bluuebunny/crossref_metadata_2025_split huggingface dataset:
Presumably BiOS-induced zooplankton invasion from the western Mediterranean to the east, eventually introduced by Acartia (Hypoacartia) adriatica (Crustacea: Copepoda)
Authors: Duman Güler Sıla , Mutlu Erhan , Kurt Tuba Terbıyık , Karaca Doğukan , Uysal Zahit 
Published: January 2024

Abstract
Mediterranean is well-known of its’ rich biodiversity among the semi-enclosed seas which was affected from atmospheric-sea interactions coupled with globally ocean oscillations and El Nino as well as from the basin-wise decadal Bimodal Oscillating System (BiOS) and the Atlantic rim current. Besides invasion of non-indigenous species (NIS) in Levant Sea, to the Turkish coastal water recent introduction of Mediterranean indigenous species (IS) which are common in West Mediterranean and Adriatic Sea is noteworthy to mention. Introductions through BIOS may put extra burden on the ecosystem of the Levant Sea which is already threatened by NIS invasions. During a study on mesozooplankton distribution along the Turkish Mediterranean coastal waters in summer 2019, one calanoid copepod species, Acartia (Hypoacartia) adriatica which is widely distributed in Italian coasts was identified for the first time for the Levant Sea and found numerous at one of 67 sampling stations in the study area. Furthermore, abundances of five phytoplankton species (two of them common in Adriatic Sea) were estimated to be 50 to 100 fold higher at this particular station compared to the rest of the stations. Physicochemical (relatively lower salinity and unusual high nutrient levels for the summer period in Levantine basin) and biological properties of this single station fell apart from the neighboring stations. Near-past records (17 gelatinous specimens recorded in the Turkish seas in 2019-2020; all species present in West Mediterranean Sea) of other specimens were harmonized as a consequence of the BiOS. The present study suggests that i) zooplankton may have been transported to this region by a different mechanism rather than well-known routes and vectors (Suez Canal, ship ballast water and aquaculture), ii) the BiOS may be another vector for new species introductions into Levant Sea, and iii) between-sea-to-sea introduction of NIS or IS could not be ignored for their effects on already established ecosystem specific to Mediterranean.
The role of Outside Directors in Tunnelling-related Tax Avoidance: Evidence from Indonesia
Authors: Fletcher Marie Margaret , Falbo Teza Deasvery 
Published: January 2024

Abstract
Indonesia relies heavily on taxation revenues thus tax avoidance in corporations needs to be minimised. We explore the relationship between tax avoidance and tunnelling, and specifically whether the presence of outside directors as board members affects this relationship by examining a sample of non-cyclical consumer firms listed on the Indonesia Stock Exchange (IDX) from 2016 to 2020. When the tunnelling approach is used through normal business operations, we find that tax avoidance enables tunnelling activities, which benefit the controlling shareholders. Tax avoidance affects tunnelling in three ways: by providing additional cash flow from tax savings that can be tunnelled to controlling shareholders, by creating accounting opacity from the complex tax strategies that can obscure the tunnelling activities, and by using the related party transactions for both tax avoidance and tunnelling purposes. The results further show that the existence of outside directors as part of the governance mechanism can moderate the tax avoidance-tunnelling relationship.
Uncovering High Average Utility Rare Itemsets in Uncertain Databases
Authors: S Nandhini S , S Kannimuthu 
Published: January 2024

