed to evaluate patellar tendon loading profiles (loading index, based on loading peak, loading impulse, and loading rate) of rehabilitation exercises to develop clinical guidelines to incrementally increase the rate and magnitude of patellar tendon loading during rehabilitation.

Methods
Twenty healthy adults (10 females/10 males, 25.9 ± 5.7 yr) performed 35 rehabilitation exercises, including different variations of squats, lunge, jumps, hops, landings, running, and sports specific tasks. Kinematic and kinetic data were collected, and a patellar tendon loading index was determined for each exercise using a weighted sum of loading peak, loading rate, and cumulative loading impulse. Then the exercises were ranked, according to the loading index, into tier 1 (loading index ≤0.33), tier 2 (0.33 < loading index <0.66), and tier 3 (loading index ≥0.66).

Results
The single-leg decline squat showed the highest loading index (0.747). Other tier 3 exercises included single-leg forward hop (0.666), single-leg countermovement jump (0.711), and running cut (0.725). The Spanish squat was categorized as a tier 2 exercise (0.563), as was running (0.612), double-leg countermovement jump (0.610), single-leg drop vertical jump (0.599), single-leg full squat (0.580), double-leg drop vertical jump (0.563), lunge (0.471), double-leg full squat (0.428), single-leg 60° squat (0.411), and Bulgarian squat (0.406). Tier 1 exercises included 20 cm step up (0.187), 20 cm step down (0.288), 30 cm step up (0.321), and double-leg 60° squat (0.224).

Conclusions
Three patellar tendon loading tiers were established based on a combination of loading peak, loading impulse, and loading rate. Clinicians may use these loading tiers as a guide to progressively increase patellar tendon loading during the rehabilitation of patients with patellar tendon disorders and after anterior cruciate ligament reconstruction using the bone–patellar tendon–bone graft.
Effect of fluticasone-impregnated throat packs on postoperative sore throat (POST) and hoarseness of voice: A randomized clinical trial
Authors: Talapatra Arjun , Mathew Shaji , Kanakalakshmi Sushma Thimmaiah , Rani Rama 
Published: October 2023

Background: Post-operative sore throat (POST) is one of the most common complaints post-endotracheal intubation and can be decreased through various interventions. This study aimed to determine the effect of fluticasone-impregnated versus saline throat packs on the occurrence and severity of POST and voice hoarseness. Methods: This prospective, randomized, double-blinded trial was conducted on patients undergoing nasosinus surgeries at Kasturba Medical College and Hospital. Patients were randomized to groups based on a computer-generated table of random numbers post-intubation after placing a definite length of oropharyngeal packs into group F (fluticasone) who received four puffs of fluticasone furoate-soaked throat packs and group C (control) wherein normal saline-soaked throat packs were used. Determining the incidence of POST and voice hoarseness was the primary outcome; severity of POST and voice hoarseness, patient satisfaction scores at 24 hours post-surgery and adverse events were secondary outcomes. Results: Overall, 86 patients were randomized and 43 patients were included in each group. Incidence of POST (%) and voice hoarseness (%) were 55.8, 55.6, 55.8, 53.4 and 30.2, 28, 28, 28 in group C. Incidence of POST (%) and voice hoarseness (%) were 37.2, 37.2, 37.2, 34.8 and 14, 14, 14,14 in group F at 1, 2, 6 and 24 hours, respectively, however, the p values were not found to be significant at any time interval. There was no significant difference in terms of severity of POST and voice hoarseness, patient satisfaction scores between the groups and there were no reported adverse events. Conclusions: In patients undergoing nasosinus surgery under general anesthesia with endotracheal intubation, fluticasone furoate-impregnated throat packs failed to show any significant reduction in the incidence and severity of POST as well as hoarseness of voice, and even though it was not statistically significant, the fluticasone impregnated group had higher patient satisfaction scores. Registration: CTRI (CTRI/2020/09/027946; 22/09/2020).
The Editor and the Algorithm: Recommendation Technology in Online News
Authors: Peukert Christian , Sen Ananya , Claussen Jörg 
Published: October 2023

