Real Situations Research Articles

Can Contextual Teaching and Learning (CTL) Revolutionize Cadets’ Speaking Skills in Maritime English?

Effective English communication is vital in the global maritime industry. Maritime English, a branch of English for Specific Purposes (ESP), addresses the needs of maritime professionals. Contextual Teaching and Learning (CTL) uses real-life scenarios, making it ideal for vocational training. This means practicing real shipboard situations for maritime cadets, leading to effective learning. This study investigates the effectiveness of Contextual Teaching and Learning (CTL) on cadets’ speaking skills when learning English for Specific Purposes (ESP) instructional materials. The study applied a quasi-experimental method with a nonequivalent group design, involving 48 cadets from the deck study program at the Merchant Marine Polytechnic of Makassar, Indonesia. The results indicate a significant improvement in the pretest-posttest scores, analyzed using a statistical test with the prerequisite data being normally distributed. The hypothesis test results, with a significance value of 0.000, confirm that there were differences in the speaking skills of the cadets at the Merchant Marine Polytechnic of Makassar after applying the CTL model in English for Specific Purposes (ESP) instructional materials. The findings highlight that the CTL model positively impacts and optimally influences the teaching and learning process in speaking skills when cadets learn ESP materials. This approach increases cadets' confidence and encourages them to be active learners based on their real experiences.

Developmental approach of safety in ergonomics/human factors: insights of constructed safety in six work environments

This article brings together works on the concept of constructed safety in ergonomics, carried out over the last twenty-five years. Firstly, we situate this approach to safety in relation to previously developed existing models (e.g. regulated and managed safety) with regard to the development of activity-centred ergonomics. We then present six research actions in activity-centred ergonomics from a selection of different fields, from small companies to the industry of the future in an international group: public works, hospitals, aeronautical industry, railway transport, agriculture, and chemical industry, in order to describe constructed safety applications. The results highlight that constructed safety is respectively raised by mutual knowledge between workers and management, collective decision making, collective reflexive work on safety rules, spatiotemporal articulation of the different safety sources, knowledge integration on pesticide exposure situations by designers and regulation, social regulation sustaining risk understanding and safety aspect involving a diversity of actors (workers, preventionists, managers, local residents and public authorities). By focusing on the analysis of actual safety practices in real work and real exposure situations, constructed safety aims to account for the way in which safety is deployed on a daily basis to meet production and health objectives. This understanding contributes to the design of safe work systems in a developmental way and to propose an operating model of constructed safety.

Dynamic deadline constrained multi-objective workflow scheduling in multi-cloud environments

Workflow scheduling becomes difficult and demanding in multi-cloud systems because of the variety of billing models and resource kinds, as well as the susceptibility of processes to time limitations. In which the execution duration of the workflow needs to be flexibly adjusted according to the urgency or otherwise of the real situation, in this work, we model the workflow scheduling problem with deadline constraints as a dynamically constrained multi-objective optimization problem (DCMOP), where the disruption rate of the special cloud resources and the failure probability in different cloud environments are expressed as the disruption probability of the workflow in a comprehensive manner while considering the execution time and cost. Dynamics arise from price changes for specialized cloud resources and changes in the execution duration of workflows. In addition, an algorithm for dynamically constrained multi-objective optimization (DC-MOEA-DPDS) is proposed in this paper. The algorithm based on two-population synergy as well as diversity selection. The auxiliary population ignores constraint limitations to help the main population speed up convergence, and diversity selection enables the auxiliary population to have better diversity to assist the general public in looking for more viable areas. Through dynamic constrained workflow simulation experiments in a multi-cloud environment, our algorithm reduces the execution time by an average of 13.29%, the cost by an average of 32.26%, and the interruption probability by 56.75%. In addition, our algorithm outperforms other algorithms in experiments on a dynamically constrained benchmark set.

