Digital Converter Research Articles

Smart Cities, Digital Inequalities, and the Challenge of Inclusion

While cities on a global scale embrace smartness as a roadmap for efficient urban governance, disparities persist in the domain of digital accessibility, literacy, and skills, with manifestations of digital exclusion, ageism, and ableism prevalent in most digital urban experiences. Despite their commitment to bridging the digital divide, governments lack comprehensive frameworks to inform policymaking and action for inclusion in smart cities. This review paper aims to deepen the understanding of the multifaceted challenges confronting the governance of inclusion in smart cities. Drawing from a review of research encompassing digital inclusion, digital transitions, smart cities, and urban governance, we discuss who is included and excluded in the governance of smart cities; what are the necessary conditions to be met for smart cities to be considered inclusive; and how can smart city governance deliver public value and equal benefits for all. As a novel contribution, this paper outlines a reflective framework to inform citizen inclusion in the governance of smart cities. This framework is meant to act as a starting point in the design of inclusive digital urban policies, and can also be employed to assess the directions taken to date in public organizations towards more inclusive urban practices.

Accelerating data acquisition with FPGA-based Edge Machine Learning: a case study with LCLS-II

Abstract New scientific experiments and instruments generate vast amounts of data that need to be transferred for storage or further processing, often overwhelming traditional systems. Edge Machine Learning (EdgeML) addresses this challenge by integrating
Machine Learning (ML) algorithms with edge computing, enabling real-time data processing directly at the point of data generation. EdgeML is particularly beneficial for environments where immediate decisions are required, or where bandwidth and
storage are limited. In this paper, we demonstrate a high-speed configurable ML model in a fully customizable EdgeML system using a Field Programmable Gate Array (FPGA). Our demonstration focuses on an angular array of electron spectrometers,
referred to as the ’CookieBox,’ developed for the Linac Coherent Light Source II (LCLS-II) project. The EdgeML system captures 51.2 Gbps from a 6.4 GS/s analog to digital converter and is designed to integrate data pre-processing and ML inside an
FPGA. Our implementation achieves an inference latency of 0.2 μs for the ML model, and a total latency of 0.4 μs for the complete EdgeML system, which includes preprocessing, data transmission, digitization, and ML inference. The modular design of
the system allows it to be adapted for other instrumentation applications requiring low-latency data processing.

From face-to-face to screen-to-screen: exploring the multifaceted dimensions of digital mental health care

BackgroundWith the onset of the COVID-19 pandemic, the world witnessed an unprecedented surge in the adoption of digital platforms across various sectors, including mental health care. In countries such as Pakistan, where traditional face-to-face therapy practices hold social and cultural significance, transitioning to digital therapeutic methods presents a range of unique opportunities and challenges.ObjectivesThis research aimed to explore the dynamics, implications, and perceptions surrounding digital therapeutic care within the Pakistani sociocultural context. Given the paucity of literature on this subject in the Pakistani context, this study aims to bridge the evidence gap between trends in digital therapy and localized practices. The main goal was to understand the benefits, issues, and challenges therapists and clients face when adopting digital modes for therapeutic care.MethodFor this study, primary data was gathered from counsellors and therapists using a qualitative in-depth interview guide. Using a thematic analysis approach, key themes were derived from the interviews that provided insights into the experiences and perceptions of the participants.ResultsThe study revealed that digital platforms have great potential in breaking down geographical barriers making therapeutic interventions more accessible to a wider demographic. This increased accessibility also brought about a level of comfort for clients as they could access therapy from their familiar surroundings. Among the challenges that needed attention, security and confidentiality stood out, requiring strict measures to safeguard client’s data. The shift also brought to light the diverse range of feedback from clients, which was influenced by factors like age and technological proficiency. Moreover, the digital transition posed challenges for both therapists and clients, with many facing an adjustment period as they transitioned from face-to-face to online sessions. One significant challenge was the perceived difficulty in fostering a deep interpersonal connection in a virtual environment. This was further compounded by the need for therapists to modify traditional therapeutic techniques to fit the online mode.Conclusion and implicationsThe study underscores the evolving nature of digital therapy in Pakistan, setting a foundation for further exploration in aligning technology with therapeutic needs, ensuring optimal benefits for clients while preserving the sanctity and efficacy of the therapeutic relationship.