We run a field experiment to study the relative performance of human curation and automated personalized recommendation technology in the context of online news. We build a simple theoretical model that captures the relative efficacy of personalized algorithmic recommendations and curation based on human expertise. We highlight a critical tension between detailed, yet potentially narrow, information available to the algorithm versus broad (often private), but not scalable, information available to the human editor. Empirically, we show that, on average, algorithmic recommendations can outperform human curation with respect to clicks, but there is significant heterogeneity in this treatment effect. The human editor performs relatively better in the absence of sufficient personal data and when there is greater variation in preferences. These results suggest that reverting to human curation can mitigate the drawbacks of personalized algorithmic recommendations. Our computations show that the optimal combination of human curation and automated recommendation technology can lead to an increase of up to 13% in clicks. In absolute terms, we provide thresholds for when the estimated gains are larger than our estimate of implementation costs. This paper was accepted by Chris Forman, information systems. Funding: C. Peukert acknowledges funding from the Swiss National Science Foundation [Grant No. 100013_197807]. Supplemental Material: The e-companion and data files are available at https://doi.org/10.1287/mnsc.2023.4954 .
Popularity Bias in Online Dating Platforms: Theory and Empirical Evidence
Authors: Celdir Musa Eren , Cho Soo-Haeng , Hwang Elina H. 
Published: October 2023

Problem definition: Generating recommendations of compatible dating partners is a challenging task for online dating platforms because uncovering users’ idiosyncratic preferences is difficult. Thus, platforms tend to recommend popular users to others more frequently than unpopular users. This paper studies such popularity bias in an online dating platform’s recommendations and its consequences for users’ likelihood of finding dating partners. Methodology/results: Motivated by the empirical evidence that a user’s chance of being recommended by the platform’s algorithm increases significantly with the user’s popularity, we study an online dating platform’s incentive that generates popularity bias by modeling the platform’s recommendations and users’ subsequent interactions in a three-stage matching game. Our analysis shows that the recommendations that maximize the platform’s revenue and those that maximize the number of successful matches between users are not necessarily at odds, even though the former leads to a higher bias against unpopular users. Unbiased recommendations result in significantly lower revenue for the platform and fewer matches when users’ implicit cost of evaluating incoming messages is low. Popular users help the platform generate more revenue and a higher number of successful matches as long as these popular users do not become “out of reach.” We validate our theoretical results by running simulations of the platform based on a machine learning–based predictive model that estimates users’ behavior. Managerial implications: Our result indicates that an online dating platform can increase revenue and users’ chances of finding dating partners simultaneously with a certain degree of bias against unpopular users. Online dating platforms can use our theoretical results to understand user behavior and our predictive model to improve their recommendation systems (e.g., by selecting a set of users leading to the highest probabilities of matching or other revenue-generating interactions). Supplemental Material: The online appendices are available at https://doi.org/10.1287/msom.2022.0132 .
Technical Note—Improved Sample-Complexity Bounds in Stochastic Optimization
Authors: Baveja Alok , Chavan Amit , Nikiforov Andrei , Srinivasan Aravind , Xu Pan 
Published: October 2023

Faster Methods to Handle Optimization Problems That Display UncertaintyIn the paper “Improved Sample-Complexity Bounds in Stochastic Optimization,” the authors Alok Baveja, Amit Chavan, Andrei Nikiforov, Aravind Srinivasan, and Pan Xu consider a classic approach to modeling uncertainty in optimization problems—stochastic optimization. A general way to model such uncertainty is to assume access to a probability distribution from which the different possible scenarios of an optimization problem can be sampled; a powerful way to work with such access is to sample explicit scenarios a fixed number of times and to then “average over” all these explicit deterministic scenarios. The key question then becomes as follows. How many such scenarios should be sampled? By a careful analysis, this work shows that the number of samples needed is much less than known before, thus speeding up several algorithms for stochastic-optimization problems.
On the Oscillation of the Generalized Food-Limited Equations with Delay
Authors: M. Abdulhamid Bala , Haruna Yusuf , M. Muhammad Bamaina 
Published: October 2023