Evaluative analysis of collection, storage, and transmission of statistical data on tuberculosis at district and central levels of health care in the Republic of Tajikistan

Aim. To assess the effectiveness of collection, storage and transfer of statistical information on tuberculosis in the districts of Rasht region.Material and methods. The material for the planned study was data on registered cases of tuberculosis for 2022 according to the National Tuberculosis Register “OpenMRS”, the Unified Health Management Information Network “DHIS2” and the initial data of primary documentation of the anti-tuberculosis service in five districts of the Rasht region (Rasht, Tajikabad, Sangvor, Nurabad, Lakhsh).Results. The studies conducted revealed a significant discrepancy in the official statistical information on tuberculosis in the unified health management information system “DHIS2”, in the national tuberculosis data register “OpenMRS” and in the primary documentation of the anti-tuberculosis service: Form No. 036, Reporting Form 8, Patient Registration Journal - TB-03 and TB-03U, Quarterly Report Form - TB-07 and TB-07U in all five districts of Rasht region.Conclusion. Frequent criticism of the specialists responsible for providing official statistics on tuberculosis for their inconsistency with WHO data, data from the unified health management information system “DHIS2”, data from the national registry “OpenMRS” and data from the primary documentation of the anti-tuberculosis service is justified. One of the ways to bring official statistical data into line with the real epidemiological situation of tuberculosis is to carry out systematic routine monitoring and evaluation of the quality of collection, storage and transmission of statistical information on tuberculosis from the district level to the central level, to organise continuous training of specialists responsible for this component, to minimise paperwork and to prioritise the digitalisation of this process.

Controlling a Virtual Structure Involving a UAV and a UGV for Warehouse Inventory

A control system based on the control paradigm of virtual structure is here proposed for a multi-robot system involving a quadrotor and a ground vehicle, operating in an automated warehouse. The ground robot can either provide extra power to the quadrotor, thus increasing its autonomy, or receive data from it. Therefore, the quadrotor is tethered to the ground robot through flexible cables, thus justifying the adoption of the virtual structure control paradigm, which allows controlling the two vehicles simultaneously. The control approach adopted aims at guiding the virtual vertical line joining the two robots to allow the quadrotor to produce an inventory of goods in an automated warehouse. Therefore, the two robots should visit a sequence of known positions, in front of cabinets of vertically arranged shelves. In each of them the quadrotor should read QR codes, bar-codes or RFID cards corresponding to the stored boxes, to produce the inventory. Therefore, the control objective, the focus of this paper, is to keep the shape of the virtual vertical line linking the two robots while moving. However, when an obstacle appears in the route, such as a box or other robot in the floor or another aerial robot, the formation changes its shape accordingly, to avoid the obstacle. An experiment in lab scale, mimicking a real situation, is run, whose results allow claiming that the proposed system is an effective solution for the problem of controlling a multi-robot system to produce an inventory in an automated warehouse.

Trajectory tracking control of unmanned surface vehicle based on optimized barrier Lyapunov function under real ocean wave modeling

The state-constrained trajectory tracking control problem of unmanned surface vehicle (USV) under real wave interference is studied in this paper. This method is closer to the actual situation. Firstly, the interference of real ocean waves measured by ocean wave experiments on USV is considered. The wave spectrum and the equal interval method are used to simulate ocean waves in combination with the classical long-crested wave model. Secondly, the simulated wave is innovatively transformed into wave interference force, and the interference of the real wave is applied to the state constraint control of USV. The disturbance observer is used to observe and compensate for the external real wave interference, and the input saturation problem in real situations is fully considered. Furthermore, this paper proposes an improved logarithmic constraint function, which pre-set the performance function to constrain the trajectory tracking position error of the USV within a reasonable range. Finally, the rationality and effectiveness of the control strategy are verified by simulation.