Abstract
High Utility Itemset Mining (HUIM) is very crucial mining process in the field of data mining because of its wide range applications apart from market analysis. But HUIM often mines lengthier itemsets as high utility itemset though it is not and the shorter valuable itemsets are left unidentified. High Average Utility Itemset Mining (HAUIM) overcomes the drawback of HUIM and mines the valuable itemsets based on their true values rather than getting affected because of the length or the number of items in the itemset. The proposed algorithm, mines High Average Utility Rare Itemset using the Multi-Objective Evolutionary Algorithm (HAURI-MOEA/D) based on the decomposition technique. Mining rate itemset holds an important insight in many applications like detecting anomalies, market differentiation, healthcare, scientific research and much more. This work aims at mining such unique rate itemsets with high average utility from the uncertain database. The uncertainty in the database here refers to the dynamic nature of the utility associated with each unique item in the dataset. In real world data, the utility of the items will vary time to time and the same has been considered as uncertainty in this work. The proposed algorithm is compared with other multi-objective algorithms to mine rare HAUIs and it is proved that the proposed algorithm performs well in terms of Hypervolume, Coverage and Generational Distance.
Two case reports of a novel missense mutation in the PNPLA6 gene in two siblings with chorioretinal dystrophy, hypogonadotropic hypogonadism, and cerebellar ataxia.
Authors: Liampas Andreas , Nicolaou Paschalis , Votsi Christina , Georghiou Anthi , Christodoulou Kyproula , Tanteles George A , Pantzaris Marios 
Published: January 2024

Abstract

BACKGROUND
Boucher Neuhäuser Syndrome (BNS) is a rare disease with autosomal recessive inheritance defined by the classical triad; early-onset ataxia, hypogonadism and chorioretinal dystrophy.
CASE PRESENTATION
We present two siblings diagnosed with BNS at midlife, identified with homozygous state of a novel PNPLA6 missense mutation. One healthy sibling and the mother were heterozygous carriers of the mutation. The proband presented with the classical triad and the other sibling presented with visual problems at first. The proband was referred to our department by a private Neurologist, at early adulthood, because of hypogonadism, cerebellar ataxia, axonal neuropathy and chorioretinal dystrophy for further evaluation. The sibling was referred to our department for evaluation, at childhood, due to visual problems. Later, the patient displayed the triad of ataxia, hypogonadotropic hypogonadism and chorioretinal dystrophy. The unusual medical history of two siblings led to further examinations and eventually the diagnosis of the first BNS cases in Cyprus. WES-based ataxia in silico gene panel analysis revealed 15 genetic variants, and further filtering analysis revealed the PNPLA6 c.3323G>A variant. Segregation analysis in the family with Sanger sequencing confirmed the PNPLA6 homozygous variant c.3323G>A, p.Arg1108Gln in exon 29.
COONCLUSIONS
This highlights the importance of considering rare inherited causes of visual loss, spinocerebellar ataxia or/ and HH in a neurology clinic and the significant role of genetic sequencing in diagnostic process.
Because We Love You (BeWeL): A protocol for a randomized controlled trial of two brief interventions focused on social and cultural connectedness to reduce risk for suicide and substance misuse in young Alaska Native people
Authors: Rasmus Stacy , D'Amico Elizabeth J. , Allen James , Nation Cynthia , John Simeon , Joseph Victor , Rodriguez Anthony , Alvarado Gaby , Gittens Allyson D. , Palimaru Alina I. , Brown Ryan A. , Kennedy David P. , Woodward Michael J. , Parker Jennifer , McDonald Keisha 
Published: January 2024

