Distribution Of Fragments Research Articles

Grassland biome fragmentation analysis using sentinal-2 images and support vector machine learning model in South Africa

The grassland biome, which is classified as a terrestrial ecosystem, contributes significantly to carbon sequestration. About one third of this ecosystem covers the land surface in south Africa and faces the danger of being eradicated. Much of the pressure is attributed to by synthetic initiatives that seeks to expand the economy of the country thereby meeting the demands of cumulative population. Mining, agriculture, and human settlement are the main characters. Given the paucity of research on the threatened ecosystem, the support vector machine learning algorithm (SVM) is employed to investigate fragmentation from 2016 to 2023. We used Sentinel-2A/B satellite images to learn more about spatial and temporal patterns, as well as the distribution of fragmentation in the grassland biome, using the Google Earth Engine platform. The findings revealed that grassland occupied 66% of the area in 2016, decreased to 52% in 2019, and then increased to 59% by 2023. The inconsistency in the pattern or trend of the grassland class is likely attributable to the expansion of the other classes. The SVM model indicated an overall classification accuracy of 97.62%, 97.66% and 98.58% in 2016, 2019, and 2023, respectively. In contrast, the models developed to relate LAI to NDVI, MSAVI2, OSAVI, and NDRE produced R2 values of 0.6396, 0.6325, 0.6387, and 0.6344, respectively. An in-depth understanding of the fragmentation patterns observed in grasslands yields valuable information for the formulation of conservation strategies, sustainable land-use planning, and climate-resilient management approaches aimed at safeguarding South Africa's distinctive grassland ecosystems.

Assessing the Impact of Surface Blast Design Parameters on the Performance of a Comminution Circuit Processing a Copper-Bearing Ore

Open-pit mining remains the dominant method for copper extraction in current operations, with blasting playing a pivotal role in the efficiency of downstream processes such as loading, hauling, crushing, and milling. This study assesses the impact of surface blast design parameters on the performance of a comminution circuit processing a copper-bearing ore. The analysis focuses on important design parameters such as burden, spacing, stemming, and powder factor, evaluating their influence on the fragment size distribution and downstream comminution circuit performance. Using the Kuz-Ram model, four novel blast designs are compared against a baseline to predict the size distribution of rock fragments (X80). Key performance indicators throughput and specific energy consumption are calculated to evaluate the comminution circuit performance. Results demonstrated that reducing the X80 from 500 mm to 120 mm led up to a 20% increase in throughput and a 29% reduction in total specific energy consumption. Furthermore, achieving finer particle sizes through more intensive blasting contributed to a reduction in total operating costs by up to 12%. These findings provide valuable insights for optimizing blast design to improve comminution circuit performance, contributing to sustainable mining practices by reducing energy consumption, operating costs, and the environmental footprint of mining operations.

Evolutionary Genomics Provides Insights Into Endangerment and Conservation of a Wild Apple Tree Species, Malus sieversii.

Understanding the evolutionary history of a species is essential for effective conservation management. Malus sieversii, a relict broad-leaf forest tree found in arid Central Asian mountains, has a narrow and fragmented distribution and is classified as an endangered species in China. This species is considered one of the ancestors of the domesticated apple trees. In the present study, we sampled five populations of M. sieversii and its wide-ranging congener M. baccata from China. Through deep whole-genome resequencing, we analyzed the population's genetic diversity, genetic structure, demographic history, fixation of deleterious mutations, and genomic divergence. Our results revealed that M. baccata exhibits a higher level of genetic diversity than M. sieversii. The effective population size of M. sieversii decreased, whereas that of M. baccata recovered after the bottleneck effect. In M. sieversii, the genetic structure of the Yili region was distinct from that of the Tacheng region. Populations at the rear edge of the Tacheng region showed a stronger fixation of deleterious mutations than those in the Yili region. Genomic divergence indicated that the positively selected genes were associated with physiological processes within the genomic islands between the Yili and Tacheng regions. Based on these findings, we recommend the establishment of two separate conservation units for the Yili and Tacheng lineages to preserve their genetic resources. Given the limited distribution range and high fixation rate of deleterious mutations, urgent protective measures are recommended for the Tacheng lineage.