Effect of combined exposure to phthalates and polycyclic aromatic hydrocarbons during early pregnancy on gestational age and neonatal size: A prospective cohort study

Many studies have indicated that individual exposure to phthalates (PAEs) or polycyclic aromatic hydrocarbons (PAHs) affects pregnancy outcomes. However, combined exposure to PAEs and PAHs presents a more realistic situation, and research on the combined effects of PAEs and PAHs on gestational age and newborn size is still limited. This study aimed to assess the effects of combined exposure to PAEs and PAHs on neonatal gestational age and birth size. Levels of 9 PAE and 10 PAH metabolites were measured from the urine samples of 1030 women during early pregnancy from the Zunyi Birth Cohort in China. Various statistical models, including linear regression, restricted cubic spline, Bayesian kernel machine regression, and quantile g-computation, were used to study the individual effects, dose–response relationships, and combined effects, respectively. The results of this prospective study revealed that each ten-fold increase in the concentration of monoethyl phthalate (MEP), 2-hydroxynaphthalene (2-OHNap), 2-hydroxyphenanthrene (2-OHPhe), and 1-hydroxypyrene (1-OHPyr) decreased gestational age by 1.033 days (95 % CI: −1.748, −0.319), 0.647 days (95 % CI: −1.076, −0.219), 0.845 days (95 % CI: −1.430, −0.260), and 0.888 days (95 % CI: −1.398, −0.378), respectively. Moreover, when the concentrations of MEP, 2-OHNap, 2-OHPhe, and 1-OHPyr exceeded 0.528, 0.039, 0.012, and 0.002 µg/g Cr, respectively, gestational age decreased in a dose–response manner. Upon analyzing the selected PAE and PAH metabolites as a mixture, we found that they were significantly negatively associated with gestational age, birth weight, and the ponderal index, with 1-OHPyr being the most important contributor. These findings highlight the adverse effects of single and combined exposure to PAEs and PAHs on gestational age. Therefore, future longitudinal cohort studies with larger sample sizes should be conducted across different geographic regions and ethnic groups to confirm the impact of combined exposure to PAEs and PAHs on birth outcomes.

Correlation between kinematic parameters, ataxia and ground-to-lip distance in detomidine sedated horses.

An accurate evaluation of the degree of sedation is mandatory to adjust the dosage of sedative drugs. To determine the correlation between head height above the ground and ataxia degree in horses sedated with detomidine and the correlation existing between accelerometric variables and both parameters. Retrospective study. Twelve horses were given 0.01 mg/kg of detomidine hydrochloride iv. Measured accelerometric parameters, with one accelerometer positioned between both sacral tuberosities, included speed, stride frequency and length, regularity, dorsoventral, longitudinal, mediolateral and total accelerometric activities, relative force index and dorsoventral, longitudinal and mediolateral parts of the accelerometric activities. Head height above the ground (cm) and subjective ataxia degree were also measured. Baseline values (-15 min) and values measured 5 and 15 min after the injection and then every 15 min for a period of 2 h were obtained. There was a negative and strong correlation between head height above the ground and ataxia degree (Pearson r = -0.78, p < 0.001), particularly during the first 45 min. A significant correlation was found between head height above the ground and almost all accelerometric parameters. This correlation was very strong with stride frequency, regularity and dorsoventral and total accelerometric activities in both cases, but for ataxia, also with total accelerometric activity. Experimental conditions may not represent real clinical situations. Stride frequency and regularity are the most reliable parameters to determine degree of sedation and are related to the sedation produced. Ataxia should not be considered a separate property of sedation and does not need to be assessed separately to the depth of sedation.