Abstract
Background
Suicide among young people in Alaska Native (AN) communities was nearly unheard of through the establishment of statehood in 1959, but in the 1970s, AN suicide rates began to double every five years, with most of the increase due to suicide among 15 to 25-year-olds. From 1960–1995, the suicide rate increased by approximately 500% during this period of rapid, imposed social transition. For example, families were forced to live in settlements and children were sent to boarding schools. These disruptions increased conditions associated with suicide risk (e.g., substance use disorders, cultural disconnection), and challenged the community-level social safety net of youth protective factors that might have moderated effects of these traumas. The present study addresses the significant gap in culturally appropriate evidence-based programming to address suicide prevention among AN young people as part of aftercare. Our key research questions and methodology have been informed by AN stakeholders, and the intervention approach is Indigenous-led.
Methods
Our interventions are targeted toward Alaska Native young people ages 14–24 who present with suicide attempt, ideation, or associated risk behaviors, including alcohol-related injury in the Yukon-Kuskokwim region or the Interior. In a randomized controlled trial, 14-24-year-old AN individuals will receive either BeWeL (n = 185), which comprises a 45-minute virtual cultural talk addressing family and ancestral strengths and increasing protective factors, or BeWeL plus motivational interviewing with social networks, which includes an additional 15 minutes focused on discussion of the individual’s social networks (n = 185). We will evaluate intervention effects on primary outcomes of suicide-intent risk, depression, anxiety, frequency of alcohol use, and alcohol consequences. Some of our secondary outcomes include individual and community protective factors, social networks, and awareness of connectedness.
Discussion
This project has the potential to expand the range and effectiveness of suicide prevention services for AN young people and will help meet the need in Alaska to link clinical behavioral health services to AN community-based networks, and to engage local cultural resources in aftercare for individuals at risk for suicide. Findings have potential to provide practical information to advance the field of suicide prevention and enhance protective factors and resiliency among this population.
Trial registration
ClinicalTrials.gov Identifier: NCT05360888
Counter-ion adsorption and electrostatic potential in sodium and choline dodecyl sulfate micelles - a molecular dynamics simulation study
Authors: Eliasquevici Rafaela , Bernardino Kalil 
Published: January 2024

Abstract
Context Choline-based surfactants are interesting both from the practical point of view to obtaining environmental-friendly surfactants as well as from the theoretical side since the interactions between the choline and surfactants can help to understand self-assembly phenomena in deep eutectic solvents. Although no significant change was noticed in the micelle size and shape due to the exchange of the sodium counterion by choline in our simulations, the adsorption of the choline cation over the micelle surface is stronger than the adsorption of the sodium, which leads to a reduction of the exposed surface area of the micelle and remarkable effects over the electrostatic potential. The choline neutralizes the surface charge of the surfactant better than sodium, however, this is partially compensated by a stronger water orientation around SDS micelle. The balance between the contributions from the surfactant, the counterion and water to the electrostatic potential leads to a complex pattern with alternate regions of positive and negative potential at the micelle/water interface which can be important to the incorporation of other charged species at the micelle surface as well as for the interaction between micelles in solution.
Methods To evaluate the effects of the counterion substitution, micelles of sodium dodecyl sulfate (SDS) and choline dodecyl sulfate (ChDS) were studied and compared by means of molecular dynamics simulations in aqueous solution. In both cases, the simulations started from pre-assembled micelles with 60 dodecyl sulfate ions and 240 ns simulations were performed at NPT ensemble at T = 323.15 K and P = 1 bar using the Gromacs software with the OPLS-AA force field to describe dodecyl-sulfate and choline, Åqvist parameters for sodium and SPC model for water molecules.
Simulation System for Indoor Lighting Environment Space Design Based on Optical Remote Sensors
Authors: Liang Shuli , Sun Xiyan 
Published: January 2024

Abstract

This article introduces the design and research process of the indoor lighting environment space design simulation system. From its composition, it is mainly divided into databases and indoor lighting software. The database system can provide supporting data for indoor lighting software, and the indoor lighting software includes multiple parts such as scene modeling and lighting calculation. With the help of the application program interface, the database achieves the transmission of data to the indoor lighting software, and then further completes the calculation of lighting through the indoor lighting software. In view of this, this article mainly explores and analyzes the model construction of optical remote sensors and the design model system of indoor lighting environment space. In addition, this article also uses three simulation models for optical imaging, namely ray tracing model, modulation transfer function model, and point spread function model, as effective research objects. Then, modulation transfer function and point spread function models are selected for comprehensive comparison to identify their advantages and disadvantages, and the two are used as the basis for the simulation model in this article. Through experiments, it was found that after modeling and simulating optical remote sensors, a variety of simulated images can be obtained. By using optical remote sensing image processing technology, a lot of useful information can be extracted, ultimately achieving diversified application effects of optical remote sensing images.
Oxovanadium(IV) Salicylidene Glycine Complex with Phenanthroline as Co-ligand: Synthesis, Crystal Structure and Catalytic Degradation of Methyl Orange with H 2 O 2
Authors: Medhi Tanaya , Alom Zahangir , Kalita Alok Ch , Gogoi Anshuman 
Published: January 2024