Multiresponse optimization applied to friction-stir processing to enhance wear and corrosion performance in Al–Si alloys

In this study, friction stir processing (FSP) parameters were optimized using the response surface method (RSM) to enhance hardness, reduce the friction coefficient and minimize the corrosion rate in cast Al12Si and Al14Si alloys. The FSP tool, made of AISI H13 tool steel, features a concave shoulder and conical pin designed to induce severe plastic deformation. Microstructural analysis was performed via optical microscopy and SEM–EDS, and the particle size and distribution were assessed via ImageJ software. Microhardness profiles were measured across the Nugget, TMAZ, HAZ, and substrate zones. The corrosion resistance was evaluated using an AutoLab potentiostat/galvanostat following ASTM G59-97 standards, whereas the wear performance was assessed using a reciprocating linear tribometer (ASTM G133). FSP led to the fragmentation and uniform distribution of silicon and Fe-rich intermetallic phases within the aluminum matrix. The multiresponse optimization identified the optimal FSP parameters for Al12Si alloys at a tool rotation speed of 1100 rpm and a travel speed of 16 mm/min. Under these conditions, the Al12Si samples presented the highest microhardness (93 Hv), significant fragmentation of silicon particles (2.82 μm) and Fe-rich intermetallic phases (2.07 μm), reduced friction coefficient (0.60) and low corrosion rate (1.28 × 10⁻4 mm/y). The proposed model offers a reliable method to optimize FSP, leading to aluminum surfaces with superior microstructure, hardness, wear resistance and corrosion resistance.

Effect of High-Stress Levels on the Shear Behavior of Geosynthetic-Reinforced Marine Coral Sands

As an important construction material, the mechanical and deformation properties of marine coral sand determine the safety and stability of related island and coastal engineering construction. The porous and easily broken characteristics of coral sand often make it difficult to meet engineering construction needs. In particular, coral sand undergoes a large amount of particle breakage under high-stress conditions, which in turn negatively affects its mechanical and deformation properties. In this study, the macro- and micro-mechanical behavior of geosynthetic-reinforced coral sand under high confining pressure was investigated and compared with unreinforced cases using the three-dimensional discrete element method (DEM), which was verified by indoor triaxial tests. The results showed that the stress–strain responses of unreinforced and reinforced coral sand under high confining pressure showed completely different trends, i.e., the hardening tendency shown in the reinforced case. Geosynthetic reinforcement can significantly inhibit the stress–strain softening and bulging deformation of coral sand under high confining pressure, thus improving the shear mechanical performance of the reinforced sample. At the microscopic scale, high confining pressure and reinforcement affected the contact force distribution pattern and stress level between particles, determining the macroscopic mechanical and deformation performance. In addition, the breakage of particles under high confining pressure was mainly affected by shear strain and reinforcement. The particle fragment distribution, particle gradation, and relative breakage index exhibited different trends at different confining pressure levels. These breakage characteristics were closely related to the deformation and stress levels of unreinforced and reinforced samples.

Abstract A051: Identifying patterns of cell-free DNA associated with elevated risk of diffuse large B-cell lymphoma in adult dogs

