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This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130 VTP instances are generated using Python codes in textbooks and websites that cover basic/advanced grammar topics, fundamental data structures and algorithms and two common library usages. Besides, assisting references on Python programming topics related to the VTP instances are introduced to assist novice learners in solving them efficiently.

PyPLAS offers the VTP to study grammar topics and library usage through code reading. A VTP instance asks a learner to trace the actual values of important variables or output messages in the given source code. The correctness of any answer is checked through string matching.

The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.

The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.

The study empirically investigates whether the board of directors' expertise in the focal firm's industry has implications for innovation input. Additionally, it explores how this relationship is shaped by the CEO's educational level and background in the technology area.

The article tests the hypothesized relationships through the Arellano–Bond generalized method of moment estimators, proxying innovation input by R&D to total sales. Moreover, it analyses a sample of privately-held Italian medium and large high-tech companies observed over four years by relying on a unique hand-collected dataset.

The research documents an inverted U-shaped relationship between board industry expertise and innovation input and shows that such curvilinear effect is moderated by the CEO's educational level and technology background. Specifically, while the curvilinear slope is less steep for highly educated CEO, it becomes steeper in the presence of technology trained CEO.

The paper recommends how to shape the board human capital as a meaningful driver of board effectiveness and innovation. Additionally, it calls the managerial attention towards the interaction and the interplay between board industry expertise and CEO education as able to influence the above-mentioned outcome.

While previous studies have focused on the linear and positive effect of board industry expertise on innovation, this research advances current knowledge in innovation management literature by testing the presence of a curvilinear relationship. Moreover, by exploring the moderating effect of CEO education, the paper provides a comprehensive picture on the interplay among board industry expertise, CEO educational training and innovation input.

Neo‐classical utility theory has withstood several decades of sustained criticism. Its success has been due (1) to the ability of the theory to represent an essentially non‐analytical process by analytical methods, and (2) to the fact that the theory was developed for, and applied to, advanced market economies where the simplifying assumptions are most appropriate. It is argued below that the neo‐classical formulation is inappropriate in societies where agrarian traditions predominate and that, consequently, economic policies based on such an approach have frequently been misdirected.

The purpose of this study was to investigate the status of technology adoption (TA) among clothing manufacturers in Bangladesh and examine the influences of contextual factors on their TA level. Particularly, the authors examined the effects of export orientation, top management commitment (TMC), competitive pressure (CP), cost of capital (CC) and technical skills (TS).

The data were collected from Bangladeshi clothing manufacturer through an online survey. A firm was treated as a unit of analysis.

The results revealed that the most common technologies adopted were information technology and software related and the least common were automation related. Export orientation negatively influenced while TS and CP positively influenced the level of TA.

Due to the difficulty in obtaining firm level data, data collection did not utilize a random sampling. Only firms that agree to participate were included in the data.

The authors suggest the Bangladeshi clothing manufacturers to adopt selective technologies that complement the cost leadership strategy rather than immediate differentiation strategy or technology innovations.

Focused investment in human capitals and knowledge transfer in Bangladesh, one of the newly classified developing country, should sustain their competitiveness in the global market. Further discussions provide various stakeholders with insights related to trade policies, international aids and the UN's sustainable development agenda.

This study tackles a void that exists in TA research within the labor intensive clothing manufacturing sector, especially in a lower-middle income country, which surprisingly became the second largest clothing supplier today. Unique nature of the sector as an entry to economic development process in connection to the sustainable development concept is discussed to generate implications for practitioners as well as policy makers.

A few years ago, in an effort to promote co‐operation between the two professional associations of librarians in Ireland, a Liaison Committee, consisting of members nominated by the Council of the Library Association of Ireland and members nominated by the Committee of the Northern Ireland Branch of the Library Association was formed. The first fruit of its endeavours was found in the establishment of an Annual Joint‐Conference of the two bodies, the first one being held at Portrush, in Northern Ireland in 1963.

A FEW years ago, in an effort to promote co‐operation between the two professional associations of librarians in Ireland, a Liaison Committee, consisting of members nominated by the Council of the Library Association of Ireland and members nominated by the Committee of the Northern Ireland Branch of the Library Association was formed. The first fruit of its endeavours was found in the establishment of an Annual Joint‐Conference of the two bodies, the first one being held at Portrush, in Northern Ireland in 1963.

Docking technology plays a crucial role in enabling long-duration operations of autonomous underwater vehicles (AUVs). Visual positioning solutions alone are susceptible to abnormal drift values due to the challenging underwater optical imaging environment. When an AUV approaches the docking station, the absolute positioning method fails if the AUV captures an insufficient number of tracers. This study aims to to provide a more stable absolute position visual positioning method for underwater terminal visual docking.

