Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding Racial Trauma: Implications for Professional Counselors

Racial trauma has become a common topic of discussion in professional counseling. This concept is also known as race-based traumatic stress, and it addresses how racially motivated incidents impede emotional and mental health for Black, Indigenous, and people of color (BIPOC). Research about this topic and strategies to reduce its impact are substantial in the field of psychology. However, little research about racial trauma has been published in the counseling literature. The intent of this paper is to provide an in-depth perspective of racial trauma and its impact on BIPOC to enhance professional counselors’ understanding. Strategies for professional counselors to integrate into their clinical practice are provided. In addition, implications for counselor supervisors and educators are also provided.
Tissue-Specific Hormone Signalling and Defence Gene Induction in an In Vitro Assembly of the Rapeseed Verticillium Pathosystem

Priming plants with beneficial microbes can establish rapid and robust resistance against numerous pathogens. Here, compelling evidence is provided that the treatment of rapeseed plants with Trichoderma harzianum OMG16 and Bacillus velezensis FZB42 induces defence activation against Verticillium longisporum infection. The relative expressions of the JA biosynthesis genes LOX2 and OPR3, the ET biosynthesis genes ACS2 and ACO4 and the SA biosynthesis and signalling genes ICS1 and PR1 were analysed separately in leaf, stem and root tissues using qRT-PCR. To successfully colonize rapeseed roots, the V. longisporum strain 43 pathogen suppressed the biosynthesis of JA, ET and SA hormones in non-primed plants. Priming led to fast and strong systemic responses of JA, ET and SA biosynthesis and signalling gene expression in each leaf, stem and root tissue. Moreover, the quantification of plant hormones via UHPLC-MS analysis revealed a 1.7- and 2.6-fold increase in endogenous JA and SA in shoots of primed plants, respectively. In roots, endogenous JA and SA levels increased up to 3.9- and 2.3-fold in Vl43-infected primed plants compared to non-primed plants, respectively. Taken together, these data indicate that microbial priming stimulates rapeseed defence responses against Verticillium infection and presumably transduces defence signals from the root to the upper parts of the plant via phytohormone signalling.
Molecular systematics of tamarins with emphasis on genus Tamarinus (Primates, Callitrichidae)

The genus Saguinus comprises three principal clades that diverged in the Middle to Late Miocene. Their taxa are ecologically differentiated and allopatrically distributed. These clades were recently recognized as different genera, Saguinus, Tamarinus and Oedipomidas. In Tamarinus, the phylogenetic relationships among species/subspecies are poorly understood. Thus, in this study we present a comprehensive dated genomic phylogeny based on double digest restriction associated DNA for all known species and subspecies of Tamarinus. We also tested whether that Tamarinus imperator and Tamarinus subgrisescens are different species, as morphology‐based taxonomy, phenotypical divergences and mitochondrial genes recognized them as two different species. Additionally, we reconstructed time‐calibrated phylogenetics tree hypotheses of all extant species and subspecies of the genera Saguinus, Tamarinus and Oedipomidas. Our analysis robustly supported the phylogenetic hypothesis of all species/subspecies of the genus Tamarinus; strongly supported a divergence between the three clades, Saguinus, Oedipomidas and Tamarinus; and provided support for T. imperator and T. subgrisescens as distinct species. Therefore, we reiterate and ratify the division of Saguinus into three genera, supporting the taxonomic proposal for these genera.
Anti-Inflammatory, Antinociceptive, Antipyretic, and Gastroprotective Effects of Eurycoma longifolia Jack Ethanolic Extract