Abstract Background: Nonrandom patterns of cell-free DNA (cfDNA) are closely associated with malignancy. We hypothesize that they are also found in the systemic microenvironment that gives rise to cancer, and that such signatures can inform a risk stratification test. To achieve this, we have initiated the Lymphoma Risk Assessment (LyRA) study, using machine learning on a training set of dogs with known health status and a test set of otherwise healthy adult pet dogs to identify cfDNA signatures that are associated with elevated risk of developing diffuse large B- cell lymphoma (DLBCL). We will validate the predictive accuracy of these signatures, including the persistence of the risk environment and the interval between risk detection and development of clinical disease. Since cfDNA is the primary input of the LyRA test, we first performed a pilot study to assess how sample characteristics affect cfDNA quality and subsequent low-pass whole genome sequencing (WGS) data. Methods: Blood samples were collected from pet dogs with the owner’s informed consent. Paired samples were collected into potassium (K3)EDTA tubes and additive-free red top tubes (n = 5 dogs) or K3EDTA tubes and Cell-free DNA BCT® Streck Tubes (n = 6 dogs). Additional serum samples (n=3) were generously provided by the Morris Animal Foundation Golden Retriever Lifetime Study. cfDNA was isolated using the QIAamp® Circulating Nucleic Acid kit. Total cfDNA concentration was measured by PicoGreen™ and fragment distribution by Agilent High Sensitivity D500 ScreenTape® Assay, with comparisons made by starting material (plasma vs. serum) and collection tubes. Results: Serum had both higher total concentrations of cfDNA (PicoGreen™) and calibrated concentrations of long fragment cfDNA (515-658 bp Agilent traces) compared to plasma. In addition, total cfDNA concentrations increased with malignancy, following the pattern: no cancer < cancer < hematological cancer. Median fragment lengths of Agilent peaks also increased with malignancy for short (125-181 bp) and medium (340-425 bp) fragments, in both serum and plasma, but decreased for long fragments. In these pilot data the trends seen were consistent with our hypothesis and with prior studies, although due to sample size, no statistical testing was performed. Conclusions: The pilot study demonstrated that the effects of sample parameters on cfDNA quality are consistent with existing literature, validating our methods and supporting the rationale for the LyRA study. These features may prove valuable when integrated with genomic data to identify high-risk microenvironments. Recent research has shown that a majority of cfDNA in tumor patients originates from non-malignant cells and current methods often overlook potentially important patterns in this so-called 'discard cfDNA.' By focusing on these overlooked patterns, with an emphasis on risk stratification, the LyRA test could shift clinical management to a prevention-focused approach, serving as a model of testing and interception for DLBCL and other cancers in dogs, and potentially in humans. Citation Format: Lauren E Burt, Amy E Treeful, Mitzi Lewellen, Kimberly Demos-Davies, Andrea Chehadeh, Sara Pracht, Ashley J Schulte, Caitlin Feiock, Julia Medland, Davis Seelig, Kelly M Makielski, Ali Khammanivong, Antonella Borgatti, Michael S Henson, Michael Linden, Daniel Vallera, Gary R Cutter, Aaron L Sarver, Jaime F Modiano. Identifying patterns of cell-free DNA associated with elevated risk of diffuse large B-cell lymphoma in adult dogs [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A051.

Comparative evaluation of commercial DNA isolation approaches for nanopore-only bacterial genome assembly and plasmid recovery

The advent of Oxford Nanopore Technologies has undergone significant improvements in terms of sequencing costs, accuracy, and sequencing read lengths, making it a cost-effective, and readily accessible approach for analyzing microbial genomes. A major challenge for bacterial whole genome sequencing by Nanopore technology is the requirement for a higher quality and quantity of high molecular weight DNA compared to short-read sequencing platforms. In this study, using eight pathogenic bacteria, we evaluated the quality, quantity, and fragmented size distribution of extracted DNA obtained from three different commercial DNA extraction kits, and one automated robotic platform. Our results demonstrated significant variation in DNA yield and purity among the extraction kits. The ZymoBIOMICS DNA Miniprep Kit (ZM) provided a higher purity of DNA compared to other kit-based extractions. All kit-based DNA extractions were successfully performed on all twenty-four samples using a single MinION flow cell, with the Nanobind CBB Big DNA kit (NB) yielding the longest raw reads. The Fire Monkey HMW-DNA Extraction Kit (FM) and the automated Roche MagNaPure 96 platform (RO) outperformed in genome assembly, particularly in gram-negative bacteria. Based on our finding, we recommend a minimum read coverage and raw read N50, obtained from the appropriate DNA extraction kit for each bacterial species, to optimize genome assembly and plasmid recovery. This approach will assist end-users in selecting the most effective kit-based extraction method for bacterial whole-genome assembly using only long-read nanopore sequences.

Fracture and fractal characteristics of high-temperature granite under confined space water jet impact

