Successive Generations Research Articles

Advancing Our Understanding of Eddy-driven Jet Stream Responses to Climate Change – A Roadmap

Abstract Purpose of Review Extratropical jets and associated storm tracks significantly influence weather and regional climate across various timescales. Understanding jet responses to climate change is essential for reliable regional climate projections. This review serves two main purposes: (1) to provide an accessible overview of extratropical jet dynamics and a comprehensive examination of current challenges and uncertainties in predicting jet responses to greenhouse gas increases and (2) to suggest innovative experiments to advance our understanding of these responses. Recent Findings While successive generations of climate model ensembles consistently project a mean poleward shift of the midlatitude zonal-mean maximum winds, there remains considerable intermodel spread and large uncertainty across seasonal and regional jet responses. Of particular note is our limited understanding of how these jets respond to the intricate interplay of multiple concurrent drivers, such as the strong warming in polar and tropical regions, and the relative importance of each factor. Furthermore, the difficulty of simulating processes requiring high resolution, such as those linked to sharp sea surface temperature gradients or diabatic effects related to tropical convection and extratropical cyclones, has historically hindered progress. Summary We advocate for a collaborative effort to enhance our understanding of the jet stream response to climate change. We propose a series of new experiments that take advantage of recent advances in computing power and modelling capabilities to better resolve small-scale processes such as convective circulations, which we consider essential for a good representation of jet dynamics.

Belief Formation: A Cultural Evolutionary Lens

This paper investigates changes in belief and their evolution in relation to the paradigm of cultural evolution. It underlines the interaction of the environmental factor with the social dynamic. The model proposed herein is extremely widespread and involves the creation, maintenance, and diffusion of beliefs that afford a perspective on how such processes influence individual and collective psychological constructs. By synthesizing theories in the fields of biology, anthropology, and psychology, this research will argue that cultural evolution is one key mechanism able to explain both diversity and variability in human belief. The examination suggests that beliefs cannot be cast solely as some sort of passive variant of personal cognition; instead, they are actively generated by cultural dynamics and social learning techniques such as imitation and instruction. It is a book that places more emphasis on the role of political ideology in accepting scientific evidence and shows how directed reasoning leads to the perpetuation of noxious beliefs. It then investigates transfer biases supporting the reproduction of cultural traits across successive generations, hence affecting social structure and any effort of cooperation. This may lead to a nuanced grasp of how beliefs can be advantageous or disastrous, considering the prevailing social structures and ecology within which they live. Based on the wealth of research regarding under what circumstances beliefs arise and spread, this paper examines from a critical perspective psychological processes of belief systems and what they might portend for human behavior and social organization.

Morphological and genetic characterization of mutants of Gladiolus cultivar prince of orange for two successive vegetative generations

Gladiolus mutants developed using gamma irradiations and EMS treatments were characterized using morphological, genetic and Polymerase Chain Reactions (PCR) based Inter-Simple Sequence Repeats (ISSR) for designing future breeding strategies. As many as 7 mutants based on phenotypic variations such as colour and shape modifications were subjected to molecular characterization using 11 ISSR primers that confirmed variations. ISSR markers showed 13.88 to 36.00 percent polymorphism among the mutants was recorded, signifying variability among different mutants. UPGMA (unweighted pair group method with arithmetic mean) based analysis of cluster separated gladiolus variety prince of orange mutants into four clusters. ISSR markers were subjected for comparative analysis like effective multiplex ratio, marker index, polymorphic information content and resolving power wherein, highest EMR (3.24), MI (1.32) were found for UBC 810, Rp (4.37) values were found for UBC 827, and maximum PIC value (0.46) for ISSR 22218 UBC 812. The results clearly indicated the reproducibility of ISSRs and their ability to detect variability among the mutants. A significant level of genetic variation was depicted by ANOVA which suggested the usefulness of studies in gladiolus breeding and unique bands obtained could be utilized for mutant/ varietal identification.

