Research Perspectives Research Articles

Exploring the Views of Spanish Pre-Service Teachers on Phonics From a Quantitative Research Perspective

English is especially demanding for Spanish speakers due to the greater number of sounds, the complex letter-sound relationship, and prosodic features. English phonics programmes may offer clearer, more comprehensive instruction. 84 pre-service teachers completed a questionnaire on the use of phonics in Spanish EFL preschool and primary classrooms. Results show that specific training is needed, not all participants favour this method, and a more eclectic approach to early literacy is advocated.

EXPRESS: Conceptual Research: Multidisciplinary Insights for Marketing

Conceptual research is fundamental to advancing theory and, thus, science. Conceptual articles launch new research streams, resolve conflicting findings, explain new phenomena, and integrate divergent research areas. Yet, compared with other disciplines, marketing publishes little conceptual research. This paper provides a multidisciplinary perspective of conceptual research to help increase the quality and quantity of conceptual research in marketing. First, the authors compare conceptual research approaches across marketing, management, psychology, and sociology to provide a synthesis of existing conceptual research frameworks. Second, using citation analyses, the authors provide insights into the academic impact of conceptual research across disciplines, across marketing domains, and over time; they also assess its impact outside of academia. Third, to assist researchers, the paper offers a step-by-step process or “how to” guide for developing high-impact conceptual research, based on insights from the multidisciplinary analysis and interviews with conceptual researchers from different disciplines. Fourth, drawing on the interviews and keyword analysis of recent conceptual marketing articles, the authors suggest emerging opportunities for conceptual research and how to increase the value of conceptual papers for practitioners.

FAGOTERAPIA COMO ALTERNATIVA NO COMBATE A INFECÇÕES RESISTENTES: AVANÇOS E DESAFIOS NO TRATAMENTO DE E. COLI UPEC E EPEC

Resistant bacterial infections represent one of the biggest public health challenges today, resulting in a significant increase in morbidity and mortality linked to infectious diseases. On the other hand, Escherichia coli stands out as one of the most significant bacteria, particularly the uropathogenic (UPEC) and enteropathogenic (EPEC) variants. Infections caused by these strains have become a problem due to their ability to develop resistance to various antibiotics, thus harming therapeutic alternatives. The objective of this research was to investigate the effectiveness of phage therapy as an alternative in combating resistant bacterial infections, focusing on UPEC and enteropathogenic EPEC strains of Escherichia coli. Methodologically, it was an exploratory and comparative bibliographic review through qualitative research. As a result, it was found that future directions in phage therapy present a promising outlook, full of technological innovations, research needs and ethical considerations. The success of phage therapy as a viable alternative to treating resistant bacterial infections will depend on collaboration between different disciplines, careful consideration of ethical implications, and a commitment to ensuring that new technologies benefit society as a whole. The development of robust guidelines and regulations, along with increased public awareness, will be critical to the effective integration of phage therapy into clinical practice and public health. It was concluded that progress in this area represents a response to the bacterial resistance crisis, as it opens up new perspectives for biomedical research and clinical practice. Therefore, the continued engagement of researchers, health professionals and policy makers will be essential to ensure that phage therapy is established as an integral component in the fight against bacterial infections, benefiting public health in a broad and effective way.

Fraudulent Participation in Online Qualitative Studies: Practical Recommendations on an Emerging Phenomenon.

Fraudulent participation is defined in the following as participation in research by individuals who, for one reason or another, intentionally provide false responses. Qualitative studies are at an increased risk of fraudulent participation when online recruitment and participation are used, and monetary incentives offered. Fraudulent participation threatens data quality and subsequent evidence-based practice, yet validated guidance on how to tackle it is lacking. This paper offers a critical reflection thereon by three separate qualitative research groups that experienced fraudulent participation in collaboration with a patient representative, a bioethicist, a legal expert, a journal deputy editor, and a chief executive of a national charity. The Prevent FRaudulent Online STudy participation (P-FROST) recommendations provide advice on (1) Study set-up (including team members and study design), (2) Monetary incentives and recruitment, (3) Data collection (screening and interview considerations), and (4) Analysis, reporting, and support. The reflection which balances the diverse perspectives of patients, researchers, funders, ethics boards, and legal teams puts forward the P-FROST recommendations to identify and prevent fraudulent participation throughout the design, ethical approval, and implementation of online qualitative research.