BEHIND THE COMPUTER SCREEN: PERSPECTIVES ON INFORMATION ETHICS AMONG MUSIC EDUCATION STUDENTS

This study aims to understand the views and attitudes of students in the Music Education department at Erzincan Binali Yıldırım University Faculty of Education regarding informatics ethics. This research was conducted using a general survey model quantitative research design. The universe of the study comprised students in the Music Education department at Erzincan Binali Yıldırım University Faculty of Education. The selected sample, consisting of 73 students who volunteered to participate during the 2023-2024 Academic Year, was used for data collection. An information form created by the researchers and the "Real-Life Situation Scenarios with Informatics Ethics" (RLSSIE) Scale were employed in the data collection process. Overall, the students were found to have moderate views and attitudes toward information ethics. Demographic factors such as gender, age, and class level were observed to have a significant impact on ethical evaluations. Additionally, evaluations based on different scenarios revealed that participants were generally sensitive to ethical values. The influence of factors like residence and income perception on ethical views and attitudes was limited. Notably, participants who connected to the internet via mobile phones had higher ethical views and attitude scores compared to those using computers and tablets. However, the study observed that internet usage quotas did not have a significant impact on general ethical attitudes. The findings indicate that information ethics topics play a crucial role in overall ethical evaluations and suggest that individuals have a broad perspective.

Simulation of smallholder farmers’ adaptation to irrigation-induced landslides: An ABM application in human-land-policy interaction

Understanding the dynamic interaction between smallholder farmers' adaptation decision-making behavior and the policy environment in the context of human-induced disasters is vital for developing effective policies to enhance farmers' participation in disaster risk reduction (DRR). From the perspective of bounded rationality theory, this study constructs the farmer-land-policy interaction (FLPI) model, taking Heifangtai in Loess Plateau, China, as a case study. Based on first-hand micro data, this study combines static econometric model analysis with dynamic simulation techniques, achieving a combination of micro decision-making and macro policies to understand the interaction between farmers and the policy environment. The FLPI model simulates farmers' future adaptations under multiple policy scenarios (baseline, mandatory policy, and subsidy policy scenario with a combination of different policy tools) from 2021 to 2030. Compared with the simulation results of the baseline scenario, the results indicate that mandatory and subsidy policies are effective interventions incentivizing farmers’ adaptation behavior for effective DRR. Mandatory policies rely on policy intervention to ensure that farmers adopt drip irrigation and to promote the generation of long-term behavior of farmers. And the results also propose a suitable subsidy range of 700–900 yuan and with a period of more than 2 years for subsidy policy. This study enriches the research on the interaction simulation between farmer behavior and policy environment under the background of human-induced disasters. And the FLPI model uses survey data as input, which could provide behavior rules closer to real situations than that of simplifying assumptions. The research indicates that the “bottom-up” approach of the FLPI model proven more appropriate to presenting micro-level adaptation and dynamic changes than traditional statistical models.And the agent-based model is very suitable for simulating the behavioral decision-making changes of farmers in policy environments.

A Diffusion Model to Describe Water Absorption by Red Rice during Soaking: Variable Mass Diffusivity, Variable Volume, Use of Boundary-Fitted Coordinates

This article aims to carry out experiments on water absorption by husked red rice at constant temperatures of 28, 40, and 50 °C. The description of the absorption kinetics and the analyses of the water distribution and volumetric expansion of each grain, at a given instant, were carried out using a diffusion model. In order for the model to be as close as possible to the real physical situation, the mesh necessary to numerically solve the diffusion equation was generated from the photograph of a grain. Thus, the diffusion equation was written in Boundary-Fitted Coordinates (BFCs). The solution of the diffusion equation written in generalized coordinates was then discretized in space and time, using the Finite Volume method, with a fully implicit formulation, considering the variable volume and variable mass diffusivity as functions of the local moisture content. Optimizations based on the Levenberg–Marquardt algorithm make it possible to determine the parameters of an exponential function relating mass diffusivity and the local moisture content for each temperature. Statistical indicators (chi-square, determination coefficient, and Student’s t-test) allowed us to conclude that the proposed model was very satisfactory for all temperatures, making it possible to simulate the water absorption, water distribution, and volumetric expansion of the grain over time.