Digitalization as a resilience strategy for women owned SMEs during crises

AbstractAlthough the entrepreneurial gender gap is decreasing in European economies, the obstacles faced by women entrepreneurs remain numerous and often differ from those encountered by men. The COVID-19 pandemic, and then the energy crisis, have made it even harder for women entrepreneurs to sustain their businesses and have added to the challenges of work and private life. Women entrepreneurs, among many others, had to face how to survive crises and adjust their businesses to new circumstances to become more resilient, remain competitive and sustainable in times of crises, and in particular to improve their digital skills. A new insight is crucial for more efficient entrepreneurial development for women. A cross-country research helps to identify the needs of women entrepreneurs and provide a solid basis for the development of tailor-made activities focusing on innovative and practical solutions to support the up-skilling and resilience of women entrepreneurs. Through a survey conducted with 608 women entrepreneurs from seven European countries, our basic question was how women entrepreneurs managed to get through and become resilient in times of crises. The focus of our analysis is digitalization: did the rapid digital transition help women entrepreneurs become resilient during turbulent times? Did the practicing of digitalization-based resilience strategies (including remote work, online sales and similar approaches) improve women entrepreneurs' operational efficiency and strength?

Characteristics and Challenges of AI Education in the Liberal Arts Curriculum of Domestic Universities : With Emphasis on the Linkage between the Primary and Secondary Education Curriculum and the Liberal Arts Curriculum of University in the Digital Trans

This paper aims to explore the characteristics and challenges of Artificial Intelligence (AI) education in the liberal arts curriculum of domestic universities. The revision of the curriculum to strengthen digital literacy has been in the field of the liberal arts in major universities. However, universities haven’t been aligning their curriculum with the core competencies developed in earlier stages. This has resulted in a disconnect occurring between AI education at the primary/secondary level and the university level. This gap can lead to students struggling to advance in AI-related topics as they transition to higher education. The liberal arts education of universities does not consider or reflect any linkage with the coherent system of the national curriculum, such as the 2022 revised national curriculum, of primary and secondary schools, which prevents the progress of students’ learning agency. For example, universities should take steps to open and run AI-related courses, regardless of government-supported projects, such as software (SW)-centered university projects. In fact, these project-based courses have not successfully addressed the need for a comprehensive AI and digital literacy education within the liberal arts. This paper, therefore, makes the following suggestions. Firstly, the liberal arts curriculum for AI education should restore its essence of humanity, preparing students to critically assess both the benefits and risks of AI in experiencing the digital transition. Secondly, universities should open and support AI-related courses in the liberal arts, ensuring that lecturers and professors receive the necessary resources to teach comprehensive AI education effectively.

Orchestration mechanisms in sustainability-oriented innovation: a meta-organization perspective

Purpose This paper aims to investigate how orchestration mechanisms characterizing meta-organizations can support sustainability-oriented innovation (SOI) leveraged by digital transition. Design/methodology/approach This study adopted a qualitative approach. The authors collected qualitative data from 41 in-depth interviews with key informants, participatory longitudinal observations and secondary data analysis related to a digital innovation hub (DIH) and its network. Findings The findings reveal how meta-organizations, such as DIHs, advance SOI – considering the potentialities of digital technologies – through four orchestration mechanisms: collaboration platform setup, SOI resource arrangement, SOI process enablement and SOI scale-up. Each mechanism is founded on recurrent SOI practices identified as aligning, assembling and progressing, and each is characterized by specific activities that depend on meta-organizations’ evolutionary purposes related to the stages of the creation process. The activation of mechanisms concerns a process outlining three sequential evolutionary trajectories: for assessing and regulating interaction, for promoting and coordinating collective action and for creating a collective identity. Originality/value This study contributes to meta-organization and orchestration research oriented toward SOI and leveraged by the digital transition, and considers the distinctive orchestration mechanisms and practices required to support SOI leveraged by the digital transition. Differently from previous research on orchestration and meta-organizations, this study considers the time perspective, and thus, the sequentiality of mechanisms (evolutionary trajectories) to achieve the purposes characterizing the stages of meta-organizations’ creation process.