Lessons Learned From Clinical Trials of Immunotherapeutics for COVID-19.

The COVID-19 pandemic caused by the SARS-CoV-2 virus was arguably one of the worst public health disasters of the last 100 years. As many infectious disease experts were focused on influenza, MERS, ZIKA, or Ebola as potential pandemic-causing agents, SARS-CoV-2 appeared to come from nowhere and spread rapidly. As with any zoonotic agent, the initial pathogen was able to transmit to a new host (humans), but it was poorly adapted to the immune environment of the new host and resulted in a maladapted immune response. As the host-pathogen interaction evolved, subsequent variants of SARS-CoV-2 became less pathogenic and acquired immunity in the host provided protection, at least partial protection, to new variants. As the host-pathogen interaction has changed since the beginning of the pandemic, it is possible the clinical results discussed here may not be applicable today as they were at the start of the pandemic. With this caveat in mind, we present an overview of the immune response of severe COVID-19 from a clinical research perspective and examine clinical trials utilizing immunomodulating agents to further elucidate the importance of hyperinflammation as a factor contributing to severe COVID-19 disease.

How feasible is nutrition intervention research in eating disorders? Lessons learnt from a pilot parallel randomised controlled trial of tyrosine supplementation in adolescents with anorexia nervosa.

Eating disorders are complex illnesses with high morbidity and mortality. Yet, there is promising evidence to support the effects of nutrition on the brain and behaviour. One proposed example is the use of tyrosine as an adjunct treatment in anorexia nervosa (AN). However, recruitment and retention in eating disorder clinical trials has posed difficulties for researchers. The aim of this study was to pilot test a parallel randomised controlled trial (RCT) of tyrosine supplementation to explore the feasibility of recruitment and retention, intervention adherence and data collection methods from the perspective of participants and researchers. Feasibility was assessed using numbers participating, questionnaire completion in patients and parent/carers completing and declining participation, a researcher implementation record and clinical measures. Subjects included adolescents aged 12-17 years with AN. The study was conducted over a 12-week period, with the intervention group receiving 5mg of L-tyrosine supplement and the control group receiving a placebo. Recruitment targets were not met and recruitment to a full RCT based on the current study protocol and recruitment sites did not prove feasible. Of the 39 approached for RCT participation, seven were recruited to the RCT (18% response rate) despite extending recruitment periods, with 100% retained and analysed. Patients or parents/carers identified barriers to study participation including burden, the need to consume tyrosine as tablets, and the use of blood, urine and psychological testing. Blood tyrosine rose markedly for subjects in the intervention group. No side effects were reported or measured. This study offers a unique exploration of the feasibility of a tyrosine trial in anorexia nervosa and is of relevance to assist the success of future nutrition trials. Exploring the suitability of future study designs for nutrition intervention research is warranted.

Exploring the Qualitative Experiences of Administering and Participating in Remote Research via Telephone Using the Montreal Cognitive Assessment-Blind: Cross-Sectional Study of Older Adults.

The COVID-19 pandemic caused a drastic shift in the practice of research and clinical services. It has been noted that cognition measured via in-person versus remote methods differ substantially, and it is possible that subjective and experiential differences exist between modalities. The aim of the study is to explore the perceptions of both researchers and older adult participants on the experience of remotely conducted research using a cognitive screener. We conducted a thematic analysis of the experience of engaging in remote research from both the participant (n=10) and researcher (n=4) perspectives. The research interaction was framed through teleadministration of the Montreal Cognitive Assessment-Blind (suitable for telephone administration) and administration of a subsequent semistructured debriefing interview. Participant perspectives were garnered during debriefing interviews, while researcher insights were collected via self-reported qualitative field notes completed following each research session. Data aggregated into themes of barriers and facilitators from the lenses of both participants and researchers. Participants noted facilitators including short instrument length, convenience, and presession contact; barriers included the length of the interaction, some tasks being more challenging on the phone, and the potential for participant dishonesty. Research assistants noted several facilitators: instrument length, rapport building, ability to prepare for and record sessions, and comfort with the protocol; barriers were items with too many response options, telephone issues (eg, response delays), and concerns about participant comprehension. These results suggest remote telephone-delivered cognitive screening tools as a feasible and acceptable method of research inquiry. The findings provide a starting point for the inclusion of diverse populations in research to capture underrepresented groups whose input would immensely benefit our understanding of remotely delivered cognitive screening measures. Further, we offer materials (eg, checklists), which can be used in future investigations to promote future inclusive research and increase generalizability.