Tongkat ali (Eurycoma longifolia Jack) (ELJ) is a plant in the Simaroubaceae family. Its roots are used in traditional Thai medicine to treat inflammation, pain, and fever; however, the antiulcer abilities of its ethanolic extract have not been studied. This study examined the anti-inflammatory, antinociceptive, antipyretic, and gastroprotective effects of ethanolic ELJ extract in animal models and found that ELJ effectively reduced EPP-induced ear edema in a dose-dependent manner and that a high dose of ELJ inhibited carrageenan-induced hind paw edema formation. In cotton-pellet-induced granuloma formation, a high dose of ELJ suppressed the increases in wet granuloma weight but not dry or transudative weight. In the formalin-induced nociception study, ELJ had a significant dose-dependent inhibitory impact. Additionally, the study found that yeast-induced hyperthermia could be significantly reduced by antipyretic action at the highest dose of ELJ. In all the gastric ulcer models induced by chemical substances or physical activity, ELJ extracts at 150, 300, and 600 mg/kg also effectively prevented gastric ulcer formation. In the pyloric ligation model, however, the effects of ELJ extract on gastric volume, gastric pH, and total acidity were statistically insignificant. These findings support the current widespread use of Eurycoma longifolia Jack in traditional medicine, suggest the plant’s medicinal potential for development of phytomedicines with anti-inflammatory, antinociceptive, and antipyretic properties, and support its use in the treatment of gastric ulcers due to its gastroprotective properties.
Crystal Growth of Wurtzite GaP Nanowires for Solar-water-splitting Devices

bandgaps can be connected axially and absorb a wide wavelength range of sun-light. In principle, such a tube-like structure can be fabricated by embedding a myriad of nanowire diodes on the substrate surface with a transparent resin, exposing the nanowire tips, peeling the resin film off the substrate, and rounding it. There are many challenges to achieve this target device. The growth of nanowires requires a good
Geometric optimization of steel trusses with parallel chords

The application of optimization to the solution of practical structural engineering problems has been very limited, despite the great development of the techniques. One of the main reasons for this is the complexity of the generated models, which employ nonlinear functions and generate a space of nonconvex solutions. In addition, most design variables, as in the case of steel profiles, can only assume discrete values. Traditional methods of mathematical programming are very limited in solving problems with these characteristics, opening space to the usage of heuristic methods and, more specifically, to metaheuristic methods. The main advantage of this class of methods is the fact that they only involve values of the functions in the optimization process, regardless of the existence of unimodality or even continuity in the derivatives of the functions involved. The present work presents the application of a heuristic method, the simulated annealing method, to the optimization of steel trusses with parallel chords, also called flat trusses. Initially, several usual configurations of trusses were analyzed, aiming to identify which led to the lowest cost. The top chord coordinates were also included as design variables, with the purpose of verifying the relations between span and height normally indicated in the literature as the most economical. Among the results, it was verified that the inclusion of the height of the truss among the design variables can lead to a significant additional cost savings.
IDENTIFYING THE REPLICAS IN SHORTER TIME BY MAINTAINING THE QUALITY

With techniques of pair choice of duplicate recognition procedure, there presents a trade-off among period of time essential to run duplicate recognition formula in addition to totality of results. Novel, duplicate recognition techniques that enhance efficiency to find duplicates once the execution time is fixed were introduced which take full advantage of gain of overall procedure within time accessible by way of confirming most results much before than traditional techniques. Progressive sorted neighbourhood method in addition to progressive obstructing calculations enhance effectiveness of duplicate recognition for situations with restricted execution time they energetically modify ranking of comparison candidates on foundation of intermediate results. Our approaches set up on generally used techniques, sorting in addition to obstructing, and for that reason make similar presumptions: duplicates could be sorted close towards each other otherwise arranged within same containers.
On the Maximum Planar Subgraph Problem

A graph is called planar if it admits a drawing in the plane such that two different edges only cross in common endpoints, i.e. a common vertex. The maximum planar subgraph problem searches for a planar subgraph with the maximum number of edges. It has many applications, e.g. in graph drawing, facility layout, circuit design and thickness approximation. Since it is an NP-hard problem, approximation algorithms returning feasible but possibly non-optimal solutions are used. To compare approximation algorithms, the approximation ratio defined as inf all graphs G |Eapp(G)| |Eopt(G)| is used, where Eapp(G) denotes the edge set of a possible output produced by the approximation algorithm and Eopt is the edge set of an optimal solution. The Greedy Algorithm The Algorithm Greedy tries to add edges greedily to a planar subgraph maintaining its planarity. Besides a graph G = (V,E), this algorithm also receives an ordered list of the edges as input. Starting with the subgraph (V, ∅) it tests, if the current subgraph remains planar when edge ei is added. The edge ei will be discarded in case it violates the planarity of the current subgraph, otherwise it will be added to the current subgraph.
Electrically tunable generation of vectorial vortex beams with micro-patterned liquid crystal structures