Brain health is essential for smooth economic transitions: towards socio-economic sustainability, productivity and well-being

Abstract Optimal brain health is essential to smoothing major global skill-intensive economic transitions, such as the bioeconomy, green, care economy and digital transitions. Good brain health is vital to socio-economic sustainability, productivity and well-being. The care transition focuses on recognizing and investing in care services and care work as essential for economic growth and social well-being. The green transition involves shifting towards environmentally sustainable and fairer societies to combat climate change and environmental degradation. The digital transition aims to unlock digital growth potential and deploy innovative solutions for businesses and citizens, and to improve the accessibility and efficiency of services. The bioeconomy transition refers to the shift towards an economy based on products, services and processes derived from biological resources, such as plants and microorganisms. Brain capital, which encompasses brain health and brain skills, is a critical economic asset for the success of economies of the future. The brain economy transition from a brain-negative (brain-unhealthy) economy, which depletes brain capital, to a brain-positive (brain-healthy) economy, which arrests and reverses the loss of brain capital, will be foundational to these major transitions. Increased brain capital is vital to educational attainment, upskilling and reskilling. In this paper, we provide a detailed roadmap for the brain economy transition.

Application and Innovation of Artificial Intelligence in Forensic Medicine

As the fourth industrial revolution, artificial intelligence is reshaping many industries. It has become a new cornerstone of digital conversion, and it is no exception in the field of forensic medicine.This paper mainly discusses how artificial intelligence can solve the problems related to forensic medicine.How to use artificial intelligence technology to develop into an auxiliary tool in the field of forensic medicine.This paper summarizes the exploratory data analysis, statistical modeling and machine learning in artificial intelligence, extracts insights and knowledge from the data, and applies them to various fields of forensic medicine.Artificial intelligence will improve the accuracy and efficiency of forensic work: it can automate some tasks and improve the quality of evidence. The comprehensive analysis results show that the artificial intelligence proposed in this paper will be an important auxiliary in the three directions of forensic medicine.

2.B. Scientific session: Learning from intercountry comparisons in digital healthcare transition monitoring

Abstract In many countries, healthcare is facing several challenges, including increasing healthcare demand, healthcare workforce shortages, rising healthcare costs, and keeping healthcare accessible. It is thought that the use of digital health might help to tackle these challenges. However, digital health programs and interventions are often not (systematically) monitored or evaluated. Monitoring of the digital healthcare transition in countries over time helps policymakers and healthcare professionals to investigate which digital services work well, and which do not, to (partly) solve the experienced challenges. In Europe, several countries monitor the digital healthcare transition within the primary and secondary care in their country. Comparing and sharing the monitoring methodologies between countries and describing the current state of the digital healthcare transition in primary and secondary care, will help to learn from other countries about how digital health could help to tackle the frequently experienced healthcare challenges. During this workshop, three countries throughout Europe (the Netherlands, Italy and Denmark) will briefly share their methodologies used for monitoring the digital healthcare transition in their country and will provide an up-to-date overview of the current state of the digital healthcare transition in primary and secondary care in their country. Challenges, achievements and future plans for the monitoring of this transition will also be shortly discussed in 10-minute presentations. Further, there will be 25 minutes for audience interaction which will be moderated by the chairperson. During this discussion, there is time to hear experiences from other countries and explore best practices in monitoring the digital healthcare transition. Key messages • The digital healthcare transition can be monitored in different ways. Experiences from three European countries may inspire others to organize national monitoring programs. • The speed and nature of the digital healthcare transition differs between European countries. Experiences from three European countries provide insight into state of the art of national transitions.

Monitoring the digital healthcare transition in the Netherlands: Challenges, achievements and future

Abstract Since 2013, the Netherlands Institute of Health Service Research, along with other Dutch research institutes, has monitored the digital healthcare transition in The Netherlands. Through annual surveys of both healthcare professionals (from primary and secondary care) and users (patients as well as the general population) from 2013 to 2023, trends in digital health utilization and experiences have been tracked. Overall, there has been a steady increase in digital care adoption since 2013, but in 2023, growth among professionals stabilized while slightly rising among users. Some tools saw significant increases, like automatic medicine dispensers and home monitoring, freeing up nurses’ time. Utilization patterns differ among patients according to their educational attainment and age, showing lower usage rates among older individuals and those with lower levels of education. Most professionals, especially nurses, view digital care positively, but they recognize its limitations in solving healthcare challenges entirely. Healthcare professionals believe it offers only a limited contribution to cost management, workload reduction, and job satisfaction and emphasize the need for seamless integration into routine care. User opinions are divided, with those with chronic conditions often expressing skepticism. Both professionals and patients agree that personal experience is crucial in determining its value. Additionally, ensuring user-friendliness and clarifying reimbursement for digital healthcare are essential. This workshop provides an overview of developments in the Netherlands and a discussion of challenges, achievements, and prospects. Particular attention will be paid to the monitoring of digitalization progress and effects, and the use of digital solutions in primary and secondary care.