Research perspectives of supply chain knowledge management: A bibliometrics study

The purpose of this article is to present a bibliometric analysis of scientific publications on knowledge management (KM) and supply chain (SC), provide an overview of research activities in this field and recognise its most substantial and fundamental aspects. In addition, this study aims to quantitatively analyse KM in SC in other words supply chain knowledge management (SCKM) research trends, forecasts and citations from 1999 to 2021 in Web of Science (WOS). A total of 499 documents related to SCKM research were collected from the following databases: SCI-EXPAND, SSCI, AHCI and ESCI. These documents were carefully reviewed and subjected to bibliometric data analysis techniques. We map the time trend, disciplinary distribution, high-frequency keywords and topics, major authors and influential publications to show emerging topics. Based on the findings of other researchers, many implications emerged that improve one’s understanding of the identity of SCKM as a distinct multi-discipline scientific field, and its publication has grown significantly since 2018. SC papers were published in engineering and Operations Research and Management Science journals, while the coverage of research topics related to KM and SCKM is broader and more interdisciplinary than those of SC papers. High-frequency keywords associated with SCKM research are listed. From the citation of 499 papers with both KM and SC as keywords, we find the most popular one.

The impact of energy structure on agricultural green productivity in China.

The agricultural development in China is currently grappling with the challenges of limited water and soil resources, environmental pollution, and ecosystem degradation. Therefore, improving agricultural green productivity has become the focus of academic attention. Based on the panel data of 30 provinces in China from 2008 to 2020, this paper constructs an index system of agricultural productivity. Subsequently, the super-efficiency SBM model is used to calculate the green productivity of agriculture, and its characteristics are analyzed from the perspectives of temporal and spatial.Through the empirical test of threshold model, it is found that China's agricultural green productivity shows a gradual growth trend from 2008 to 2020, and the growth rate has accelerated significantly in recent years. There is a non-linear relationship between energy structure and agricultural green productivity. Especially in areas with reasonable energy structure, the increase in the proportion of coal consumption will inhibit the improvement of green agricultural productivity. This paper suggests reducing dependence on fossil energy, improving market mechanism and optimizing resource utilization in order to promote green agricultural production in China. This study expands the research perspective of agricultural green productivity, provides new research methods and ideas for related fields, and provides a reasonable energy allocation plan for agricultural production, which helps to improve production efficiency and reduce costs.

Food and Waterborne Cryptosporidiosis from a One Health Perspective: A Comprehensive Review

A sharp rise in the global population and improved lifestyles has led to questions about the quality of both food and water. Among protozoan parasites, Cryptosporidium is of great importance in this regard. Hence, Cryptosporidium’s associated risk factors, its unique characteristics compared to other protozoan parasites, its zoonotic transmission, and associated economic losses in the public health and livestock sectors need to be focused on from a One Health perspective, including collaboration by experts from all three sectors. Cryptosporidium, being the fifth largest food threat, and the second largest cause of mortality in children under five years of age, is of great significance. The contamination of vegetables, fresh fruits, juices, unpasteurized raw milk, uncooked meat, and fish by Cryptosporidium oocysts occurs through infected food handlers, sewage-based contamination, agricultural effluents, infected animal manure being used as biofertilizer, etc., leading to severe foodborne outbreaks. The only Food and Drug Administration (FDA)-approved drug, Nitazoxanide (NTZ), provides inconsistent results in all groups of patients, and currently, there is no vaccine against it. The prime concerns of this review are to provide a deep insight into the Cryptosporidium’s global burden, associated water- and foodborne outbreaks, and some future perspectives in an attempt to effectively manage this protozoal disease. A thorough literature search was performed to organize the most relevant, latest, and quantified data, justifying the title. The estimation of its true burden, strategies to break the transmission pathways and life cycle of Cryptosporidium, and the search for vaccine targets through genome editing technology represent some future research perspectives.

Controlling Metal-Support Interactions to Engineer Highly Active and Stable Catalysts for COx Hydrogenation.