Abstract
A Schiff base oxido vanadium complex derived from glycine and salicylaldehyde with phenanthroline as co-ligand viz. [VO(salgly)(phen)].4H2O (1) (where salgly = Schiff base derived from salicylaldehyde and glycine, phen = 1,10-phenanthroline) was synthesized under ambient conditions. The complex was characterized by elemental analysis and spectroscopic techniques such as FT-IR, UV-vis and electron paramagnetic resonance (EPR). The structure of the complex was determined by single crystal X-ray diffraction. The asymmetric unit of complex 1 consists of two crystallographically unique V(IV) centers along with four water molecules of crystallization. The crystal packing of 1 is stabilized by π∙∙∙π stacking and C-H∙∙∙O hydrogen bonding interactions. Thermogravimetric analysis (TGA) of the complex was carried to determine its thermal stability. Moreover, complex 1 showed good catalytic activity for the degradation of methyl orange (MO) in presence of hydrogen peroxide.
Application of Object Detection Algorithm Based on Fiber Optic Sensors in Checking Body Fat Rate during Home Exercise
Authors: Jing Wu 
Published: January 2024

Abstract
With the increasing popularity of home fitness, people's attention to exercise effectiveness and physical health is also increasing. Body fat percentage directly reflects the body's fat content, and compared to obesity evaluation indicators such as weight or BMI, it can more scientifically and accurately evaluate the degree of obesity in the human body. In order to address the limitations of traditional body fat detection methods, this study chose fiber optic sensors as the means of body fat detection. The fiber optic sensors were in contact with the detected object, and the signals perceived by the fiber optic sensors during the motion process were converted into electrical signals. The signals were then digitized and algorithmic calculated. Using object detection algorithms to process the converted electrical signals, analyzing and extracting useful features from complex electrical signals, and accurately calculating the body fat percentage of the detected object. The results show that the algorithm proposed in this paper can accurately detect body fat percentage during home exercise, providing a convenient and fast monitoring method for sports enthusiasts, which helps improve fitness effectiveness and maintain physical health.
Comparative study on properties of recycled aggregate concrete using recycled aggregates coated with different pozzolanic materials
Authors: Kumbhar Popat , Lohar Hemant , Sanap Sagar , Rajratan Rohit , Shingade Abhishek 
Published: January 2024

Abstract
Recycled aggregates (RA) are the aggregates obtained from reprocessing materials, which were earlier used in constructions. The use of RA contributes to reducing waste and energy consumption and achieving sustainability. Several investigators have attempted to develop concretes using RA; however, the concrete so produced exhibited poor performance concerning workability and strength properties. The poor performance is found to be mainly due to high porosity and water absorption properties occurred due to the presence of sticked mortar to the RA surface. This fact necessitated proper treatment of RA so that the recycled aggregate concrete (RAC) could enhance its performance. In this paper, M20 grade RAC has been developed using ‘RA’ without and with coating of different pozzolanic materials viz., fly ash (FA), ground granulated blast furnace slag (GGBS), microsilica (MS), ultrafine slag (US) and other ingredients viz., cement, crushed sand, water and chemical admixture. Results of the experimentation show that the average workability (slump) and strengths of RAC produced using ‘RA’ coated with different pozzolanic materials increased by 102% and 17.27% respectively when compared to the RAC produced using RA without coatings. The RAC with RA coated using GGBS has shown higher strength (31.80 MPa) amongst the others. Further, the workability and strengths of normal concrete are found to be more by 108% and 19.38% respectively when compared to normal concrete. The study concludes that, RA coated with Pozzolanic materials can be considered as an alternative to NA for producing the concretes as they satisfy the required workability and strength properties.
Real-world study of first-line therapy with aumolertinib for elderly patients with non‑small cell lung cancer harboring EGFR mutation
Authors: Fang Hehui , Yang Liangfeng , Zhao Mingming , Xu Ting , Zhang Meilin , Fang Shencun 
Published: January 2024