750 nm laser based on an BaGa4Se7 optical parametric oscillator

The red edge effect of plants is extensively utilized in vegetation remote sensing, particularly by applying hyperspectral LiDAR (HSL) technology. This technology effectively captures spectral information from targets together with range measurements by processing recorded waveforms in the red-edge spectral bands. Despite its widespread use, there is still potential for enhancing the tuning accuracy and the energy output of each channel. What we believe to be a novel nonlinear crystal, BaGa4Se7 (BGSe), has been employed to achieve laser output in the red edge spectral band with a wide tuning range and high tuning precision for the first time. Successful generation of laser radiation at 1512 nm was achieved, with an angular tuning resolution of 35.9 nm/°. When the pump light energy was 17.81 mJ, the energy of the 1512 nm near-infrared laser was 3.210 mJ, with a slope efficiency of 31.2% and an optical-to-optical conversion efficiency (pump to signal) of 18.0%. Subsequent pumping of the second harmonic generation crystal KTiOPO4 (KTP) with the 1512 nm laser output from the BGSe optical parametric oscillator (OPO) facilitated the generation of 756 nm red light laser output. Angle tuning of the BGSe OPO eventually enabled the tunable output of the red edge spectral laser ranging from 701 nm to 780 nm with output energy of approximately 2 mJ, which is several orders of magnitude higher than traditional supercontinuum laser source solution. Such improvement becomes a solid cornerstone for long-range HSL applications.

Antibody Modification via Lipoic Acid Ligase A-Mediated Site-Specific Labeling.

Enzymatic modification, particularly utilizing lipoic acid ligase (LplA), has emerged as a transformative approach in biopharmaceuticals, enabling precise and site-specific protein modifications. This review delves into the innovative applications of LplA in antibody modifications, including the creation of antibody-drug conjugates (ADCs) and the advancement of tag-free conjugation techniques. LplA's ability to facilitate the incorporation of bioorthogonal groups and its adaptability to various substrates underscores its versatility. Key developments include the successful generation of dual-labeled antibodies and the application of LplA in modifying antibody fragments. Additionally, the review explores the potential for LplA to enhance the therapeutic efficacy of ADCs through improved drug-to-antibody ratios and site-specific payload attachment. The implications of these advancements are significant, suggesting that LplA-mediated modifications could lead to more effective and targeted antibody-based therapies. This review aims to provide a comprehensive overview of LplA's role in expanding the possibilities of enzymatic conjugation, setting the stage for future research and clinical applications.

Frontiers in CAR-T Cell Therapy: Current Applications and Future Directions

CAR-T cell therapy, an ascending star in the immunotherapy landscape, harnesses the patient's innate immune defenses to confront cancer and a spectrum of hematologic disorders, while also exhibiting promising avenues for application in other maladies. This comprehensive review delves into the fundamental mechanisms of CAR-T cell therapy, the evolution and design strategies of successive generations of CAR-T cells, as well as the advancements and clinical implementations achieved in treating a diverse array of diseases.

Analysis of the winter oilseed rape recombination landscape suggests maternal-paternal bias.

Recombination, the reciprocal exchange of DNA between homologous chromosomes, is a mandatory step necessary for meiosis progression. Crossovers between homologous chromosomes generate new combinations of alleles and maintain genetic diversity. Due to genetic, epigenetic, and environmental factors, the recombination landscape is highly heterogeneous along the chromosomes and it also differs between populations and between sexes. Here, we investigated recombination characteristics across the 19 chromosomes of the model allopolyploid crop species oilseed rape (Brassica napus L.), using two unique multiparental populations derived from two genetically divergent founder pools, each of which comprised 50 genetically diverse founder accessions. A fully balanced, pairwise chain-crossing scheme was utilized to create each of the two populations. A total of 3213 individuals, spanning five successive generations, were genotyped using a 15K SNP array. We observed uneven distribution of recombination along chromosomes, with some genomic regions undergoing substantially more frequent recombination in both populations. In both populations, maternal recombination events were more frequent than paternal recombination. This study provides unique insight into the recombination landscape at chromosomal level and reveals a maternal-paternal bias for recombination number with implications for breeding.

Sonochemical preparation of powerful S-scheme Zr(HPO4)2/g-C3N4 heterojunction for photocatalytic degradation of rhodamine B under natural solar radiations