Gender Characteristics of Reflection in Higher Education Students in Relation to Social Intelligence

Purpose of article: to highlight the results of an empirical research on the gender characteristics of the differential type of reflection in higher education students in relation to social intelligence. Systemic reflection, which allows simultaneous coverage of both the subject and object poles, is found at a high level in all male and almost all female participants; at an average level, it is found in a small number of female participants. Introspection, which promotes focusing on the experiences of both own and other people, is identified at a high level in three-fifths of the male participants and slightly less than one-second of the female participants; at an average level, it is found in two-fifths of the male participants and slightly more than one-second of the female participants. Quasi-reflection, which involves detachment from the real situation due to a focus on an ideal object, is found at a high level in three-fifths of the male participants and slightly more than one-second of the female participants; at an average level, it is found in two-fifths of the male participants and slightly less than one-second of the female participants. No low levels of systemic reflection, introspection, or quasi-reflection were observed. Statistically significant differences were found only in the levels of introspection between male and female participants. Statistically significant correlations between the overall social intelligence indicator and systemic reflection, introspection, and quasi-reflection have demonstrated that reflection is a psychological mechanism of the development of social intelligence in higher education students with special educational needs.

Optimal Sizing of Electric Vehicle Charging Stacks Considering a Multiscenario Strategy and User Satisfaction

The rapid growth of EVs relies on the development of supporting infrastructure, e.g., charging stations (CSs). The sizing problem of a CS typically involves minimizing the investment costs. Therefore, a flexible and precise sizing strategy is crucial. However, the existing methods suffer from the following issues: (1) they do not consider charging station deployments based on the charging stack; (2) existing sizing strategies based on smart charging technology consider a single scenario and fail to meet the demand for flexible operation under multiple scenarios in real-life situations. This paper proposes a novel CS sizing framework specific for charging stacks to overcome these challenges. Specifically, it first addresses the charging-stack-based CS sizing problem, and then it proposes the corresponding multiscenario constraints, i.e., exclusive and shared, for capacity-setting optimization. In addition, a novel quality of service (QoS) formulation is also proposed to better relate the user QoS levels to the CS sizing problem. Finally, it also explores the relationship between the investment costs and the total power of the needed charging stack under three business models. Extensive experiments show that the proposed framework can offer valuable guidance to CS operators in competitive environments.

GAMBARAN GRIT PADA MAHASISWA PENDIDIKAN PROFESI DOKTER PERGURUAN TINGGI NEGERI (PTN) DAN PERGURUAN TINGGI SWASTA DI INDONESIA

Medical professional students have responsibilities, such as facing unpredictable real situations, large numbers of patients, uncooperative patients, and difficulties with the diseases they treat. The number of responsibilities can cause emotional exhaustion, stress, and burnout for medical students. To overcome this, medical students need a “Grit”. Grit is the desire of oneself to achieve long-term goals accompanied by high perseverance and consistency of interest in these goals. This study uses a quantitative approach with a descriptive research design. The population of this study were medical professional education students in Indonesia. This study used a non-probability sampling technique with convenience sampling. The sample size used was 120 participants. The results of this study are professional medical education students have a high grit score (91.67%). Based on the dimensions of consistency of interest and perseverance of effort, the majority of medical professional students have high scores on both dimensions. In this study, the most selected internal factor was "Purpose" (27.2%), while the external factor was "Parenting" (36.67%). A recommendation for future research to conduct mixed method research to examine the topic of grit and its factors more elaborately in order to determine its influence on individuals.

Case Study Manufacture of Cotton Polo Shirts and Jumpers

Objective: Explore the manufacturing process of tangüis cotton polo shirts and jumpers from a Peruvian textile company to optimize the process and obtain quality products that can compete in the international market. Theoretical Framework: The forecast demand and forecast control, the required and available capacity of workers and machines for the production process, the aggregate planning of the required workforce, the master production program, and the disaggregation of material requirements with the calculation of the corresponding lead-times. Method: Basic and applied hypothetical case study, transversal and exploratory, non-experimental, where the production process of cotton polo shirts and jumpers is simulated in one year considering their seasonality. Results and Discussion: Proposal for the demand estimation, forecast control, the required and available capacity of workers and machines necessary for the production process, the aggregate planning of the required workforce, the master production program, and the disaggregation of materials with the calculation of the corresponding lead-times. Research Implications: Be able to replicate the case in real situations of companies focused on textile manufacturing to determine their real estimations and propose proposals for continuous improvement. Originality/Value: The contribution to the literature of a case study that can be replicated to the reality of companies oriented to textile manufacturing to optimize their processes and contribute with their proposals for continuous improvement.