Abstract
Background: Elderly patients account for approximately 70% of all NSCLC patients in China. They do not always benefit from standard treatments due to impaired organ function and multiple diseases. Our study aims to observe the efficacy and safety of aumolertinib as first-line therapy in NSCLC patients aged ≥ 65 and < 65 years in clinical practice.
Patients and methods: This study enrolled patients with stage IIA-IVB EGFR-mutant NSCLC who received aumolertinib alone as first-line therapy. The efficacy and safety were compared between patients ≥ 65 and < 65 years in different subgroups using the chi-square test. The primary endpoint was objective response rate (ORR). The secondary endpoints included progression-free survival (PFS), overall survival (OS), disease control rate (DCR) and safety.
Results: A total of 86 patients were included. Overall, ORR and DCR were 74.4% and 97.7%, respectively. ORR was 69.6% and 80.0% for patients ≥ 65 and < 65 years, respectively (p=0.27), and DCR was 97.8% and 97.5%, respectively (p=0.93). The median PFS (mPFS) of all patients was 24.2 months. The mPFS was 20.3 months and not reached in the ≥ 65 and < 65 years groups, respectively (p=0.18). Median OS was not reached. All AEs were not statistically different between the ≥ 65 and < 65 years groups.
Conclusions: The first-line therapy with aumolertinib showed excellent and encouraging results in this real-world study. The efficacy and safety profile of aumolertinib as first-line therapy in elderly EGFR-mutant NSCLC patients were similar to that seen in the younger subgroup.
A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties
Authors: Khayat Majid , Amoushahi Hossein 
Published: January 2024

Abstract
Composite materials have a high level of uncertainty (intrinsic and non-intrinsic) due to the manufacturing process as well as the placement of different phases of their constituent materials. These uncertainties can be identified in both macro and micro scales. Identifying the behavior of structures made of composite materials without taking into account the uncertainties, whether due to identification or modeling, can lead to unrealistic results, especially in the dynamic behavior of structures. One of these cases is the identification of damage types in composite structures which is usually done by using dynamic responses. Damages in composite materials or structures usually occur during construction or operation. The correct modeling of uncertainty sources is one of the most important factors in identifying the geometry, location, and severity of damages accurately. The uncertainties related to the position and placement of carbon nanotubes (CNTs) can cause noticeable changes in the characteristics of composite materials reinforced with CNTs. For this reason, in the present study, we identified damages in CNT panels by considering all possible sources of uncertainty. A probabilistic multi-stage reliability-based method was proposed in this study to detect damage in these structures. In order to model the intrinsic and non-intrinsic sources of uncertainty, a modified point estimation method (MPEM) was used. In addition, an enhanced differential quadrature (DQ) method was used to model the CNT panels. In each step of the proposed algorithm, the probability of damage in each element of the panels was calculated by analyzing the possible damages. According to the results of the previous step, the elements with a low failure probability were gradually sifted in the next steps. The sieved elements in each step were considered as intact elements in the next step. This systematic filtering of design variables can simultaneously reduce the dimensions and speed up the optimization problem. Finally, the probability of damage was calculated based on the probability density function of various damage severities and positions. The developed approach was applied for damage detection on a laboratory-tested plate to illustrate the efficiency of the proposed method. The effects of using different damage positions and severity levels on the diagnosis results were discussed. The results demonstrated that the number of frequencies and modes of vibration required to identify the position and severity of damages accurately is different according to the damage scenarios and the percentage of uncertainty.