We develop a new method for smooth and continuous space-variant alignment of the liquid crystal medium in micro-patterned structures, which is based on a radial micro-structured pattern of polymeric ribbons exhibiting out-of-plane orientation with respect to the ITO-coated glass plates. Thanks to the broad range of electrical tunability of the optical retardation for the micro-patterned liquid crystal structures, transformation of the fundamental Gaussian beam into different types of specific beams, including generalized cylindrical vector beams, vortex beams, and vectorial vortex beams, is efficiently demonstrated.
Introducing Massive Open Metaverse Course and Its Enabling Technology

As metaverse becomes one of the most popular buzzwords in technology, there is still a lack of support to integrate true metaverse learning experiences in massive open online courses (MOOCs). This article introduces a new framework of massive open metaverse courses (MOMCs) and its major enabling technologies, which add immersive and 3-D learning experiences lacking in MOOCs. It then describes a detailed case study, the President's First Lecture at the Hong Kong University of Science and Technology (Guangzhou), which we consider the world's first true MOMC environment, enabled by the latest volumetric video and related virtual and augmented reality technologies. We describe in detail how this course is created and discuss the major advantages of MOMC over MOOC as well as its current limitations.
An Exploratory Study on Spoilage Bacteria and Listeria monocytogenes in Fresh Salmon: Extending Shelf-Life Using Vacuum and Seasonings as Natural Preservatives

Simple Summary The study aims at improving the shelf-life and safety of fresh salmon, a highly perishable food often consumed raw in sushi or sashimi. Good hygiene practices and vacuum packaging extended shelf-life up to 20 days. The presence of the bacteria Carnobacterium maltaromaticum inhibited Listeria monocytogenes growth, which may be responsible for foodborne illnesses. Seasonings, namely oregano oil, lemon juice, garlic powder, and salt (NaCl), showed inhibitory effects on spoilage bacteria and L. monocytogenes. The seasonings’ mixtures also exhibited bacteriostatic and bactericidal effects. Finally, a medium produced from salmon was developed and it showed a good correlation with bacterial growth in a standard commercial culture medium. Abstract A growing population increases the demand for food, but short shelf-lives and microbial hazards reduce supply and increase food waste. Fresh fish is highly perishable and may be consumed raw, such as salmon in sushi. This work aims to identify strategies to improve the shelf-life and safety of fresh salmon, using available methods (i.e., vacuum) and exploring the use of natural preservatives (i.e., seasonings). Vacuum packaging and good hygiene practices (which reduce initial flora) extended shelf-life up to 20 days. Carnobacterium maltaromaticum was dominant in vacuum packaging conditions and showed potential for inhibiting Listeria monocytogenes. For natural preservatives, L. monocytogenes required higher inhibitory concentrations in vitro when compared to the 10 spoilage bacteria isolated from fresh salmon fillets, presenting a minimum inhibitory concentration (MIC) of 0.13% for oregano essential oil (OEO), 10% for lemon juice, 50 mg mL−1 for garlic powder, and >10% for NaCl. A good bacteriostatic and bactericidal effect was observed for a mixture containing 5% NaCl, 0.002% OEO, 2.5% lemon juice, and 0.08 mg mL−1 garlic powder. Finally, using the salmon medium showed an adequate correlation with the commercial culture medium.
Multiple Access Integrated Adaptive Finite Blocklength for Ultra-Low Delay in 6G Wireless Networks