Sympathetic response following unannounced loss of balance during walking in young adults: laboratory study.

An unannounced balance loss during walking, i.e., balance perturbation, is a stressful event, which changes the activity of the sympathetic nervous system (SNS). We examined SNS response to unannounced balance perturbation during walking, simulating real-life condition of balance loss. We asked: do laboratory-induced unannounced balance losses during walking cause a sympathetic response, and-if so-does it habituate after a series of perturbations? Thirty-four young adults underwent a series of six successive unannounced balance perturbations while walking on a treadmill. Sympathetic activity was monitored continuously using electrodermal activity and compared before and immediately after each unannounced perturbation. All perturbations elicited a significant increase of electrodermal activity (P < 0.001), indicating a phasic increase in the sympathetic drive. The relative phasic increase of electrodermal activity caused by the first perturbation was significantly higher than the last perturbation (P < 0.05). Three different types of electrodermal activity behavior were observed: steady-level tonic SNS activity, increased SNS activity, and decreased SNS activity. Balance loss during walking triggers phasic SNS response, this response habituates after a series of unannounced balance perturbations. In addition, three distinct patterns of tonic sympathetic activity may imply variations in the ability of the SNS response to habituate across individuals.NEW & NOTEWORTHY Up to date, the literature typically provides information about sympathetic nervous system activity and relatively static balance. We believe that exposing participants to a balance loss during walking, i.e., unexpected perturbation, provides a more ecologically valid situation to measure sympathetic nervous system response; this provides new and vital knowledge that can have a significant impact and understanding of how the SNS responds to a loss of balance in a real-life situation.

A Multi-Criteria Framework for Assessing the Sustainable E-Waste Management Methods with Complex Fuzzy Environment

Due to the substantial economic and environmental repercussions of improper E-waste management and treatment, the issue has gained indispensable attention. In recent years, the research has been done about the selection of proper E-waste management methods like site selection, disposal method selection, etc. with fuzzy environments. But in real situations, the major reasons for improper e-waste management are lack of awareness and improper disposal with sustainability. In finding a sustainable awareness-creating program and disposal method for E-waste, the uncertainty and its sustainability of the information make challenges to decision makers, so the problem becomes a two-dimensional problem with uncertainty. This paper uses complex fuzzy terms to illustrate this two-dimensional uncertain information, in which amplitude term represents the uncertainty about alternative and phase term represents the uncertainty about the sustainability of an alternative. First, we present a new framework MULTIMOORA under complex fuzzy structure. Then, in order to solve two-dimensional uncertain information about E-waste, the proposed complex fuzzy-MULTIMOORA method is applied, in which E-waste awareness-creating program and treatment technology selection are done. The sensitivity and comparative analysis are further delivered to validate the effectiveness of the proposed technique.

Remote Speaking Tasks: Amplifying Understanding, Proficiency, and Confidence in English Learners