Monitoring the digital healthcare transition in Denmark: Challenges, achievements and future

Abstract Denmark is often mentioned as one of the countries that have introduced digital solutions early and extensively within the health care sector, including the launch of health portal sundhed.dk in 2003, the introduction of the e-record system ‘e-Journalen’ in 2007, and the establishment of a national infrastructure for telemedicine in 2012. Denmark is well advanced in digital health measurement, providing opportunities for researching the digital transition and its effects for healthcare organizations and Danish citizens. Most digital health data is collected through national population-based databases and registries. Additionally, annual surveys of health professionals and biennial surveys of citizens’ use of health IT are conducted. Recent data show that all general practitioners use electronic health records, mainly for receiving laboratory test results from hospitals, ordering prescriptions at pharmacies, exchanging records, and sending referrals to hospitals. This workshop provides an overview of developments in Denmark and a discussion of challenges, achievements, and prospects. Particular attention will be paid to the monitoring of digitalization progress and effects, and the use of digital solutions in primary and secondary care. Issues about implementation and evaluation of digital infrastructure will be discussed with examples from Danish health care. A key question is whether digital solutions can fulfill their promise of supporting integrated and home based health care in an era of changing demographics.

Influence of Arsenate Competition on Tungstate Sorption by Soil

The green and digital transitions toward sustainable development will drive an increased demand for critical raw materials, among which tungsten plays a crucial role in emerging sustainable technologies. Understanding the sorption processes of tungsten in soils is essential for assessing its bioavailability and potential toxicity to living organisms. In many soils, tungsten may co-exist with other contaminants, such as arsenic. Investigating the competitive sorption between these two anions helps clarify how they interact within the soil matrix. Batch experiments were conducted on three Mediterranean soils to evaluate the sorption behavior of tungstate and arsenate, both individually and in combination, using a “Langmuir-type” model. Both anions exhibited the highest sorption in acidic soils and the lowest in alkaline soils. While the shapes of the isotherms were similar in both single and binary systems, the maximum sorption values decreased when a co-occurring anion was present. These reductions can be attributed to competition for soil sorption sites, which have a high affinity for both anions. In all tested soils, the percentage decrease in arsenate sorption in the presence of tungstate was greater than the decrease observed for tungstate in the presence of arsenate. Gaining a deeper understanding of tungsten’s sorption mechanisms is critical, not only for advancing environmental research but also for informing regulations that currently give limited attention to the presence of tungsten in soils.

The future of public health in Europe

Abstract EuroHealthNet - in collaboration with the Copenhagen Institute for Futures Studies - has conducted a Foresight study to collect insights and identify risks and opportunities. The study investigates the role of public health by 2035 in achieving health equity through health promotion and prevention, in the context of the digital and green transition. The multi-round study ran from June to November 2023. It consisted of a workshop, a kick-off meeting, two rounds of surveys using the Delphi method, and a final back-casting expert panel. The Foresight exercise involved 35 experts across Europe and covered six themes: public health policy and governance; public health financing and spending; sustainability and the green transition; health promotion and disease prevention; equity and society; digitalisation in public health. The presentation will highlight some of the outcomes, recommendations as well as experiences from this Foresight exercise and how it can be applied in practice.

Monitoring the digital healthcare transition in Italy: Initiatives, metrics and feedback from Primary Care Physicians