In the application of jet assisted deep drilling technology, the fracture mode and rock fragment characteristics of high-temperature rock in the confined space of jet drilling are not yet clear. We analyzed the fragmentation and debris distribution of high-temperature granite under confined space jet action using 3D reconstruction technology and statistical fractal theory to examine their fragmentation patterns and fractal characteristics. The results show that high-temperature rocks exhibit obvious thermal fracturing characteristics under the impact of confined water jet, and as the rock temperature increases, vertical compression shear cracks connect with radial tensile cracks. The maximum damage area is located near the bottom of the confined hole, and the distribution of cracks is more complex. As the degree of jet confinement decreases, the rock cracking form changes from radial tensile cracking to vertical compression shear cracking. As the rock temperature increases and the confined space size decreases, the total mass and large debris mass percentages of rock debris increase. The particle size distribution of rock debris follows an Rosin-Rammler (R-R) distribution and has obvious fractal characteristics. The fracture and fragmentation of high-temperature rocks under confined water jet impact are mainly caused by the combination of jet impact stress waves and thermal stress. The temperature difference of rocks affects the heat transfer between jet and rock, and the confined space size directly affects the heat transfer efficiency between jet and rock, which is manifested in different numbers of fracture cracks, internal damage area, and rock debris size distribution. These findings can provide a theoretical and parameter optimization basis for jet-assisted deep reservoir drilling applications.

Construction of a deterministic mathematical model for the spatial-mass distribution of random fragments produced by cased charge explosion

To evaluate the destructive effects of fragment impacts on structures or personnel, it is crucial to assess the velocity, mass, size, and impact location of the fragments, as well as establish the correlation between these factors. This paper presents the experimental measurement of fragment velocities produced by the explosion of a cased charge, the fragments resulting from the explosion are collected and steel plates are used to record the impact locations and sizes of the fragments. Based on the experimental results, the calculation models of fragment velocity, fragment mass distribution and fragment scattering angle are corrected, the spatial distribution models of fragment size and number are established, and the functional relationship between fragment mass and size is constructed. Given the aforementioned research findings, the fragment spatial-mass distribution models based on the size distribution function and based on the mass distribution function are constructed, and the fragment space-mass distributions corresponding to the number of impact regions of 1, 5 and 10 are analyzed, and the effect of the number of impact location divisions on the fragment space-mass distribution is explored. The research results show that, for the current test charge, the fragment spatial-mass distribution model based on the size distribution function aligns most accurately with experimental results when the impact regions is divided into 10. The number of impact locations designated within each region is directly proportional to the number of fragments in that specific region. Notably, the impact location of the largest fragment occurs at 0.8 times the length of the impact region, whereas the peak fragment impact density occurs at 0.743 times the length of the impact region. The spatial-mass distribution model proposed in this paper successfully correlates the velocity, mass, size and impact location of the fragments, providing a realistic theoretical representation of the spatial geometric distribution of the fragments.

Distribution of bone fragments in angled shots: an experimental study conducted on composite models containing artificial bone plates.

In conventional gunshot injuries to targets containing bone the resulting osseous fragments do not precede but follow the bullet on its further way through adjacent soft tissues. The term "secondary projectiles" for the particles does not appear to be appropriate since they are not believed to have enough energy necessary for creating their own wound channels away from the temporary cavity. Former studies have shown that in angled shots to glass panes the bulk of splinters does not follow the bullet's trajectory: The majority of the glass fragments, especially the larger ones, move at right angles to the pane shot through. The aim of the presented study was to examine whether osseous fragments behave like glass splinters in angled shots to flat synthetic bone. In this context, it should also be assessed, whether the bone fragments might act as secondary projectiles in rare cases. To answer these questions, test shots were fired to composite models consisting of flat synthetic bone and ballistic gelatin. Pistol cartridges 9mm Luger were used to fire the shots which were video-documented with a high-speed camera. Afterwards, the composite models underwent CT examination and macroscopic inspection. Video-documentation revealed that the larger bone particles from the perforation site move at a roughly right angle from the osseous sheet into the gelatin, causing an eccentric bulge of the temporary cavity. The smaller bone fragments were also lodged along the bullet's path, predominantly in the cracks radiating from the permanent wound channel.

Prioritizing Conservation Areas for the Hyacinth Macaw (Anodorhynchus hyacinthinus) in Brazil From Low-Coverage Genomic Data.