An effective Zr(HPO4)2/g-C3N4 S-scheme heterojunction was synthesized by sonochemical coupling of Zr(HPO4)2 nanoparticles as an oxidative photocatalyst [EVB = +3.0 eV] with g-C3N4 nanosheets as an effective reductive photocatalyst [ECB = −1.25 eV] for photocatalytic degradation of rhodamine B dye under natural solar radiation of 1000 W power. The physicochemical properties of the as-synthesized heterojunctions were investigated by X-ray diffraction [XRD], N2-adsorption-desorption isotherm, diffuse reflectance spectrum [DRS], photoluminescence [PL], scanning electron microscope [SEM], X-ray photoelectron spectroscope [XPS], and high resolution transmission electron microscope [HRTEM]. The experimental results implied the agglomeration of Zr(HPO4)2 nanoparticles on g-C3N4 sheets which reduced the specific surface area of the solid specimen from 88 to 21 m2/g. The significant increase in the photocatalytic degradation rate of RhB dye with introducing Zr(HPO4)2 nanoparticles implied that Zr(HPO4)2 plays a crucial role in reducing the band gap energy and remarkable increasing in the rate of electron-hole separation. The photocatalytic experiments implied that incorporation of 5 wt% Zr(HPO4)2 on g-C3N4 sheets destroyed 98 % of RhB dye during 3 h of light illumination with pseudo-first-order rate of 0.048 min−1. The remarkable enhancement in the photocatalytic performance of Zr(HPO4)2/g-C3N4 heterojunctions was ascribed to successful generation of an effective S-scheme heterojunction with strong redox power, utilizing of both hydroxyl and superoxide radicals in the degradation process and limiting the electron-hole recombination rate. Based on scavenger experiments and terephthalic acid PL analysis, the S-scheme pathway was chosen as the proposed mechanism for photocatalytic charge transfer. The as-synthesized Zr(HPO4)2/g-C3N4 heterojunction with exceptional redox power is considered a novel candidate for destructing organic pollutants that exist in industrial wastewater.

Neutronics Analysis on High-Temperature Gas-Cooled Pebble Bed Reactors by Coupling Monte Carlo Method and Discrete Element Method

The High-Temperature Gas-Cooled Pebble Bed Reactor (HTG-PBR) is notable in the advanced reactor realm for its online refueling capabilities and inherent safety features. However, the multiphysics coupling nature of HTG-PBR, involving neutronic analysis, pebble flow movement, and thermo-fluid dynamics, creates significant challenges for its development, optimization, and safety analysis. This study focuses on the high-fidelity neutronic modelling and analysis of HTG-PBR with an emphasis on achieving an equilibrium state of the reactor for long-term operations. Computational approaches are developed to perform high-fidelity neutronics analysis by coupling the superior modelling capacities of the Monte Carlo Method (MCM) and Discrete Element Method (DEM). The MCM-based code OpenMC and the DEM-based code LIGGGHTS are employed to simulate the neutron transport and pebble movement phenomena in the reactor, respectively. To improve the computational efficiency to expedite the equilibrium core search process, the reactor core is discretized by grouping pebbles in axial and radial directions with the incorporation of the pebble position information from DEM simulations. The OpenMC model is modified to integrate fuel circulation and fresh fuel loading. All of these measures ultimately contribute to a successful generation of an equilibrium core for HTG-PBR. For demonstration, X-energy’s Xe-100 reactor—a 165 MW thermal power HTG-PBR—is used as the model reactor in this study. Starting with a reactor core loaded with all fresh pebbles, the equilibrium core search process indicates the continuous loading of fresh fuel is required to sustain the reactor operation after 1000 days of fuel depletion with depleted fuel circulation. Additionally, the model predicts 213 fresh pebbles are needed to add to the top layer of the reactor to ensure the keff does not reduce below the assumed reactivity limit of 1.01.

Safety Aspects of Sodium-Ion Batteries: Prospective Analysis from First Generation Towards More Advanced Systems

After an introductory reminder of safety concerns pertaining to early rechargeable battery technologies, this review discusses current understandings and challenges of advanced sodium-ion batteries. Sodium-ion technology is now being marketed by industrial promoters who are advocating its workable capacity, as well as its use of readily accessible and cheaper key cell components. Often claimed to be safer than lithium-ion cells, currently only limited scientifically sound safety assessments of sodium-ion cells have been performed. However, the predicted sodium-ion development roadmap reveals that significant variants of sodium-ion batteries have entered or will potentially enter the market soon. With recent experiences of lithium-ion battery failures, sodium-ion battery safety management will constitute a key aspect of successful market penetration. As such, this review discusses the safety issues of sodium-ion batteries, presenting a twofold innovative perspective: (i) in terms of comparison with the parent lithium-ion technology making use of the same working principle and similar flammable non-aqueous solvent basis, and (ii) anticipating the arrival of innovative sub-chemistries at least partially inspired from successive generations of lithium-ion cells. The authors hope that the analysis provided will assist concerned stakeholders in the quest for safe marketing of sodium-ion batteries.