This perspective focuses on the modulation of metal-support interaction (MSI) in catalysts for COx hydrogenation, highlighting their profound impact on catalytic performance. Firstly, it outlines different strategies, including the use of highly reducible oxides and moderate reduction treatments, which induce the classical strong metal-support interaction (SMSI) effect and the electronic metal-support interaction (EMSI) effect. Morphology engineering and crystalline phase manipulation of oxides presented as effective methods to control EMSI are also discussed. The discrimination of SMSI and EMSI can be achieved using oxides with low encapsulation tendencies, such as ZrO2, which supports electronic modifications without or minimizing the overgrowth issues, optimizing the catalytic performance for methanation. Then, the synergy between Cu and ZnO in methanol synthesis, enhanced by SMSI, is emphasized inside. Optimizing support oxides to control oxygen vacancies enhances the catalytic performance of CO2 hydrogenation to methanol. Perspectives for the future research on the fundamental understanding of structure-MSI-performance relationship for catalyst design is discussed.

The CNN-LSTM-attention model for short term prediction of the polar motion

Abstract The accuracy of polar motion (PM) prediction significantly impacts the fields of coordinate frame transformation, satellite orbit determination, and deep space exploration. The present study develops two short term forecasting models based on the EOP 14C04 series. One hybrid approach incorporates convolutional neural networks (CNNs) and long short-term memory networks (LSTM), augmented with an attention mechanism; whereas another baseline model comprises CNN and LSTM. The first model, in contrast to the second model, incorporates an attention mechanism module for a more comprehensive integration of temporal information at each time step. In the initial short-term forecasting experiment, we conducted 360 repeated predictions, and the findings revealed that the parameters suitable for PMX forecasting may not necessarily be applicable to PMY forecasting. In the second experiment, the two models generated a total of 500 forecasts, each encompassing short-term predictions ranging from 1 to 30 d. The experimental results demonstrate that the first model exhibits mean absolute error (MAE) range of 0–7.72 mas for PMX and 0–4.73 mas for PMY, while the second model shows MAE range of 0–7.88 mas for PMX and 0–4.78 mas for PMY. After two exploratory experiments, we discovered the following results: the first model exhibits marginally superior predictive accuracy compared to the second model. Furthermore, this study substantiates the robustness of both models in short-term prediction and affirms the significance of assigning distinct weights to past temporal intervals in forecasting, thereby offering a novel perspective for PM prediction research.

Building: A Possibility for a Post-critical Perspective in Educational Research

Abstract The aim of this article is to give an example of how an exercise in post-critical educational research might be conceptualised. The example refers to an inquiry into building a public sphere around education in Poland. First, a post-critical approach in educational research is defined with reference to the two dominant perspectives of social research, namely the (neo)positivistic and the critical paradigm. Next, and following insights of Hannah Arendt and Jacques Rancière, the idea of building is presented in terms of the persistent introduction of a new beginning into a social reality through acting in line with an assumption (an axiom) that, from the point of view of critical knowledge about the current status quo, seems fictional (or impossible). Such a persistent verification of an impossible axiom aims at establishing a sphere of exception from the dominant social order, offering—through the ideas of Alain Badiou and Giorgio Agamben—a non-dialectical logic of social transformation. Finally, in conclusion the article focuses on the phenomenon of condensation as one of the key results of the exemplary research project analysed throughout the text. This points to the kind of knowledge that post-critical research projects are able to bring about.

DGTNet：dynamic graph attention transformer network for traffic flow forecasting

Abstract Graph-based traffic flow prediction plays a crucial role in urban traffic management and planning. In this paper, we propose a novel Dynamic Graph Attention Transformer Network (DGTnet), which is designed to address the issue of inadequately integrating of temporal and spatial dimensions in traditional models. DGTnet maintains temporal continuity while revealing the complex dynamic relationships between key nodes in the urban traffic system, capturing the periodic changes in the rhythm of city life. Specifically, this study adopts adaptive signal decomposition technology to decompose traffic data into multiple intrinsic mode functions (IMFs), effectively capturing the dynamic changes in traffic flow. This decomposition method is key to the implementation of DGTnet dynamic graph construction, enabling the analysis of traffic flow at different time scales, thereby providing a new perspective for traffic flow prediction research. In the traffic prediction module, we comprehensively consider node, edge, and graph structural information, adopting a multi-head self-attention mechanism to achieve direct cross-modeling in both temporal and spatial dimensions. Finally, we introduce a position-wise feed forward network layer to integrate different types of data and capture nonlinear relationships. The experimental results, based on the public transportation network data sets METR_LA, PEMS_BAY, PEMS03 and PEMS07, demonstrate that DGTNet exhibits notable enhancements in three evaluation indicators, namely the Mean Absolute Percentage Error (MAPE), the Root Mean Square Error (RMSE) and the Mean Absolute Error (MAE). The pertinent code has been made available for public access at https://github.com/chenjing0616/DGTNet.