Abstract Italy’s healthcare sector has undergone significant digital transformation since 2008, driven by national strategies and reforms overseen by the Ministry of Health, the Ministry of Economy and Finance, and the Agency for Digital Italy. Key initiatives include the establishment of centralized booking systems, electronic health records (EHR), ePrescription, dematerialization of medical reports and disease certificates, patient summary, and telemedicine services. Despite regional variations, progress in the EHR adoption has been notable. Ongoing investments under the 2021 National Recovery Plan aim to further enhance digital healthcare infrastructure by 2025 through the involvement of the Italian National Agency for Regional Healthcare Services (AGENAS). Currently, Italy monitors progress through comprehensive measurement frameworks tracking digital health initiatives’ implementation and impact. These encompass indicators reported quarterly by public healthcare facilities regarding the implementation of patient portals, regional registries, network infrastructure, regional EHR systems (i.e., n° of users), and digital laboratory reports. In parallel, we conducted a cross-sectional survey assessing knowledge, opinions and concerns among primary care physicians (PCPs) following the 2022 reform, which introduced Community Hospitals, Community Houses, and telemedicine in primary care. The survey highlighted mixed opinions and insufficient knowledge among PCPs regarding the novelties. Clearer communication and coordination with territorial services appears necessary. Many GPs are engaging in telemedicine, but digital literacy gaps remain, as only 35.7% believed they had necessary digital literacy. This is an insight into Italy’s digital health roadmap, mainly involving primary care and focusing on achievements, challenges, and future prospects in utilizing digital solutions across healthcare settings.

Regulating AI in the ‘twin transitions’: Significance and shortcomings of the AI Act in the digitalised electricity sector

AbstractThe use of artificial intelligence (AI) in the electricity sector is increasing as part of the twin digital and green transitions in the European Union (EU). AI technologies can be used for optimisation, prediction and scheduling purposes, offering possible solutions to the challenges presented by the ongoing energy transition. At the same time, AI technologies in general, not only in the electricity sector, also raise concerns about (unintended) harms and risks for people. To respond to these concerns, the EU has taken steps to regulate the responsible development and use of AI. A significant milestone in this endeavour is the recent adoption of the AI Act, the first horizontal EU legislation introducing harmonised rules for AI systems. In this paper, we examine different uses of AI in the electricity domain and investigate the extent to which the upcoming AI Act applies to them. In addition, we identify the shortcomings of the AI Act in the context of the electricity sector, as well as aspects that are not covered by this legislation. We show that the AI Act will only cover a narrow subset of AI systems in the electricity sector and that addressing some of the challenges that these systems pose may require further regulation.

Examining the impact of artificial intelligence on employee performance in the digital era: An analysis and future research direction

A new era of digital transformation has begun with the rapid integration of Artificial Intelligence (AI) technology with human management, changing traditional methods to people management. Due to the unprecedented digital transitions that businesses are seeing, AI integration in Human resource management (HRM) has become a significant area of focus. This systematic literature critically examines how AI is altering the landscape of its impact on employee performance in the HRM area in the era of digital transformation. The Scopus database, where 73 peer-reviewed articles are found These are subjected to integrated methodology of Bibliometric analysis, Content analysis, Epistemological analysis and Substantive analysis to identify the emerging themes, trends and contribution of theory in the AI impact on the employee performance in digital transformation era. The results identifies the major themes a) Digital Transformation in HRM for enhancing Efficiency b) Deep learning and neural networks in HRM c) Innovation and Technology adoption in HRM and d) Human resource investments. From the epistemological analysis results “Resource Based theory,” has been mentioned highest (4 times) and shows how HRM is evolving in the context of digital change. With 3 instances each, institutional theory with empirical study is being the most common method. Substantive analysis shows the Digital Transformation, Employee Performance, Work life balance, and Organisational change are the significant criteria, whereas sub-criteria included Innovation, performance management, and Techno stress. Additionally, it investigates the challenges and opportunities arising from how AI is incorporated into HRM procedures and its implications for workforce dynamics. The study has proposed a model of 3 major criteria and 14 sub criteria for future research actions based on substantive analysis. AI integration in HRM requires strategic planning, ethical considerations, and employee well-being. Organisations that recognise these consequences and handle issues will be more prepared for AI-driven HRM.

EU public values governing the twin transition

AbstractThe European Union (EU) has voiced its support for a twin (digital and green) transition. However, in this transition, public values are (re)conceptualised and (re)shaped. Public values entail principles and norms determining rights and responsibilities for actors within a society and the governing bodies and are the foundation for future legislation. To understand the reshaping of public values in the EU twin transition, and whether the EU's current policy trend is sufficient to safeguard public values against the pressures of the twin transition, this research analyses what public values are at the core of the EU's twin transition in EU policy. The analysis of academic research in this article concerning the twin transition has identified 11 public values lying at the core of the twin transition. The examination of EU policy documents concerning twin transition developments reveals six public values embedded in legislation. Additional care should be taken to avoid the mixing of public values, as this risks pressures on public values going unnoticed.