A History of Polymyalgia Rheumatica: A Narrative Review.

Polymyalgia rheumatica (PMR) is characterised by stiffness and pain in the shoulders, hips, and neck and presents most commonly in the eighth decade. It can coexist with giant cell arteritis and the two diseases may share some pathophysiological mechanisms. This narrative review considers present-day ideas about PMR in a historical context, from the first names and descriptions of this disease entity, via successive generations of classification criteria sets, and finally to implications for clinical diagnosis. The characteristic distribution of musculoskeletal inflammation in PMR, and its relationship to vasculitic and synovitic diseases, have framed the way that PMR is described, classified, diagnosed and treated. A response to glucocorticoids is not specific to PMR and so it is important for rheumatologists to support general practitioners in making a definite diagnosis. Multi-stakeholder collaboration will improve current pathways for fast, accurate diagnosis and safe and effective treatment.

Examining the Effect of Parents on Children’s Career Choices in the Context of Class Positions

This article delves into the social mobility strategies employed by parents and their descendants from diverse social classes in structuring educational pathways and vocational choices across successive generations. The study relies on qualitative data from in-depth interviews conducted in Ankara with 24 parents and 18 offspring. Data analysis reveals that the strategies parents and their offspring embrace are intricately shaped by their social class positions and the cultural, social, and economic capital available to the latter. Labourer families grappling with cultural capital limitations exhibit constrained guidance to their offspring. In contrast, self-employed professional families actively deploy their comprehensive cultural capital to perpetuate privileged class positions across generations. Business owners or commercial entrepreneurs, characterised by a distinctive outlook, view education as a pathway to attain heightened social status rather than as a means of upward mobility. To address the inequalities uncovered in this research, establishing counselling centres for families to guide how to mentor their children and for the children themselves to facilitate the discovery of their abilities and interests could offer a solution toward mitigating these inequalities.

Dentatorubral–Pallidoluysian Atrophy (DRPLA) in Three Successive Generations with Anticipation in an Indian Family

Dentatorubral–Pallidoluysian Atrophy (DRPLA) in Three Successive Generations with Anticipation in an Indian Family

An efficient and easy-to-use protocol for induction of haploids in cucumber through parthenogenic embryo development

BackgroundCucumber (Cucumis sativus L.) is a model crop to study cell biology, including the development of haploids and doubled haploids in vegetable crops. In plant breeding, haploid and doubled haploids are valuable tools for developing pure homozygous inbred lines and accelerating genetic progress by reducing the time required for breeding cycles. Besides, the haploids are also valuable in genomic studies. We are reporting the induction of haploids in cucumber involving gynoecious and parthenocarpic genotypes for the first time. This study aimed to assess the efficient induction of haploids through pollination with gamma-irradiated pollen in cucumber. The effect of gamma irradiation dose on pollen viability and germination, fruit setting percentage, seed development, and haploid embryo development in cucumber hybrid genotypes were studied in detail. The goal was to utilize this information to produce haploid plants for genomics and transformation works in this model vegetable crop.ResultsPollination was done on six cucumber genotypes using varying doses of gamma rays (100, 200, 300, 400, and 500 Gy). Genotypes, doses of irradiation, and embryo developmental stage influenced the successful generation of in-vitro haploid plants. The optimal timeframe for embryo rescue was found to be 25 to 30 days after pollination. Haploid embryos were effectively induced using irradiated pollen at 400 to 500 Gy doses. Parthenogenetic plantlets were analyzed, and their ploidy level was confirmed through stomatal physiology, cytology (mitosis), and flow cytometry methods.ConclusionThrough parthenogenic embryo development, it is possible to induce a large number of haploids in cucumber. This technique’s power lies in its ability to streamline the breeding process, enhance genetic gain, and produce superior cultivars that contribute to sustainable agriculture and food security.

Heat Stress Inhibits Pollen Development by Degrading mRNA Capping Enzyme ARCP1 and ARCP2.