The increasing prevalence of technology has brought about a shift in teaching methods, notably with the rise of remote speaking tasks, utilizing digital platforms to enrich language learning experiences for English learners. In the context of language education, proficiency in English is increasingly recognized as a vital skill for academic, professional, and social success in today's interconnected world. Previous researchers have extensively explored various aspects of language learning, with a predominant focus on conventional classroom-based activities. However, there has been limited investigation into the potential benefits of remote speaking tasks specifically in enhancing understanding, proficiency, and confidence among English learners. The purpose of this study is to investigate the impact of remote speaking tasks on English learners' understanding, proficiency, and confidence. The study used open-ended surveys with 19 English students at Universitas Nahdlatul Ulama Sunan Giri, employing NVivo 12 to examine attitudes towards remote speaking tasks and achieving data saturation with this sample size. The findings emphasize the transformative impact of integrating remote speaking tasks and video creation in language learning, highlighting their significant benefits in enhancing comprehension, retention, critical skills, and English proficiency. The practical implications underscore the need for educators to adapt instructional methods by designing engaging activities, such as collaborative projects and creative language assignments, using platforms like VoiceThread and TikTok. These specific actions for educators aim to foster active learning, enhance students' speaking skills, confidence, adaptability, and fluency in real-life situations, while also developing essential 21st-century skills for academic and professional success.

Monitoring bivariate zero-inflated Poisson processes: an alternative to copula-based bivariate attribute control chart

Occurrences of two (or more) types of defects are not uncommon in high quality (or zero-inflated) processes. Bivariate (or multivariate) attribute control charts are required to be developed for monitoring such processes. Fatahi et al. (2012) introduced the idea of applying copula function to derive joint distribution of two correlated zero-inflated Poisson distributions, which can be used to develop bivariate attribute control chart (BACC) for monitoring bivariate zero-inflated Poisson (BZIP) processes. However, the copula-based model often fails to represent bivariate zero-inflated data, which we come across in real-life situations. Li et al. (1999) model for BZIP distribution is quite flexible. Thus, it can overcome the limitations of Fatahi et al. (2012) model. In this paper, BACC is developed based on Li et al. (1999) model. The performances of the proposed BACC, in terms of in-control and out-of-control average run lengths, are evaluated extensively using simulations. The results show that the proposed BACC are well capable of detecting shifts in the parameters of a BZIP process. Further, two case studies on BZIP process data obtained by past researchers reveal that the BACC developed based on Li et al. (1999) model is more effective than the BACC developed based on copula-based model.

Biomolecular therapies for chronic discogenic low back pain: A narrative review.

Chronic low back pain caused by intervertebral disc (IVD) degeneration, also termed chronic discogenic low back pain (CD-LBP), is one of the most prevalent musculoskeletal diseases. Degenerative processes in the IVD, such as inflammation and extra-cellular matrix breakdown, result in neurotrophin release. Local elevated neurotrophin levels will stimulate sprouting and innervation of sensory neurons. Furthermore, sprouted sensory nerves that are directly connected to adjacent dorsal root ganglia have shown to increase microglia activation, contributing to the maintenance and chronification of pain. Current pain treatments have shown to be insufficient or inadequate for long-term usage. Furthermore, most therapeutic approaches aimed to target the underlying pathogenesis of disc degeneration focus on repair and regeneration and neglect chronic pain. How biomolecular therapies influence the degenerative IVD environment, pain signaling cascades, and innervation and excitability of the sensory neurons often remains unclear. This review addresses the relatively underexplored area of chronic pain treatment for CD-LBP and summarizes effects of therapies aimed for CD-LBP with special emphasis on chronic pain. Approaches based on blocking pro-inflammatory mediators or neurotrophin activity have been shown to hamper neuronal ingrowth into the disc. Furthermore, the tissue regenerative and neuro inhibitory properties of extracellular matrix components or transplanted mesenchymal stem cells are potentially interesting biomolecular approaches to not only block IVD degeneration but also impede pain sensitization. At present, most biomolecular therapies are based on acute IVD degeneration models and thus do not reflect the real clinical chronic pain situation in CD-LBP patients. Future studies should aim at investigating the effects of therapeutic interventions applied in chronic degenerated discs containing established sensory nerve ingrowth. The in-depth understanding of the ramifications from biomolecular therapies on pain (chronification) pathways and pain relief in CD-LBP could help narrow the gap between the pre-clinical bench and clinical bedside for novel CD-LBP therapeutics and optimize pain treatment.