Estimates of current genetic diversity and population connectivity are especially important for endangered species that are subject to illegal harvesting and trafficking. Genetic monitoring can also ensure that management units are sustaining viable populations, while estimating genetic structure and population dynamics can influence genetic rescue efforts and reintroduction from captive breeding and confiscated animals. The Hyacinth Macaw (Anodorhynchus hyacinthinus) is a charismatic endangered species with a fragmented (allopatric) distribution. Using low coverage genomes, we aimed to investigate the dynamics across the remaining three large disjunct populations of Hyacinth Macaws in Brazil to inform conservation strategies. We obtained low coverage DNA data for 54 individuals from seven sampling sites. Our results showed that Hyacinth Macaws have four genetically structured clusters with relatively high levels of diversity. The Pantanal biome had two genetically distinct populations, with no obvious physical barriers that might explain this differentiation. We detected signs of gene flow between populations, with some geographical regions being more connected than others. Estimates of effective population size in the past million years of the species' evolutionary history showed a decline trend with the lowest Ne in all populations reached within the last few thousand years. Our findings suggest that populations from the Pantanal biome are key to connecting sites across its distribution, and maintaining the integrity of this habitat is important for protecting the species. Given the genetic structure found, we also highlight the need of conserving all wild populations to ensure the protection of the species' evolutionary potential.

Re-investigation of the interplay of fission modes and non-equilibrium fission processes in heavy actinide nuclei 249Bk and 257Md

Measurements of mass and angular distributions of fission fragments from actinide nuclei 249Bk and 257Md, produced in fusion reactions 11B and 19F + 238U, are presented. Experimentally observed mass ratio distributions indicate “multi-chance fission” through the interplay of fission modes in the fission process, and they agree well with predictions from calculations using the GEF (“GEneral description of Fission observables”) model code. Furthermore, to test the signatures of events from non-compound nuclear processes in the fission of 249Bk and 257Md nuclei, Monte Carlo statistical decay model calculations using GEMINI++ were performed for the measured mass distribution at all energies. For comparison purposes, the fission fragment mass distributions of neighboring heavy actinide nuclei, previously measured in the fission of 250Cf and 254Fm nuclei produced by 12C and 16O projectiles on a 238U target, are also presented. The measured angular anisotropy data for the 19F + 238U reaction differ from the results of the Transition State Model (TSM) at energies below the fusion barrier. As a result of the present study, we suggest considering the interplay between K relaxation time, dynamic dissipation, and their influence on shell correction to understand the evolution of fission dynamics in heavy-ion-induced actinide nuclei.

EVALUATION OF FISSION FRAGMENT MOMENTS OF INERTIA FOR SPONTANEOUS FISSION OF CF-252

Abstract The paper discusses methods for estimating the moments of inertia of fission fragments for spontaneous fission of the isotope Cf-252, in particular, two main approaches are mentioned: statistical and microscopic. In addition, the methods of the classical and superfluid approaches to the calculation of the moments of inertia are discussed, as well as their application to different models of nuclei. Within this framework, the influence of different vibrational modes and nucleon exchange on the moments of inertia and spin distributions of fission fragments is evaluated. The paper emphasizes the need for a comparative analysis of theoretical predictions with experimental data for a deeper understanding of the internal structure of nuclei and fission mechanisms.

A new species of Philosina Ris, 1917 (Zygoptera) from China

A new species Philosina nigromacula Yu & Jin, 2024 is described from Sichuan, southwest China, with paratypes from Sichuan and Jiangxi, east China. The new species is generally similar to Philosina buchi Ris, 1917 but has a different abdominal color pattern. There is a strange sack-like structure on the end of the male genital ligula in P. buchi and P. nigromacula, which is described and discussed for the first time. The fragmented distribution of Philosina Ris, 1917 is also discussed as well as possible reasons for the origins of the genus. The need for protection of the small number of species contained within the unique genus Philosina is also emphasized.

Prediction of rock fragmentation in the Boukhadra’s mine conditions

Purpose. The objective of the study consists in obtaining better quality rock fragmentation by using inclined holes to ensure good energy distribution and better stability of the upper wall.The Kuz-Ram model and the Langefors method are best suited to achieve the goal. Methodology. The study compares the blasting plan adopted by the Boukhadra mine located in the Wilaya of Tebessa, with that calculated by the Langefors method while using inclined holes. We chose the Kuz-Ram model as a simulation model and validation for the following reasons. Findings. The application of the proposed method of Langefors gave a satisfactory result in terms of process efficiency, the Kuz-Ram model predicts a significant reduction in the rate of oversized blocks using an inclined hole drilling technique, from 13.1 to 5.3 %. This approach appears to improve the degree of fragmentation, reduce the percentage of oversized blocks and decrease energy loss during blasting. Originality. Rock fragmentation, which corresponds to the size distribution of fragments of the blasted rock, is one of the most important indices for estimating the effectiveness of blasting works where the size of the fragments of the blasted pile plays an important role in efficient transportation, crushing and grinding.The size of the fragments depends on the characteristics of the rock mass, the type of explosive used, and the drilling and blasting pattern. Practical value. The use of inclined holes is an important technique to optimize rock fragmentation in open pit mines. The inclination can be adjusted to improve the direction and distribution of blast energy, which contributes to more efficient and uniform fragmentation of extracted rocks.