This paper presents a six-degree-of-freedom positioning method for AUV terminal visual docking, which uses lights and triangle codes. The authors use an extended Kalman filter to fuse the visual calculation results with inertial measurement unit data. Moreover, this paper proposes a triangle code recognition and positioning algorithm.

The authors conducted a simulation experiment to compare the underwater positioning performance of triangle codes, AprilTag and Aruco. The results demonstrate that the implemented triangular code reduces the running time by over 70% compared to the other two codes, and also exhibits a longer recognition distance in turbid environments. Subsequent experiments were carried out in Qingjiang Lake, Hubei Province, China, which further confirmed the effectiveness of the proposed positioning algorithm.

This fusion approach effectively mitigates abnormal drift errors stemming from visual positioning and cumulative errors resulting from inertial navigation. The authors also propose a triangle code recognition and positioning algorithm as a supplementary approach to overcome the limitations of tracer light positioning beacons.

Despite being a low-tech industry, woodwork manufacturing industry that includes furniture and cabinet making, witnessed technological leaps in production technologies due to technical developments in computer numerical control (CNC) machining processes. The managers of this industry have attached high importance to the selection of efficient machines as their decisions directly affect the quality and performance of products produced by the firms. Improper selection process can result in a significant decrease in productivity and flexibility. Therefore, a systematic decision-making procedure is needed to prevent inaccurate investments on machines. The purpose of this paper is to purpose a hesitant fuzzy analytic hierarchy process (HFAHP) based multi-criteria decision making (MCDM) system for CNC router selection in small- and medium-sized enterprises (SMEs) in woodwork manufacturing.

The study proposes a hierarchical model consisting of 4 main criteria and 11sub-criteria for woodwork manufacturing. Technical, personnel, economic and vendor aspects constitute the main criteria. Because of the hierarchical structure of the model, HFAHP is utilized to define the importance weights of the criteria, and to select the most appropriate CNC alternative for a manufacturing company under focus. In a selection procedure, the judgments of decision makers may have vagueness to specify the importance of criteria affecting the decision process. In the literature, the fuzzy set theory has been utilized to deal with such uncertainties. However, when the ideas of the managers have high potential to fall into contradiction in pairwise comparisons, a novel approach is needed to overcome the obstacles. HFAHP allows the membership degree having a set of possible values. It is specifically useful in compromised decisions where experts cannot agree on a single value and prefer to come up with an interval of linguistic variables.

It is revealed that for SMEs in woodwork manufacturing, the most important criterion in selecting the CNC routers is the technical aspects. It may seem counter intuitive that they do not refrain finding the technical criteria superior to the economic aspects, even though they have limited budgets compared to large-scale firms. This demonstrates that in current competitive environment, SMEs understand the need for high-quality production strategy. The weights of the remaining two criteria (personnel and vendor aspects) are relatively low because they expect that they can easily overcome the problem of adapting the workers by training, and all vendors have quality standard qualifications so they can offer a satisfactory service and supplementary systems.

The ready-to-use model proposed is specialized for SMEs in woodwork manufacturing. However, to make it an easily adaptable model for every company in the woodwork industry regardless of its size, the calculation process of the priority weights is illustrated in detail with a numerical example. Any company can follow the process using their own preferences to end up with a specific model that will perfectly reflect their own specific priorities. For demonstrating the application of the model, a case study is conducted in a woodwork manufacturing SME to select the best CNC router among three alternatives.

The originality and value of the paper is twofold. First, to the best of our knowledge, this is the first study that proposes a woodworking-specific CNC router selection for SMEs. Second, to handle the high uncertainty in the judgements, and to facilitate consensus among the experts during face to face meetings to develop compromised matrices, a very recently developed method, HFAHP is used.

This study examines mosquito-borne diseases and health hazard of using mosquito repellents in Bangladesh. This study also targets to explore the use of different mosquito repellents and associated health hazard between slum and residential people.

This study has applied a stratified systematic sampling technique taking 120 adult individuals from residential and slum areas covering users and non-users of mosquito repellents of Khulna city, Bangladesh. A structured questionnaire has been used to collect data from respondents.

Econometric techniques are exercised to examine the occurrence, severity and duration of different respiratory diseases. Results exhibit that poor and less-educated slum people are more prone to face respiratory diseases compared to residential people. The health cost of slum and residential people is estimated US$ 134 and US$ 9, respectively.

Relevant stakeholders under public health programs should spread awareness among people regarding the negative health effect of using mosquito repellent, encourage them to limit the use of harmful repellent and instead use herbal product (neem coil), avoid using repellent in living room rather use outside of room and close window and use proper bed net at night.

This study underpins arranging public health programs and taking averting actions as an impetus to raise consciousness toward the negative health effect of using mosquito repellents.