SaaS-Based reporting systems in higher education: A digital transition framework for operational resilience

The rapid digital transformation in higher education necessitates innovative solutions to enhance operational resilience. Software as a Service (SaaS)-based reporting systems emerge as pivotal tools that facilitate data-driven decision-making and streamline institutional processes. This abstract presents a digital transition framework for integrating SaaS-based reporting systems in higher education institutions, emphasizing their role in improving efficiency, accessibility, and adaptability in an increasingly complex educational landscape. SaaS-based reporting systems provide scalable solutions that allow higher education institutions to collect, analyze, and report data in real-time, fostering transparency and accountability. By leveraging cloud technology, these systems enable users to access critical information from anywhere, thereby promoting collaborative decision-making across departments. The framework proposed in this study outlines essential components for a successful transition to SaaS-based reporting, including stakeholder engagement, data governance, and change management strategies. The implementation of SaaS reporting systems not only enhances operational efficiency but also supports institutional goals related to student success, faculty performance, and resource allocation. With robust data analytics capabilities, institutions can identify trends and make informed decisions, ultimately leading to improved academic outcomes and resource utilization. Furthermore, the adaptability of SaaS solutions allows institutions to respond effectively to changing regulatory requirements and emerging educational trends. Challenges associated with the transition to SaaS-based reporting systems include concerns regarding data security, integration with existing systems, and the need for training faculty and staff. The proposed framework addresses these challenges by emphasizing the importance of a comprehensive implementation strategy that includes risk assessment, user training, and continuous support. In conclusion, adopting SaaS-based reporting systems within a structured digital transition framework can significantly enhance operational resilience in higher education institutions. By embracing these technologies, institutions can not only improve their reporting capabilities but also foster a culture of innovation and responsiveness to the evolving educational environment. Keywords: Saas-Based Reporting Systems, Higher Education, Digital Transition Framework, Operational Resilience, Data-Driven Decision-Making, Cloud Technology, Stakeholder Engagement, Data Governance.

Direct Current to Digital Converter (DIDC): A Current Sensor

This paper introduces a systematic approach to the design of Direct Current-to-Digital Converter (DIDC) specifically engineered to overcome the limitations of traditional current measurement methodologies in System-on-Chip (SoC) designs. The proposed DIDC addresses critical challenges such as high power consumption, large area requirements, and the need for intermediate analog signals. By incorporating a current mirror in a cascode topology and managing the current across multiple binary-sized branches with the Successive Approximation Register (SAR) logic, the design achieves precise current measurement. A simple comparator, coupled with an isolation circuit, ensures accurate and reliable sensing. Fabricated using the TSMC 180 nm process, the DIDC achieves 8-bit precision without the need for nonlinearity calibration, showcasing remarkable energy efficiency with an energy per conversion of 1.52 pJ, power consumption of 117 µW, and a compact area of 0.016 mm². This innovative approach not only reduces power consumption and area, but also provides a scalable and efficient solution for next-generation semiconductor technologies. The ability to conduct online measurements during both standard operations and in-field conditions significantly enhances the performance and reliability of SoCs, making this DIDC a promising advancement in the field.

Light Output Function and Pulse-Shape Discrimination Capability of p-Terphenyl Organic Scintillator in Wide Neutron Energy Range of 1.1 to 19 MeV

In this work, we studied the light-output properties, efficiency function, as well as the pulse-shape discrimination (PSD) capability of p-Terphenyl scintillator. The selected solid cylindrical scintillation detector has a thickness of 45 mm and a diameter of 45 mm. Recently presented studies of light-output functions have only been measured for low-neutron energies. Our motivation has been to determine the light output function for p-Terphenyl scintillator more accurately over a wider neutron energy range. The measurements have been carried out with mono-energetic neutron beams in the wide energy range from 1.1 to 19 MeV. The neutron–gamma spectrometric system which we developed has been used for the measurement. The input analog signal from the detector was digitized with a fast 12-bits analog to digital converter with a sampling frequency of 1 GHz. Measured data from the detector are processed into the gamma and neutron spectra. The accurate light output function for the p-Therphenyl scintillator has been calculated. The pulse-shape discrimination capability, as well as the detection efficiency, of a p-Terphenyl scintillator are lower in comparison with a NE-213 equivalent detector.