Facing the dramatic increase of real-time applications and time-sensitive services, large-scale ultra-low delay requirements are put forward for the sixth generation (6G) wireless networks. To support massive ultra-reliable and low-latency communications (mURLLC), in this paper we propose an adaptive finite blocklength framework to reduce the over-the-air delay for short packet transmissions with multiple-access and delay-bounded demands. In particular, we first give the specified over-the-air delay model. Then, we reveal the tradeoff relationship among queuing delay, transmission delay, and the number of retransmissions along with the change of finite blocklength, as well as formulate the adaptive blocklength framework. Based on the adaptive blocklength framework and associated with grant-free (GF) access protocol, we formulate the average over-the-air delay minimization problem, where the blocklength can be adaptively changed in terms of transmission time interval (TTI) design and bandwidth allocation to achieve the optimal tradeoff and obtain its minimum over-the-air delay. We develop the cooperative multi-agent deep Q-network (M-DQN) scheme with a grouping mechanism to efficiently solve the average over-the-air delay minimization problem. Numerical results validate our proposed adaptive blocklength scheme outperforms corresponding schemes in long-term evolution (LTE) and the fifth generation (5G) new radio (NR).
Unveiling High Mountain Communities’ Perception of Climate Change Impact on Lives and Livelihoods in Gilgit-Baltistan: Evidence from People-Centric Approach

ABSTRACT Climate change poses a significant threat to the lives and livelihoods of the local communities in high mountain regions. This study examines the perception of climate change and its impact on the lives and livelihoods of high mountain communities in Gilgit-Baltistan. Empirical evidence was gathered through four focused group discussions and thirty in-depth interviews with the local communities in Darkut and Shishkat areas. This study found that the local communities perceive a noticeable change in temperature patterns in terms of an increase in average temperatures and shorter winters. Such changes lead to the melting of glaciers and subsequently frequent floods during summer. The communities argue that a decrease in snowfall and alterations in the timing of snowfall directly affect the region's water supply. These changes impact the region's key livelihood activities, such as livestock rearing and agriculture, leading to reduced productivity, and an increased reliance on external food sources. This study emphasizes the urgent need for community-based adaptation strategies and support for climate-resilient livelihoods in these regions. It underscores the importance of incorporating the perspectives and experiences of high mountain communities when formulating policies and strategies to address the multifaceted impacts of climate change in mountainous areas.
Burnout Syndrome and Sleep Quality in Basic Education Teachers in Mexico

Burnout syndrome (BS) is the result of chronic stress in the workplace. Moreover, chronic stress can affect sleep. A unidirectional relationship has been established between burnout and sleep, and it is known that white-collar workers with burnout syndrome have sleep fragmentation and marked daytime sleepiness. Objective: The aim of this study was to assess the relationships between burnout and sleep quality in elementary school teachers in Mexico. Methods: We collected data from more than 400 teachers who completed tests. Correlation analyses controlled for anxiety and depression, and Poisson logistic regression analyses were performed to examine the relationships of burnout with sleep quality, depression, and anxiety. Results: There was a significant correlation between burnout syndrome (mainly in the dimension of emotional exhaustion) and sleep disturbances; significant correlations were also observed with other burnout, depression, and anxiety dimensions. The strength of the correlations decreased after controlling for depression and anxiety. Conclusions: The symptoms of burnout syndrome in teachers can overlap with sleep disorders, so it is necessary to make a differential diagnosis to differentiate burnout syndrome from depression and anxiety, among others.
Damage detection on a multi-cracked beam by parallel genetic algorithms using modal characteristic

The present addresses the problem of detecting damage on a multi-cracked reinforced concrete beam. The beam is subjected to a non-symmetrical increasing static load to introduce cracks, after each load step an experimental modal analysis is performed. The crack distribution of the beam is estimated by means of a model based damage detection method based on modal data. A crack is assumed to be directly related to a decrease of stiffness. Optimization is handled by a parallel genetic algorithm. Results show that parallel genetic algorithms give an important increase in performance compared to sequential genetic algorithms. Damage detected with this methodology has a good correspondence with the experimental damage patterns.
Metabolic Shifting Probiotic in Type 2 Diabetes Mellitus Management: Randomized Clinical Trial