Abstract - The objective of the paper is to find conditions for the oscillation of the food-limited equation. We established conditions for the oscillation of all solutions of the generalized foodlimited equation by transforming the equation to a non-linear delay differential equation and then to a scalar delay differential equation and using the property of the scalar delay differential equation to obtain our result. Similarly we establish conditions for the oscillation of all solutions of the foodlimited equation with several delays by transforming the equation to a scalar differential equation to obtain the oscillatory property.
Determining Groundwater Recharge from Stream Flow with Seasonal Recession Method
Authors: - Ichwana , Nasution Zulkifli , - Sumono 
Published: October 2023

Abstract - Volume of groundwater recharge showed a picture of a watershed to determine the flow instability due to the physical characteristics of the watershed and precipitation. Many methods had been constructed to understand the dynamic movement of water discharge. One of them was the analysis of the stream hydrograph with Seasonal Recession Method. Information about groundwater recharge condition at several sub watershed in Krueng Peusangan Watershed was really needed in management of watershed for sustainable water resources. The study aimed to determine groundwater recharge from stream flow with seasonal recession method was conducted in Krueng Peusangan watershed, Aceh Province, Indonesia. The results showed that the trend pattern of the stream hydrograph could be explained using the exponential function where the dots lowest discharge that is the end of the recession (y) than any period of time on stream hydrograph semi logarithmic (x). The pattern of results that occurred in the watershed of Krueng Peusangan: (A) Krueng Seumpo had a trend for y = 9.2x-0.35, (B) Simpang Jaya for y = 559.7x-0.5, (C) Beukah village for y = 142x-0.32 , (D) Sub watershed of Lut Tawar (Wih Nareh) for y = 1.3x-0.12 and (E) Sub watershed of Teupin Mane (Krueng Teumbo) for y = 1.94x-0.42. It also showed that the location of A, B, C, E had a higher slope and a decreased recharge pattern compared to the location of D (sub watershed of Lut Tawar) that tended to flat. The volume of groundwater recharge that occurred in a region (A and D) increased while the other location was very volatile. Moreover, recharge instability occurred in Krueng Teumbo. Therefore, it needed a clear direction for land use and functions of forests, especially in the recharge area, in order to maintain the balance of the hydrological cycle, and the quantity of groundwater. Keywords: groundwater recharge, seasonal recession method, base flow, stream flow, water resources
Approximative Modellierung eines LLC-Resonanzwandlers mit Takagi-Sugeno-Modellen
Authors: Cavaterra Alessio , Lambeck Steven , Schwalbe Ulf 
Published: October 2023

ZusammenfassungLLC-Resonanzwandler spielen eine wichtige Rolle bei der Energieversorgung batteriebetriebener Elektrokleinfahrzeuge. Die Modellierung des nichtlinearen, dynamischen Verhaltens dieser Schaltungstopologie ist seit einiger Zeit Gegenstand von Forschungs- und Entwicklungsarbeiten. Häufig werden hierzu möglichst einfache lineare Kleinsignalmodelle abgeleitet, welche allerdings nur einen Reglerentwurf in einem Arbeitspunkt zulassen. Die vorliegende Arbeit greift eine neue Methode zur Modellierung von LLC-Resonanzwandlern auf und erweitert diese im Rahmen eines Takagi-Sugeno Fuzzy-Modells, um das nichtlineare Verhalten über einen großen Arbeitsbereich abzudecken. Die vorgestellte Methode wird mit einem datengetriebenen Takagi-Sugeno-Modell verglichen.
Influence of nuisance variables on the PMU-based disturbance classification in power transmission systems
Authors: Kummerow André , Bretschneider Peter 
Published: October 2023

Abstract
The online classification of grid disturbances in power transmission systems has been investigated since many years and shows promising results on measured and simulated PMU signals. Nonetheless, a practical deployment of machine learning techniques is still challenging due to robustness problems, which may lead to severe misclassifications in the model application. This paper formulates an advanced evaluation procedure for disturbance classification methods by introducing additional measurement noise, unknown operational points, and unknown disturbance events in the test dataset. Based on preliminary work, Siamese Sigmoid Networks are used as classification approach and are compared against several benchmark models for a simulated power transmission system at 400 kV. Different test scenarios are proposed to evaluate the disturbance classification models assuming a limited and full observability of the grid with PMUs.