Waste, the real villain: a comprehensive analysis and prospective perspective on food loss and waste in China

IntroductionOne of the best ways to ensure food security is to reduce Food Loss and Waste (FLW). However, China still confronts numerous obstacles in food loss and waste study because of the intricate industrial chain, the wide range of accounting standards, and a lack of data, among other reasons.MethodsUsing the literature analysis method, 119 literatures were collected and analyzed to examine the current status of FLW in China at various stages after food production and throughout the life cycle from the perspectives of time series and research areas.ResultsThe study indicates that the rates of FLW in China have been higher than 20% in recent years and are still increasing. Among them, the highest FLW rates were found in the harvesting stage (3–6%), storage stage (8–10%) and consumption stage (10–17%). In addition, FLW results in a huge waste of resource endowments.DiscussionThe environment and resources are profoundly affected by these substantial food losses and wastes, leading to unnecessary depletion of resources. As China’s focus on food loss and waste intensifies, an increasing number of academics are expected to delve into this area, exploring dimensions such as ecological footprint assessment, innovative uses for food waste, and gathering primary data.

Exact solutions of a class of generalized nanofluidic models

Abstract Nanofluid, a significant branch of fluid mechanics, plays a pivotal role in thermal management, optics, biomedical engineering, energy harvesting, and other fields. The nanoparticles present in the fluid render the continuum mechanics ineffective, necessitating the adoption of fractional calculus to elucidate the effects of nanoparticles on the motion properties of the nanofluid. This article applies the modified extended tanh-function technique to solve two classical Schrödinger equations, the fractional Phi-4 model and the conformable fractional Boussinesq model, for nanofluids. Multiple exact solutions are obtained, and the corresponding graphical representations are provided to elucidate the basic properties of the nanofluid. This article provides new research perspectives for the development of nanofluids.

Three-Dimensional Semiconductor Network as Regulators of Energy Metabolism Drives Angiogenesis in Bone Regeneration.

Insufficient vascularization is a primary cause of bone implantation failure. The management of energy metabolism is crucial for the achievement of vascularized osseointegration. In light of the bone semiconductor property and the electric property of semiconductor heterojunctions, a three-dimensional semiconductor heterojunction network (3D-NTBH) implant has been devised with the objective of regulating cellular energy metabolism, thereby driving angiogenesis for bone regeneration. The three-dimensional heterojunction interfaces facilitate electron transfer and establish internal electric fields at the nanoscale interfaces. The 3D-NTBH was found to noticeably accelerate glycolysis in endothelial cells, thereby rapidly providing energy to support cellular metabolic activities and ultimately driving angiogenesis within the bone tissue. Molecular dynamic simulations have demonstrated that the 3D-NTBH facilitates the exposure of fibronectin's Arg-Gly-Asp peptide binding site, thereby regulating the glycolysis of endothelial cells. Further evidence suggests that 3D-NTBH promotes early vascular network reconstruction and bone regeneration in vivo. The findings of this research offer a promising research perspective for the design of vascularizing implants.

One Health bottom-up analysis of the dissemination pathways concerning critical priority carbapenemase- and ESBL-producing Enterobacterales from storks and beyond.