Influence of explosive type and constant γ in Mott’s stochastic model on terminal-ballistics parameters of high-explosive warheads using numerical simulations

The research examined the use of numerical simulations for high-explosive (HE) munitions. Lagrange and Euler solvers from Ansys Autodyn, whose brief theoretical synopsis is given, were utilized. Numerical program modeling of materials under dynamic loads (explosives and solid bodies) is also explained. The study also provides a brief summary of relevant research works that address numerical simulations of the fragmentation of HE projectiles (warheads). First, using data from other authors, the numerical model in this paper was effectively validated. The original research in the publication included an evaluation of the influence of explosive type on mass distribution, as well as velocity and the kinetic energy of fragments on cylindrical warheads, along with some recommendations and findings. Results show that ordered by values of initial fragment velocity are explosives: Trinitrotoluen (TNT), H6, Comp. B, Octol, PBX-9404-3, and LX-10-1. Explosives LX-10-1 and PBX-9404-3 showed similar performance because both explosives are HMX-based mixtures, with LX-10-1 having 0.5% more Octogen (HMX). The greatest (fastest) expansion of fragments (for the given time frame of 150 µs) is present in the most potent explosives (LX-10-1 and PBX-9404-3) since they have the largest detonation velocities. In the configurations with stronger explosives (Octol, LX-10-1, PBX-9404-3), the front and rear cover of the cylinder is more fragmented than in the case of weaker explosives. The highest number of fragments is obtained with PBX-9404-3 explosive, 142% higher than using TNT charge. Also, as part of the original research in the paper, an assessment of the influence of the constant γ in Mott’s stochastic fragmentation model on the mass distribution of fragments and their kinetic energy was made. Results indicate that constant γ has the greatest influence on the number of very small fragments, which can be used when calibrating this constant with experimental data. The masses of fragments are relatively uniform (for all γ values) up to the mass group of 50–100 g, above which the most massive fragments are obtained when γ = 5. Most of the fragments have relatively high energy where that is, fragments of mass 0.5–2 g have an average kinetic energy of 470–650 J, while fragments of masses 50–100 g have an average kinetic energy of 50–85 kJ. Described numerical simulations are a valuable tool for HE warhead designers, as they can minimize the time and expense associated with optimizing HE munition design and effectiveness evaluation when used in conjunction with available analytical techniques and experimentation procedures.

Fragment and torsion biasing algorithms for construction of small organic molecules in proteins using DOCK.

The computational construction of small organic molecules (de novo design), directly in a protein binding site, is an effective means for generating novel ligands tailored to fit the pocket environment. In this work, we present two new methods, which aim to improve de novo design outcomes using (1) biasing algorithms to prioritize selection and/or acceptance of fragments and torsions during growth, and (2) parallel-based clustering and pruning algorithms to remove duplicate molecules as candidate fragment are added. Large-scale testing encompassing thousands of simulations were employed to interrogate the methods in terms of multiple metrics which include numbers of duplicate molecules generated, pairwise-similarity, focused library reconstruction rates, fragment and torsion frequencies, fragment and torsion rank scores, interaction energy and drug-likeness scores, and 3D pose comparisons. The biasing algorithms, particularly those that include fragment and torsion components simultaneously, led to molecules that more closely mimicked the distributions of fragments and torsions found in drug-like libraries. The new parallel-based clustering and pruning algorithms, compared with the existing serial approach, also led to larger ensembles comprised of topologically unique molecules with much greater efficiency by removing redundant growth paths.