Objective: The objective of this study is to assess the efficacy of BiotiQuest™ Sugar Shift, a probiotic formulated to transform monosaccharides, rehabilitated human gut microbiota, stabilize HbA1c and blood glucose, improve insulin resistance and reduce inflammation Methods: A double-blind, placebo-controlled study was carried out over 12 weeks with 64 Cubans, aged 30 to 65 with Type 2 Diabetes Mellitus diagnosed, 18 of whom being treated with insulin. Participants were randomly assigned to take either two capsules of the probiotic supplement or of placebo. Clinical measures were evaluated at 28-day intervals, included fasting and post-prandial glucose, HbA1c, lipid panel, insulin, creatinine, and serum lipopolysaccharide levels were assessed. Results: The treated group demonstrated a stabilization in their fasting blood glucose and postprandial glucose levels in treated group respect to the Placebo cohort. The HbA1c levels did not show significant changes in the treated group. The insulin levels decreased significantly in the treated group by day 84 compared to day 1 and to day 84 of the Placebo cohort (p=0.024 and p=0.015, respectively). Serum LPS levels also decreased significantly in the treated group (p=0.001). Conclusions: BiotiQuest™ Sugar Shift is suitable as adjunct therapy for the control of T2D. However, the 12-week trial period was not sufficient to detect significant reductions in all clinical parameters measured and a longer study is recommended.
Numerical Study on Change of Bottom Topography Data in a Closed Water Area

Techniques to investigate change of bottom topography in a closed water area are described. Numerical techniques are illustrated. Governing equations of flow were reduced to a system of ordinary differential equations with the collocation method, and a standard ODE solvers were applied. A governing equation of sediment transport was solved numerically. Numerical results were compared with measurement results.
CAPT: A Context-Aware Stateful Processing Ecosystem for Telco Infra Management

Telecommunication networks are evolving to embrace the cloud-native microservice paradigm, necessitating the redesign of existing 5G network products such as the Network Management System (NMS), Core, and Access. While cloud environments enable enterprises to scale applications cost-effectively on demand, effectively utilizing containers without compromising their benefits presents challenges. The NMS plays a crucial role in managing telco elements (TEs) deployed across the country and processing large volume of stateful data per second. The International Organization for Standardization (ISO) telecommunications management network defines the stateful NMS management tasks as fault, configuration, accounting, performance, and security (FCAPS). However, containerized NMS exhibits ephemeral state, making its management complex. This paper addresses the challenges associated with stateful storage selection, content placement, and content retrieval operations. To overcome these challenges, we propose CAPT, a Context-Aware stateful Processing ecosystem for Telco infrastructure management. Our approach ensures scalability by associating context information directly with FCAPS and TE type, rather than fixed storage entities, thereby maintaining the location-independent philosophy of cloud-native architectures. Through experiments using real telco field datasets provided by the operator, we demonstrate that CAPT, when integrated with NMS, enables high performance even with dynamic changes in TE count.
Solanum anomalum Leaf Extract and Fractions Attenuate Oxidative Stress and Liver Injuries in Alloxan-Induced Diabetic Rats

The leaf of Solanum anomalum used in ethnomedicine for the treatment of various ailments such as diabetes was evaluated for antioxidative stress and hepatoprotective potentials against hepatic injuries in alloxan-induced diabetic rats. Antioxidative stress and hepatoprotective activities of leaf extract and fractions (70-210 mg/kg) were assessed by determining oxidative stress markers levels, liver function indices and histopathological study of livers of treated rats. The leaf extract and fractions caused significant (p<0.05 – 0.001) increases in the levels of oxidative stress markers (SOD, CAT, GPx, GSH) in the livers of the treated diabetic rats. The extract/fractions treatment caused reduction in liver enzymes (ALT, AST and ALP), total and direct bilirubin. Histology of the livers revealed absence or significant reductions in pathological features in the treated diabetic rats compared to untreated diabetic rats. The results show that the leaf extract and fractions of S. anomalum has antioxidative stress and hepatoprotective potentials which may be due to the antioxidant activities of their phytochemical constituents.