'One Health' initiatives to tackle the rising risk of antimicrobial resistance (AMR) have flourished due to increasing detection of Enterobacterales producing extended-spectrum beta-lactamases (ESBLs) and carbapenemases (CPs). This study aimed to conduct an in-depth holistic analysis of Escherichia coli (Ec) and Klebsiella pneumoniae (Kp) isolates recovered from landfill-foraging white stork faecal samples and clinical isolates from a nearby hospital. Faecal samples (n = 211) were collected from storks foraging at two landfills in Spain. Ec/Kp stork isolates were recovered on selective media and whole-genome sequencing (WGS), together with isolates obtained from the nearby hospital. These genomic data were compared with public genomes from different contexts (clinical, environmental, or animal hubs) to understand global transmission dynamics. A wide range of blaESBL/blapAmpC (blaCTX-M/blaSHV-12/blaDHA) were detected in 71 stork samples (33.6%), while blaCP (blaKPC/blaNDM/blaOXA-48/blaVIM) were identified in 28 (13.3%) samples. Clonal and plasmid transmissions were evidenced inside and between both landfills. Mapping against 10 624 public Ec/Kp genomes and from those of nearby hospital revealed that identical strains (<10 allelic differences with Ec-ST38/ST131 and Kp-ST512 lineages) and epidemic plasmids (full identity/coverage with IncN/blaKPC-2, IncF/blaKPC-3, IncX3/blaNDM-7, IncL/blaOXA-48) were found from clinical isolates in countries located along the storks' migration routes. Storks may be contaminated by bacterial isolates from a likely human origin and become non-human reservoirs of critical genes, which can be dispersed over long distances. Identifying strains/plasmids along the stork's routes that are identical or closely related to those described here opens new perspectives for large-scale research to understand the AMR transmission dynamics.

INNV-33. ADVANCING PRECISION TREATMENT FOR DIFFUSE MIDLINE GLIOMA: THE DMG LEARNING HUB INITIATIVE

Abstract Diffuse Midline Glioma (DMG) poses a significant challenge in neuro-oncology due to its heterogeneous presentation and limited therapeutic options. Clinical trials often serve as the primary avenue for treatment, yet families encounter numerous barriers in navigating and selecting appropriate trials. Health disparities, including disparities in medical literacy and access to specialized medical centers, further complicate decision-making processes. Existing registries lack comprehensive data integration, focusing on isolated perspectives of either research or clinical data, neglecting the holistic patient profile. Evaluation of treatment endpoints beyond Progression-Free Survival (PFS) and Overall Survival (OS) remain inconsistent, despite being a priority for families. The DMG Learning Hub emerges as a transformative platform designed to empower families by offering informed options and guidance while fostering a collaborative environment where patient families actively contribute to shaping the landscape of clinical trials. Leveraging AI-assisted matching, the platform assists families in navigating the complex decision-making process surrounding clinical trial participation. The inclusion of a patient-reported outcome journal feature enables families to track vital information such as symptom changes and supplement usage, with autonomy over the timing of shared data. Using real-time data sharing facilitates invaluable insights for researchers, bridging gaps that would otherwise be overlooked and enriching the collective understanding of DMG. Harmonizing molecular, imaging, and clinical data within the platform equips care teams with comprehensive, near-real-time information crucial for personalized treatment strategies. This integrated approach not only supports the inclusion of n-of-1 arms in current trials but also extends therapeutic opportunities to patients previously ineligible for studies due to specific disease markers or progression patterns. The DMG Learning Hub represents a significant stride towards precision oncology by synergizing patient-centric priorities with cutting-edge technology, integrating harmonized data, and fostering collaborative efforts, the initiative heralds a promising era of personalized treatment for DMG and beyond the neuro-oncology community.

Human papillomavirus and male infertility correlation analysis following World Health Organization 2021 guidelines

Male infertility is a complex issue influenced by multiple environmental and pathological factors. In this context, the impact of Human papillomavirus (HPV) infection on male fertility remains controversial. The introduction of new WHO 2021 evaluation criteria, included in the 6th ed. of Laboratory Manual for the examination and processing of human semen, i.e. DNA fragmentation index (DFI), slow and rapid progressive motility, could provide additional information about this correlation. 121 semen samples of male partners of HPV-positive women attending In Vitro Fertilization (IVF) were evaluated following WHO 2021 and HPV-DNA test. Comparing HPV-negative and positive samples for rapid and slow progressive motility showed significantly different results (p = 0.0018, p = 0.0004), contrary to what was observed for total progressive motility. Regarding sperm DFI, only high-risk HPV infections affected DNA integrity. In addition, the correlation between the different semen parameters revealed a significant correlation between midpiece morphological defects and rapid progressive motility in the HPV-positive group (rho = 0.43, p = 0.0006). In conclusion, WHO 2021 provides additional information regarding HPV’s impact on seminal parameters. The correlation between HPV positivity, midpiece defects and a higher rapid progressive motility opens new research perspectives that may help unravel the issues surrounding the role of HPV in compromising sperm quality.