Multiplicity dependence of charged-particle intra-jet properties in pp collisions at s = 13 TeV

The first measurement of the multiplicity dependence of intra-jet properties of leading charged-particle jets in proton–proton (pp) collisions is reported. The mean charged-particle multiplicity and jet fragmentation distributions are measured in minimum-bias and high-multiplicity pp collisions at center-of-mass energy s = 13 TeV using the ALICE detector. Jets are reconstructed from charged particles produced in the midrapidity region (|η|<0.9) using the sequential recombination anti-kT algorithm with jet resolution parameters R = 0.2, 0.3, and 0.4 for the transverse momentum (pT) interval 5–110 GeV/c. The high-multiplicity events are selected by the forward V0 scintillator detectors. The mean charged-particle multiplicity inside the leading jet cone rises monotonically with increasing jet pT in qualitative agreement with previous measurements at lower energies. The distributions of jet fragmentation function variables zch and ξch are measured for different jet-pT intervals. Jet-pT independent fragmentation of leading jets is observed for wider jets except at high- and low-zch values. The observed “hump-backed plateau” structure in the ξch distribution indicates suppression of low-pT particles. In high-multiplicity events, an enhancement of the fragmentation probability of low-zch particles accompanied by a suppression of high-zch particles is observed compared to minimum-bias events. This behavior becomes more prominent for low-pT jets with larger jet radius. The results are compared with predictions of QCD-inspired event generators, PYTHIA 8 with Monash 2013 tune and EPOS LHC. It is found that PYTHIA 8 qualitatively reproduces the jet modification in high-multiplicity events except at high jet pT. These measurements provide important constraints to models of jet fragmentation.

Hurst Exponent and Event-by-Event Fluctuations in Relativistic Nucleus–Nucleus Collisions

A joint study of multi-particle pseudo-rapidity correlations and event-by-event fluctuations in the distributions of secondary particles and fragments of the target nucleus and the projectile nucleus was carried out in order to search for correlated clusters of secondary particles. An analysis of the collisions of the sulfur nucleus with photoemulsion nuclei at an energy of 200 A·GeV is presented based on experimental data obtained at the SPS at CERN. The analysis of multi-particle correlations was performed using the Hurst method. A detailed analysis of each individual event showed that in events of complete destruction of a projectile nucleus with a high multiplicity of secondary particles, long-distance multi-particle pseudo-rapidity correlations are observed. The distribution of average pseudo-rapidity in such events differs significantly from others, as it is much narrower, and its average value is noticeably shifted towards lower values &lt;η&gt;.

An update on the wild bee fauna (Hymenoptera, Apoidea, Anthophila) of Serbia

Numerous wild bee (Hymenoptera, Apoidea, Anthophila) species show negative population trends, while the knowledge gaps on their occurrences and distributions prevent adequate conservation actions. The need for continuous updating of species records and reconfirmation of their presence has been recognized, especially in understudied areas. The present study presents the results of bee monitoring at 30 Serbian localities, each surveyed three times during 2023. Two sampling methods were used, the transect walks and the pan traps, resulting in a detection of 232 wild bee species. Among them, 13 species found at 13 localities, represent the first published records from Serbia: Andrena ferox Smith, 1847, A. nana (Kirby, 1802), A. praecox (Scopoli, 1763), A. pusilla Pérez, 1903, A. susterai Alfken, 1914, A. angustior (Kirby,1802), A. curvungula Thomson,1870, A. falsifica Perkins, 1915, Hoplitis mitis (Nylander, 1852), Hylaeus friesei (Alfken, 1904), Melitta melanura (Nylander, 1852), Nomada trapeziformis Schmiedeknecht, 1882, and Osmia uncinata Gerstaecker, 1869. This study contributes to an update of the list of bee species in Serbia, that now counts 744 species, and also provides additional data on European distributions. The new information on Melitta melanura is especially noteworthy, since this species has been assessed as Endangered by the European Red List of Bees due to its small area of occupancy and a severely fragmented distribution. Other important findings include the confirmation of the presence of some wild bee species in Serbia, i.e., 10 species reported as new records within the previous update, and 19 species that were without previously available records from the 21st century. Additionally, the present study indicates the effectiveness of both conducted monitoring techniques, in terms of different recorded species and numbers of specimens. These results lead to the conclusion that corroborates the application of complementary sampling methods as an adequate way to survey bee diversity and abundance.