Pollen development and germination are critical for successful generation of offspring in plants, yet they are highly susceptible to heat stress (HS). However, the molecular mechanism underlying this process has not been fully elucidated. In this study, we highlight the essential roles of two mRNA capping enzymes, named Arabidopsis mRNA capping phosphatase (ARCP) 1 and 2, in regulating male and female gamete development. The transmission efficiencies of gametes carrying arcp1 arcp2 from arcp1+/- arcp2-/- and arcp1-/- arcp2+/- mutants are 30% and zero, respectively. These mutants exhibited a significant increase in misshaped pollen, with germination rates approximately half of those in wild type. ARCP1/2 exhibit RNA triphosphatase and RNA guanylyltransferase activities, which are required for proper pollen development. Through RNA-seq analysis, genes involved in pollen development/germination and HS response were identified as downregulated genes in pollen from arcp1+/- arcp2-/- mutant. Furthermore, ARCP2 protein is degraded under HS condition, and inducing the expression of ARCP2 can increase the pollen germination rate under elevated temperature. We propose that HS triggers the degradation of mRNA capping enzymes, which in turn disrupts the transcriptome that required for pollen development and pollen germination and ultimately leads to male sterility.

Viral coexistence and insertional mutations in the ORF8 region of SARS-CoV-2: A possible mechanism of nucleotide insertion

The virus obtained from a swab sample ID: S66 in Hiroshima was reported to have a single T-base insertion in the ORF8 coding region. However, no T insertion was observed when we determined the genomic sequence using another method. We then extracted RNA from the S66 swab sample and sequenced the insertion site using the Sanger method. The resulting waveform was disrupted beyond the insertion site, suggesting the presence of a mixed population of viruses with different sequences. Through plasmid cloning of RT-PCR amplification fragments and virus cloning by limiting dilution, along with TIDE analysis to determine the ratio of components from the Sanger sequencing waveform, it was confirmed that the sample contained a mixture of viruses with varying numbers of T-base insertions. The virus with one T insertion (T1+) was predominant in 70–75 % of the genomes, and genomes with T0, T2+, T3+, T4+, and T5+ were also detected. No T-base insertion mutations were observed in the ORF8 region in three other SARS-CoV-2 samples. In the S66 sample, a C27911T point mutation near the insertion site in the ORF8 region resulted in a sequence of seven or more consecutive T bases, which was the cause of the T-base insertion. When the cloned S66 virus (T1+) was passaged in cultured cells, there was a tendency for viruses with more insertion bases to become dominant with successive generations, suggesting that the T-base insertion was due to polymerase stuttering. The insertion of T bases resulted in synthesis of deletion mutants of the ORF8 protein, but no significant change was observed in the proliferation of the viruses in cultured cells. A search of the GenBank database using NCBI BLAST for viruses similar to S66 with T-base insertion mutations revealed hundreds of viruses widely distributed on the molecular phylogenetic tree. These base insertion viruses were thought to have occasionally arisen during the virus infection process. This study suggests one mechanism of insertion mutations in SARS-CoV-2, and it is important to consider the emergence of future mutant strains.

Alternating between even and odd ploidy levels switches on and off the recombination control, even near the centromeres.

Meiotic recombination is a key biological process in plant evolution and breeding, as it generates genetic diversity in each generation through the formation of crossovers (COs). However, due to their importance in genome stability, COs are highly regulated in frequency and distribution. We previously demonstrated that this strict regulation of COs can be modified, both in terms of CO frequency and distribution, in allotriploid Brassica hybrids (2n = 3x = 29; AAC) resulting from a cross between Brassica napus (2n = 4x = 38; AACC) and Brassica rapa (2n = 2x = 20; AA). Using the recently updated B. napus genome now including pericentromeres, we demonstrated that COs occur in these cold regions in allotriploids, as close as 375 kb from the centromere. Reverse transcription quantitative PCR (RT-qPCR) of various meiotic genes indicated that Class I COs are likely involved in the increased recombination frequency observed in allotriploids. We also demonstrated that this modified recombination landscape can be maintained via successive generations of allotriploidy (odd ploidy level). This deregulated meiotic behavior reverts to strict regulation in allotetraploid (even ploidy level) progeny in the second generation. Overall, we provide an easy way to manipulate tight recombination control in a polyploid crop.

Age and Gender-based Sociolinguistic Differences in Naming Patterns among Bedouin Communities in Jordan

Objectives: This study aimed to examine and reveal the sociolinguistic implications of personal male names used in the Jordanian Bedouin community as incarnated in the Bani Saker tribe. The study also aimed to trace the changes that occurred to naming patterns in three successive generations: sons, fathers and grandfathers. Male-naming of Jordan represented by the Bani Sakhar tribe. It aims at revealing the sociolinguistic implications of the names and differences in naming patterns throughout three successive generations (sons, fathers, and grandfathers). Based on a previous study conducted by the researcher on female names, this study also attempts to highlight the gender- specific differences in naming among this community. Method: The researcher carried out an in-depth analysis of 300 full names of school male students obtained from 20 male schools affiliated with Al- Muwaqqar Directorate of Education. This sample was selected by drawing 15 names from each school. Then, the names were divided into 3 categories (sons, fathers, and grandfathers) and grouped into several classifications according to their sociolinguistic implications. Results: The study results showed that the names given to males through the three generations underwent some changes on the level of their sociolinguistic implications as well the level of the motive behind their selection of names. It also showed that naming in each generation had different backgrounds; that naming among this tribe has experienced some shift away from traditional Bedouin names in favor of modern names. For example, 34.7% of the grandfathers' names constituted Bedouin-exclusive names compared to 9.6% and only 2% of the fathers and sons’ names, respectively. As for the gender specific differences, results revealed some commonalities regarding certain aspects as well as significant differences in other aspects. The Bedouin exclusive names, for example, accounted for 69% of the grandmothers’ names compared to 34.6% of the grandfathers’ category. Conclusions: The study highlights the strong affinity between the lifestyle change of Bedouin communities and the naming patterns in those communities. It also suggests that gender plays a considerable role in naming conventions.

If it ain’t broke, should you still fix it? Effects of incorporating user feedback in product development on mobile application ratings

How can firms utilize collective user feedback in reviews to better tailor their products to improve customer satisfaction? Based on an automated text analysis of 1,075,704 reviews and a content analysis of 3255 mobile application updates, observed over 460 apps’ first year on the market, this paper investigates the role of collective user feedback on user ratings during the process of developing successive mobile app generations. The results reveal that the rewards associated with responding to user feedback and the penalties due to ignoring this feedback can be substantial. The impact of the match/mismatch between user feedback and product development decisions depends on the topic of the feedback and the timing of the update. The findings provide app developers with guidance on the challenge of prioritizing possible development paths: (1) improve ratings by promptly matching user feedback that require new content or smooth functioning of the app; (2) avoid rating penalties by continuously improving existing content or ensuring compatibility with most recent operating systems and devices. The implications shed light on the fundamental question of whether and when to pro-act on or re-act to the voice of the customer.

Proof-of-Trusted-Work: A lightweight blockchain consensus for decentralized IoT networks

Traditional Internet of Things (IoT) architectures that rely on centralized servers for data management and decision-making are vulnerable to security threats and privacy leakage. To address this issue, blockchain has been advocated for decentralized data management in a tamper-resistance, traceable, and transparent manner. However, a major issue that hinders the integration of blockchain and IoT lies in that, it is rather challenging for resource-constrained IoT devices to perform computation-intensive blockchain consensuses such as Proof-of-Work (PoW). Furthermore, the incentive mechanism of PoW pushes lightweight IoT nodes to aggregate their computing power to increase the possibility of successful block generation. Nevertheless, this eventually leads to the formation of computing power alliances, and significantly compromises the decentralization and security of BlockChain-aided IoT (BC-IoT) networks. To cope with these issues, we propose a lightweight consensus protocol for BC-IoT, called Proof-of-Trusted-Work (PoTW). The goal of the proposed consensus is to disincentivize the centralization of computing power and encourage the independent participation of lightweight IoT nodes in blockchain consensus. First, we put forth an on-chain reputation evaluation rule and a reputation chain for PoTW to enable the verifiability and traceability of nodes' reputations based on their contributions of computing power to the blockchain consensus, and we incorporate the multi-level block generation difficulty as a rewards for nodes to accumulate reputations. Second, we model the block generation process of PoTW and analyze the block throughput using the continuous time Markov chain. Additionally, we define and optimize the relative throughput gain to quantify and maximize the capability of PoTW that suppresses the computing power centralization (i.e., centralization suppression). Furthermore, we investigate the impact of the computing power of the computing power alliance and the levels of block generation difficulty on the centralization suppression capability of PoTW. Finally, simulation results demonstrate the consistency of the analytical results in terms of block throughput. In particular, the results show that PoTW effectively reduces the block generation proportion of the computing power alliance compared with PoW, while simultaneously improving that of individual lightweight nodes. This indicates that PoTW is capable of suppressing the centralization of computing power to a certain degree. Moreover, as the levels of block generation difficulty in PoTW increase, its centralization suppression capability strengthens.